#Google Sheets get data from web

[trunao]

Excel Needs to Change: Spreadsheets Must Give Way to Web Apps

Are you facing Spreadsheet Troubles & want to convert Excel to web app? Trunao provides Excel to online database & web App service at your affordable price. We give no coding app that does your work faster and here we have some information about what type of problems occur by Spreadsheet and what is the solution for that. For more information Contact us!

[mariacallous]

The open internet once seemed inevitable. Now, as global economic woes mount and interest rates climb, the dream of the 2000s feels like it’s on its last legs. After abruptly blocking access to unregistered users at the end of last month, Elon Musk announced unprecedented caps on the number of tweets—600 for those of us who aren’t paying $8 a month—that users can read per day on Twitter. The move follows the platform’s controversial choice to restrict third-party clients back in January.

This wasn’t a standalone event. Reddit announced in April that it would begin charging third-party developers for API calls this month. The Reddit client Apollo would have to pay more than $20 million a year under new pricing, so it closed down, triggering thousands of subreddits to go dark in protest against Reddit’s new policy. The company went ahead with its plan anyway.

Leaders at both companies have blamed this new restrictiveness on AI companies unfairly benefitting from open access to data. Musk has said that Twitter needs rate limits because AI companies are scraping its data to train large language models. Reddit CEO Steve Huffman has cited similar reasons for the company’s decision to lock down its API ahead of a potential IPO this year.

These statements mark a major shift in the rhetoric and business calculus of Silicon Valley. AI serves as a convenient boogeyman, but it is a distraction from a more fundamental pivot in thinking. Whereas open data and protocols were once seen as the critical cornerstone of successful internet business, technology leaders now see these features as a threat to the continued profitability of their platforms.

It wasn’t always this way. The heady days of Web 2.0 were characterized by a celebration of the web as a channel through which data was abundant and widely available. Making data open through an API or some other means was considered a key way to increase a company’s value. Doing so could also help platforms flourish as developers integrated the data into their own apps, users enriched datasets with their own contributions, and fans shared products widely across the web. The rapid success of sites like Google Maps—which made expensive geospatial data widely available to the public for the first time—heralded an era where companies could profit through free, mass dissemination of information.

“Information Wants To Be Free” became a rallying cry. Publisher Tim O’Reilly would champion the idea that business success in Web 2.0 depended on companies “disagreeing with the consensus” and making data widely accessible rather than keeping it private. Kevin Kelly marveled in WIRED in 2005 that “when a company opens its databases to users … [t]he corporation’s data becomes part of the commons and an invitation to participate. People who take advantage of these capabilities are no longer customers; they’re the company’s developers, vendors, skunk works, and fan base.” Investors also perceived the opportunity to generate vast wealth. Google was “most certainly the standard bearer for Web 2.0,” and its wildly profitable model of monetizing free, open data was deeply influential to a whole generation of entrepreneurs and venture capitalists.

Of course, the ideology of Web 2.0 would not have evolved the way it did were it not for the highly unusual macroeconomic conditions of the 2000s and early 2010s. Thanks to historically low interest rates, spending money on speculative ventures was uniquely possible. Financial institutions had the flexibility on their balance sheets to embrace the idea that the internet reversed the normal laws of commercial gravity: It was possible for a company to give away its most valuable data and still get rich quick. In short, a zero interest-rate policy, or ZIRP, subsidized investor risk-taking on the promise that open data would become the fundamental paradigm of many Google-scale companies, not just a handful.

Web 2.0 ideologies normalized much of what we think of as foundational to the web today. User tagging and sharing features, freely syndicated and embeddable links to content, and an ecosystem of third-party apps all have their roots in the commitments made to build an open web. Indeed, one of the reasons that the recent maneuvers of Musk and Huffman seem so shocking is that we have come to expect data will be widely and freely available, and that platforms will be willing to support people that build on it.

But the marriage between the commercial interests of technology companies and the participatory web has always been one of convenience. The global campaign by central banks to curtail inflation through aggressive interest rate hikes changes the fundamental economics of technology. Rather than facing a landscape of investors willing to buy into a hazy dream of the open web, leaders like Musk and Huffman now confront a world where clear returns need to be seen today if not yesterday.

This presages major changes ahead for the design of the internet and the rights of users. Twitter and Reddit are pioneering an approach to platform management (or mismanagement) that will likely spread elsewhere across the web. It will become increasingly difficult to access content without logging in, verifying an identity, or paying a toll. User data will become less exportable and less shareable, and there will be increasingly fewer expectations that it will be preserved. Third-parties that have relied on the free flow of data online—from app-makers to journalists—will find APIs ever more expensive to access and scraping harder than ever before.

We should not let the open web die a quiet death. No doubt much of the foundational rhetoric of Web 2.0 is cringeworthy in the harsh light of 2023. But it is important to remember that the core project of building a participatory web where data can be shared, improved, critiqued, remixed, and widely disseminated by anyone is still genuinely worthwhile.

The way the global economic landscape is shifting right now creates short-sighted incentives toward closure. In response, the open web ought to be enshrined as a matter of law. New regulations that secure rights around the portability of user data, protect the continued accessibility of crucial APIs to third parties, and clarify the long-ambiguous rules surrounding scraping would all help ensure that the promise of a free, dynamic, competitive internet can be preserved in the coming decade.

For too long, advocates for the open web have implicitly relied on naive beliefs that the network is inherently open, or that web companies would serve as unshakable defenders of their stated values. The opening innings of the post-ZIRP world show how broader economic conditions have actually played the larger role in architecting how the internet looks and feels to this point. Believers in a participatory internet need to reach for stronger tools to mitigate the effects of these deep economic shifts, ensuring that openness can continue to be embedded into the spaces that we inhabit online.

WIRED Opinion publishes articles by outside contributors representing a wide range of viewpoints. Read more opinions here. Submit an op-ed at ideas@wired.com.

[swagyna]

extremely long post below the cut, please read the entire thing b4 brashly doing anything. there's a lot and there is scaling difficulty with the steps you can take.

it's actually better for android users to debloat their phones than to just turn off settings — if done correctly, you're able to fully uninstall apps from your phone.

we already know that, after Facebook being put on trial in 2012 (settled in 2022 for a measely $90m out of their $590b) due to their tracking settings — even if off — are still running. even if you turn phone settings off, apps are able to "see" one another and collect data that way. including your keyboard. i repeat:

YOUR PRE-INSTALLED PHONE KEYBOARD IS A DATA COLLECTOR

the issue is that debloating your phone takes a little know-how, and you need a PC to do it. you cannot just "disable" apps from your phone, they're still functional at some capacity.

i REALLY recommend using UAD (Universal Android Debloater) if possible. which, again, requires a computer — i also recommend that you entirely stop using any and all Google services. i am talking down to: Learning How to Read A Map

no more google maps. yes, it's a total pain in the ass, but data collection is not a joke. gmail is a data collector, YouTube is a data collector any form of docs/sheets is a collector, and again:

i cannot fucking stress this enough.

YOUR PRE-INSTALLED KEYBOARD COLLECTS YOUR KEYSTROKE DATA.

IT. TRACKS. WHAT. YOU. ARE. TYPING.

this link has installation instructions for UAD — this is to debloat your phone, focusing on unnecessary Samsung and Google apps. the major 2 problems are: you will need a computer, and you will need to learn how to use GitHub thru YT tutorials.

learning how to use GitHub will be extremely important for protecting your PC as well from Windows bullshit

🗣️DO THIS FIFTH🗣️

a chart of what apps to uninstall and what they do:

(there are also some other ways to stop/uninstall apps on this post, but i don't know the details behind them and recommend you look into them yourself if you can't use UAD)

🗣️DO THIS FOURTH🗣️

for a Google Play Store replacement:

list of games available on fdroid:

🗣️DO THIS FIRST🗣️

for a non-tracking QWERTY, QWERTZ, AZERTY, Kurdish QWERTY, Russian, and more keyboard:

for a non-tracking Japanese 3x4 keyboard:

🗣️DO THIS SECOND🗣️

NewPipe is the YT alternative; this app prevents Google from collecting your IP and you no longer have 1) ads 2) to login 3) afk prompts to check if "you're still there".

🗣️DO THIS THIRD🗣️

USE FIREFOX AND TOR. set your default search engine to DuckDuckGo on FF

(there's actually discussion on whether or not firefox is completely trustworthy on mobile due to their code not being entirely opensource. something to do with working with google. the f-droid alternative is Fennec)

also please read a bit about how to properly use Tor; the tldr is to not login to anything — social media, emails, news sites — while using it

an endnote:

you do NOT have to do this all at once; i started out with swapping my keyboard and YT over first. i'd recommend at least doing your keyboard.

i just recently swapped to fdroid and installed Tor. i'm currently swapping out all of my gmail accounts for protonmail, tutamail, and mailfence.

i haven't even opened UAD yet, as i'm still in the process of finding app equivalents on fdroid and untangling myself from google services.

these will ALL take time getting used to — it sucks and the keyboards are absolutely not as efficient, but that's because there are no installed keyloggers. do not let laziness borne out of ease of use from proprietary apps and software prevent you from protecting yourself. i cannot stress this enough : do not be lazy about this.

r/privacy, r/cybersecurity, and privacyguides are great places to get started in understanding how to protect yourself online. i definitely recommend you start looking into how to do so on your PC as well, if you've got one

as for iOS users?

you're shit outta luck.

anyway yeah DELETE YOUR FUCKING ADVERTISING IDS

Android:

Settings ➡️ Google ➡️ all services ➡️ Ads ➡️ Delete advertising ID

(may differ slightly depending on android version and manufacturer firmware. you can't just search settings for "advertising ID" of course 🔪)

iOS:

Settings ➡️ privacy ➡️ tracking ➡️ toggle "allow apps to request to track" to OFF

and ALSO settings ➡️ privacy ➡️ Apple advertising ➡️ toggle "personalized ads" to OFF

more details about the process here via the EFF

[transcuratorsblog]

How to Automate Workflows with Webhooks and APIs

Manual processes waste time, create bottlenecks, and increase the risk of errors. That’s why modern businesses are turning to automation to streamline their operations—and two of the most powerful tools enabling this transformation are webhooks and APIs.

A trusted Web Development Company can help you integrate both seamlessly into your digital ecosystem, making your workflows faster, smarter, and more reliable. But how exactly do webhooks and APIs work, and how are they different? Let’s break it down.

What Are APIs?

APIs, or Application Programming Interfaces, are structured methods that allow two applications to communicate. Think of them as waiters in a restaurant—they take your request (e.g., “Get new leads from the CRM”), deliver it to the kitchen (the server), and bring back exactly what you ordered.

With APIs, your website or system can:

Pull data from third-party services (e.g., weather APIs, shipping APIs, payment gateways)

Send data to apps like Slack, HubSpot, or Google Sheets

Trigger specific actions within other platforms (e.g., creating a ticket in a helpdesk)

APIs are request-driven—they perform actions when you call or trigger them intentionally, usually on a schedule or based on events.

What Are Webhooks?

Webhooks are like real-time notifications sent automatically from one app to another when something specific happens. Instead of checking for updates repeatedly, webhooks push the update as soon as it occurs.

For example:

When someone submits a form on your website, a webhook sends that data instantly to your CRM.

When a payment is completed on Razorpay, a webhook updates the order status in your internal dashboard.

Unlike APIs, which pull data, webhooks push data the moment an event occurs.

How They Work Together

Webhooks and APIs often work hand-in-hand. Here’s a simple workflow example:

A customer makes a purchase on your eCommerce store.

The payment gateway sends a webhook to your server confirming the transaction.

Your server then uses an API to update the customer database and generate an invoice.

In short, webhooks trigger, and APIs act. Together, they form the backbone of modern workflow automation.

Popular Use Cases for Workflow Automation

A professional web development team can help automate dozens of processes using webhooks and APIs. Some common examples include:

CRM Syncing: Send leads from your website form to Salesforce or HubSpot instantly.

Email Notifications: Trigger transactional emails using SendGrid or Mailchimp when a user registers or purchases.

Slack Alerts: Post messages to a Slack channel when new support tickets are created.

Inventory Management: Auto-update stock counts across multiple sales channels like Amazon, Shopify, and WooCommerce.

Task Management: Auto-create tasks in Trello or Asana based on customer activity or support queries.

Payment Reconciliation: Receive real-time updates from Razorpay or Stripe and reflect them in your finance dashboard.

Tools and Platforms That Support Automation

Many tools today offer native support for both APIs and webhooks. Some examples include:

Zapier and Make (formerly Integromat) for no-code automation

Stripe, Razorpay, and PayPal for payment triggers

Shopify and WooCommerce for eCommerce workflows

Google Workspace APIs for document generation and sync

Airtable, Notion, and Slack for internal task automation

However, for custom workflows or enterprise-level requirements, working with a developer or agency ensures flexibility, scalability, and security.

Security & Monitoring

Since both webhooks and APIs handle sensitive data, security is critical. Top web development companies ensure:

Token-based authentication

Encrypted payloads

Retry mechanisms in case of delivery failures

Rate limiting to prevent abuse

Logging and monitoring to track workflow success or failure

With these in place, you can trust your automation to work reliably in the background while your team focuses on high-impact tasks.

Conclusion

Whether you're managing customer data, updating records, or streamlining operations across tools, APIs and webhooks offer a powerful foundation for automation. Partnering with a Web Development Company helps you design and deploy automation that’s secure, scalable, and perfectly tailored to your needs.

The result? Fewer manual tasks, fewer errors—and a digital infrastructure that runs like clockwork.

[theblockchainking]

Top 10 Blockchain Data Analytics Firms

In the world of blockchain, data is king. But what good is it if you can’t analyze and make sense of it? Luckily, there are some incredibly smart companies out there doing just that—turning blockchain data into actionable insights. Whether you're a crypto enthusiast or a business trying to get ahead of the curve, these blockchain data analytics firms are here to guide the way. Let’s dive into the top 10 firms helping businesses understand the blockchain ecosystem, one data point at a time.

Pearl Lemon Crypto First up, we have Pearl Lemon Crypto, a firm that’s been dominating the digital space for nine years. Known for its expertise in marketing, lead generation, and web development, Pearl Lemon Crypto also brings the data game to the table. They help businesses leverage blockchain data analytics to make informed decisions that drive growth. Think of them as the GPS for your blockchain journey—navigating you through the complexities of crypto with precision and style.

Chainalysis Chainalysis is the blockchain detective you never knew you needed. Specializing in blockchain data analytics for compliance, investigation, and transaction monitoring, they help businesses trace and analyze cryptocurrency transactions. It’s like the Sherlock Holmes of blockchain: finding out where your assets have been, without needing a magnifying glass or a deerstalker hat. Visit Chainalysis

Glassnode Glassnode is like your personal fitness tracker for the blockchain. By providing on-chain data analytics and insights, it helps investors, traders, and businesses track the health and behavior of the cryptocurrency market. With their easy-to-understand metrics, Glassnode shows you the pulse of the market, so you can make more informed decisions—no more blindly following the herd! Explore Glassnode

Santiment Santiment takes a unique approach to blockchain data analytics by offering market sentiment data along with on-chain and social data analysis. They provide valuable insights that help businesses understand what’s driving the market—whether it’s news, social media trends, or on-chain activity. If blockchain analytics were a party, Santiment would be the life of it, offering the insights everyone wants but never knew they needed. Check out Santiment

TokenAnalyst TokenAnalyst is like the x-ray vision for blockchain data. Specializing in on-chain data analytics, they focus on offering insights into token movement, transactions, and wallet activity. Their deep dive into blockchain data helps investors and businesses understand where money is flowing and what that means for the market. Think of it as peeking behind the curtain at a magic show—now you can see how the trick is done! Visit TokenAnalyst

IntoTheBlock IntoTheBlock is here to help businesses unlock the full potential of blockchain data with actionable insights. They provide analytics for DeFi, NFTs, and various crypto assets, breaking down complex data into simple indicators. If you want to understand the “why” behind the data—like why Bitcoin’s price just spiked���IntoTheBlock has the answers, delivered with a side of clarity. Explore IntoTheBlock

Dune Analytics Dune Analytics is like the Google Sheets of the blockchain world—but cooler. It allows anyone (yes, anyone) to query blockchain data in real-time and create customizable dashboards. Whether you’re a developer, trader, or just a curious crypto enthusiast, Dune lets you get your hands dirty with data in a way that’s both accessible and powerful. Data analysis? Easy as pie. Blockchain data analysis? A whole new ball game. Visit Dune Analytics

Messari Messari provides in-depth blockchain data analytics with a focus on transparency and compliance. Their platform is packed with detailed reports and metrics on cryptocurrency assets, helping businesses and investors make educated decisions. Think of it as your personal blockchain news network, giving you the scoop on everything from market trends to tokenomics. Check out Messari

Skew (Now part of Coinbase) Skew (now part of Coinbase) is all about real-time crypto data analytics, specializing in derivatives, trading volumes, and market depth. If you’re serious about crypto trading and want the best market insights in real-time, Skew is your go-to. They provide some of the most precise and detailed data in the industry—perfect for those who like to get their data fresh and fast. Explore Skew

CryptoQuant CryptoQuant provides blockchain data analytics with a focus on on-chain data for better crypto trading strategies. From market analysis to wallet flows and exchange data, CryptoQuant helps businesses and investors stay ahead of the curve by offering real-time data and actionable insights. It’s like having a crystal ball for the crypto world—without the need to hire a fortune teller. Visit CryptoQuant

And there you have it! These top 10 blockchain data analytics firms are your go-to resources for transforming raw blockchain data into actionable insights. Whether you're a trader, business, or just a curious observer of the crypto world, these companies will help you unlock the mysteries of the blockchain with clarity and precision. If you're looking to stay ahead of the game, don’t forget to check out Pearl Lemon Crypto—where we make sure you’re not left in the digital dust. Happy analyzing!

[codezix]

Easiest Way to Insert Records in Salesforce Using Salesforce Inspector

Salesforce is a powerful platform that empowers businesses to manage their customer data, automate workflows, and drive productivity across departments. But whether you're a seasoned Salesforce user or just getting started, data management—especially inserting records—can sometimes be a tedious process. The native Data Import Wizard or Data Loader tools, while powerful, can be cumbersome for quick, small-scale inserts.

Enter Salesforce Inspector, a lightweight Chrome extension that offers a streamlined and efficient way to view, export, and insert records directly into Salesforce with just a few clicks. For businesses in fast-paced markets like Chicago, speed and accuracy are everything. This blog explores the easiest way to insert records using Salesforce Inspector and why working with a trusted Salesforce consultant in Chicago can help you maximize this tool’s potential.

What is Salesforce Inspector?

Salesforce Inspector is a free Chrome browser extension that enhances the Salesforce user interface by allowing power users and admins to access metadata, query data via SOQL, and perform quick data manipulation tasks. One of its standout features is the ability to insert records directly into Salesforce using a user-friendly spreadsheet interface.

Whether you're updating contact lists, loading test data, or adding multiple leads on the fly, Salesforce Inspector can save you time and reduce errors compared to traditional methods.

Benefits of Using Salesforce Inspector

Before diving into the "how," let’s look at why Salesforce Inspector is a game-changer:

No Installation Required Beyond Browser Extension No need to install external software like Data Loader. It works directly in your Chrome browser.

Lightning-Fast Data Entry Insert, update, delete, and export data in real-time without leaving the Salesforce interface.

Excel-Like Experience You can copy-paste from Excel or Google Sheets directly into Salesforce Inspector.

Supports Standard and Custom Objects Whether it's Accounts or a custom object like "Project Milestone," Salesforce Inspector can handle it.

Ideal for Developers, Admins, and Consultants It’s widely used by professionals across roles, including the experienced Salesforce developers in Chicago who often use it to test and validate changes during sandbox deployments.

Step-by-Step: How to Insert Records Using Salesforce Inspector

Let’s walk through how to easily insert records in Salesforce using Salesforce Inspector.

Step 1: Install the Extension

Head over to the Chrome Web Store and search for Salesforce Inspector. Install it and pin the icon next to your browser’s address bar for easy access.

Step 2: Log in to Salesforce

Open your Salesforce org (production or sandbox). Ensure that you’re logged into the correct environment where you want to insert data.

Step 3: Launch Salesforce Inspector

Click the Salesforce Inspector icon in the browser. A small menu will appear on the right side of your screen.

Choose “Data Import” from the menu.

Step 4: Choose Object Type

You’ll now be prompted to select the object you want to insert records into, such as:

Lead

Contact

Account

Custom Object (e.g., Property__c)

Once selected, a blank data entry table appears.

Step 5: Add or Paste Records

You can now:

Manually enter the records by typing in the fields.

Paste multiple rows directly from Excel or Google Sheets.

Make sure your column headers match the Salesforce API field names (e.g., FirstName, LastName, Email).

Step 6: Click "Insert"

Once your records are ready, click the “Insert” button.

Salesforce Inspector will validate your data and show real-time success or error messages for each row. It also returns the new record IDs for reference.

Common Use Cases for Salesforce Inspector in Chicago-Based Businesses

✅ Marketing Campaigns

Need to load a list of new leads gathered at a conference in downtown Chicago? Instead of going through the clunky import wizard, Salesforce Inspector allows marketers to quickly insert new leads in bulk.

✅ Testing and QA

Salesforce developers in Chicago often use Salesforce Inspector to quickly insert test data into a sandbox environment during development sprints.

✅ Small Batch Data Fixes

Let’s say you need to update 10 records across different objects. With Inspector, you can make these adjustments without exporting/importing massive CSV files.

✅ Custom Object Management

Chicago businesses using industry-specific custom Salesforce objects (real estate, finance, healthcare, etc.) benefit from Inspector's flexible schema handling. Working with a Salesforce consulting partner in Chicago can help tailor these processes to specific verticals.

Pro Tips for Using Salesforce Inspector Effectively

Use SOQL Explorer First Before inserting records, use the built-in SOQL query feature to review existing data and avoid duplicates.

Save Your Insert Templates Keep Excel templates for frequently inserted objects. This makes the process even faster the next time.

Validate Fields Ensure required fields and validation rules are considered before inserting, or you’ll encounter errors.

Work in Sandbox First Always test in a sandbox if you’re inserting many records. This helps catch schema mismatches or trigger issues.

Why Work with Salesforce Consultants in Chicago?

Although Salesforce Inspector is straightforward, it’s important to use it responsibly—especially when working with large volumes of data or complex object relationships. A Salesforce consultant in Chicago can help you implement data governance best practices and avoid costly mistakes.

They also help with:

Field Mapping: Understanding the correct API names for fields and objects

Data Model Design: Ensuring your org’s schema supports your business needs

Automation Testing: Making sure flows and triggers behave correctly after inserts

Training Staff: Teaching your internal team how to use Salesforce Inspector effectively

Whether you're inserting a few records or revamping your entire data strategy, Salesforce consulting in Chicago brings expert guidance and local market insights.

Real-World Example: Retail Business in Chicago

A retail chain based in Chicago needed to regularly import loyalty program participants from in-store sign-up sheets. Initially using Data Loader, the process was time-consuming and required IT intervention.

With the support of a Salesforce consulting partner in Chicago, they switched to using Salesforce Inspector for small weekly imports. The result?

85% time reduction in data loading tasks

Zero IT dependency for day-to-day inserts

Increased data quality due to real-time validation

The Role of Salesforce Developers in Chicago

For companies with complex data needs, a Salesforce developer in Chicago plays a crucial role in extending Inspector’s utility. Developers can:

Write Apex triggers to handle post-insert logic

Customize validations or automate follow-up actions

Build automated tools that complement Inspector for larger-scale processes

In short, developers bring structure, logic, and safety nets to the data management process.

Final Thoughts

Salesforce Inspector is one of the simplest and most efficient ways to insert records into Salesforce. Whether you're working with standard or custom objects, it dramatically reduces the time required for data entry, testing, and validation.

For businesses in Chicago—from retail to real estate to healthcare—leveraging Salesforce Inspector with expert support from local Salesforce consultants in Chicago ensures that you get speed without sacrificing accuracy or governance.

Whether you’re just exploring Salesforce or managing an enterprise-level deployment, don’t underestimate the power of smart tools combined with expert support. The easiest way to manage Salesforce data is not just using the right tools—but using them the right way.

If you're looking to optimize your Salesforce workflows, consider partnering with a certified Salesforce consulting partner in Chicago or engaging a Salesforce developer in Chicago to elevate your data strategy to the next level.

[listtodatause]

What is Structured Data and Why Do Lists Need It?

Structured data refers to information organized in a clearly defined format, such as tables with rows and columns. This structure allows software systems and users to efficiently search, analyze, and manipulate data. In contrast, a simple list—whether it's a bullet-pointed list in a document or a string of values—is not inherently useful without structure. For example, a list of names and phone numbers is just text until it’s divided into two columns labeled “Name” and “Phone Number.” This conversion gives meaning and order to the information, making it readable for both humans and machines. Lists are useful for brainstorming, capturing quick notes, or collecting raw input—but structured data unlocks their full potential.

Step-by-Step: Converting Lists to Tables in Excel and Google Sheets

One of the easiest ways to structure a list is by using spreadsheet tools like Excel or Google Sheets. Start by pasting your list into a column. If each item includes multiple parts (e.g., “John Doe, New York, 32”), you can use Excel’s “Text to Columns” feature or Google Sheets’ SPLIT() function. These tools allow you to divide each entry into multiple columns using whatsapp data like commas, tabs, or spaces. After splitting, you can add headers to each column to define your dataset (e.g., Name, City, Age). This small step transforms your raw list into an organized data table. From here, you can sort, filter, and even create charts.

Using Online Tools to Convert Lists Automatically

There are many free online tools designed specifically to convert lists into structured formats such as CSV or JSON. These include platforms like CSVLint, TableConvert, or ConvertCSV.com. Simply paste your list, select your delimiter, and the tool instantly formats your input into a data table. Some tools even let you preview your data before downloading. These web-based utilities are perfect for users without spreadsheet software or coding experience. They’re especially handy for quick jobs like formatting data for reports, email campaigns, or import into databases or CMS platforms.

Tips for Clean and Accurate Data Transformation

Successful list-to-data conversion depends on consistency. Always check that each list item follows the same structure—no missing commas, extra spaces, or inconsistent formatting. Use functions like TRIM() in Google Sheets to remove unwanted spaces, or CLEAN() to get rid of hidden characters. Standardize formats for dates, phone numbers, or capitalization. If working with large lists, apply conditional formatting to highlight errors. Finally, always validate your converted data before using it—whether for analysis, uploads, or automations. Clean data is reliable data, and a little attention early on saves time down the line.

[idmaacademy]

Everything You Need to Know from Google I/O 2025

Google I/O 2025 was full of exciting product updates, new features, and major AI announcements. From advanced AI tools like Gemini to new hardware like Android XR smart glasses, Google revealed a lot in the nearly 2-hour-long event.

Shocking News Google AI Ultra Plan Price

Google’s new AI Ultra subscription plan costs $249.99/month yes, you read that right! While the basic AI plan starts at $19.99/month, the Ultra version gives users full access with the highest usage limits across Google’s AI tools.

Google Search Gets AI Mode

What Is AI Mode in Google Search?

Google introduced a new AI Mode for Search, launching today in the United States. This feature lets you ask long, detailed questions, and it breaks your query into smaller parts using a smart method called “query fan-out.”

The AI gathers and combines results from multiple sources to give you a better answer.

What’s Coming Next in AI Mode?

Personal Context (Coming this summer): Search results will be personalized using your activity in Gmail, Calendar, and other Google apps.

Deep Search: AI will explore more websites to find in-depth information.

Data Visualization: Graphs and charts will be shown when useful.

Google says over 1.5 billion people use AI Overviews every month, so AI Mode could become their most popular feature yet.

AI Shopping with Virtual Try-Ons

Shopping Graph — 50 Billion Products

Google’s AI-powered Shopping Graph lets you describe the product you’re looking for, and it gives you visual suggestions.

Example: Say “a modern beige couch for small living rooms,” and Google will show you related options.

Also Read : GEO Takes Over: SEO for the Age of ChatGPT and AI

Virtual Try-On with AI

You can upload a photo of yourself, and AI will show you how you’d look in a dress or outfit like something out of the movie Clueless.

Price Tracking with AI Agent

AI agents can track product availability and price drops. You’ll get notified when the price changes.

This feature is available now in Google Labs.

Gemini — Google’s Star AI Model

New Versions of Gemini

Gemini 2.5 Pro — Google’s most powerful AI yet.

Gemini 2.5 Flash — A faster, more affordable version.

Gemini 2.5 Deep Think — Designed for complex math and coding, currently in limited testing.

Coding and AI Agents

Jules (Beta) — An AI coding agent that can work on your codebase and files.

Gemini in Chrome — Answers your questions based on what’s on the current web page.

Native Audio Output — Text-to-speech that mimics your voice across languages.

Gemini Features in Google Products

Agent Mode: Acts like a digital assistant that does research and tasks.

Personalized Smart Replies: Understands your tone from Gmail, Docs, and Sheets to reply like you.

Deep Research: Upload files and ask Gemini questions based on those documents.

Gemini will soon be integrated into smartwatches, smart TVs, cars, and more.

Generative AI — Images, Videos, and Music

Imagen 4 — Better AI Image Generation

Google launched Imagen 4, an advanced image generator that now handles text and fonts much better than before a known weakness in older AI models.

Veo 3 — AI Video Creation

Veo 3 can:

Understand physics for realistic scenes

Add sound effects, background noise, and dialogue

Be used through a new tool called Flow

Both are available now.

Lyria 2 — AI Music Creation

Google also launched Lyria 2, an AI music generator that can create songs and background music.

Gemini Canvas — AI Co-Creation Platform

Google introduced Gemini Canvas, a creative space where you and AI can work together on writing, design, and projects. Think of it like a blank page where your AI helps brainstorm and create content.

Android XR Google’s New AR/VR Platform

Project Moohan — The XR Headset

Google revealed Project Moohan, its immersive XR headset, made with Samsung and Qualcomm. The headset will be released later this year.

Smart Glasses with Android XR

These new smart glasses come with a camera, speakers, and in-glass display. They connect to your phone and are designed with fashion partners like:

Warby Parker

Gentle Monster

Developers can start building apps for these glasses next year.

Google Beam New Name for Project Starline

Real-Time Translations with Google Meet

Google Beam (previously Project Starline) is now an AI-powered communication platform.

One major feature: Real-time voice translations in Google Meet. The voice translation matches your tone and sounds natural.

Currently supports English and Spanish, with more languages coming soon.

Future of 3D Meetings

Google also teased a future 3D conferencing system that uses multiple cameras to create a realistic 3D version of you in video calls.

Read our Article to Know more

[the-nox-syndicate]

SysNotes devlog 1.5 (backend edition)

Hi all! In this post I will continue the development of my plurality management web-app SysNotes. Today I will be focusing mostly on setting up the databases for the app, as currently test data is stored in the code itself. This severely limits the interactivity and features of the web-app, so it is time to separate it.

In this devlog, I will explain the basics of databases and how the Laravel framework interacts with them to give you an idea of what goes on on my screen and in my brain while I code. This will just be an overview of some technical behind the scenes, nothing will have changed on the front end of the app.

If you missed the first devlog, you can find it here.

What is a database?

A database at the most basic level is a type of file format that has tables. You can think of it as a "spreadsheet file" like the ones you can open in Excel or Google Sheets. The main structural difference between a database and a spreadsheet is that in a database the tables can have relationships. For example, the relationship between a users table and a posts table is that one user can make many posts, and a post can only belong to one user. This is a one-to-many relationship. You can ask the database to give you all the posts related to a specific user. In my app, each user account will have multiple alter profiles, for example. When a user logs in, the app will only fetch the alter profiles that this user created, and show the profiles to them. You can do a whole bunch of other things with databases, that's why I like them! The main functional difference between a database and a spreadsheet is that a spreadsheet is used for data analysis and manipulation, like a fancy calculator, while a database is used to store data. Each table stores data related to one type of object/person/place. Like how spreadsheets can be opened in Excel, database tables can be opened in database software such as MySQL Workbench or HeidiSQL, which is what I'm using since it came with Laragon.

(What my Heidi DB looks like at the end of the devlog)

Plan for today

The users table already exists in my app as a result of installing the Laravel Breeze starter kit, so I don't have to worry about designing this table. With that out of the way, I can think about adding feature-related tables. The first feature I'm adding to my app is the ability to create alter profiles and to fill in the sections on the profile page. The first step is therefore to create an "alter profiles" table and to normalize it (more on that in a bit).

Setting up the database tables (and why it's a pain)

Migration files

When using the Laravel framework, you're not supposed to create a new table or edit an existing table through the database itself - it has to all be done through code. This is done using a file called a database migration. The migration specifies the table name, what columns it should have, what data types the columns should be, and what other tables this table may be related to. This is done so that if you give the code to another person and they download and ran it, their database will be set up the exact same way is yours. Therefore, the migration file makes your database changes portable, which is especially useful when copying code from your personal computer onto the server where the web-app is running. You don't want to set up your local database and then find out that it doesn't work the same way as the one that runs the actual app! Migrations aren't just for creating a new table. You also need to make a migration file for every structural change you want to make for that table, such as adding a new column or changing a column's name. Updating a table's structure after it's already been set up and filled with data has a chance of corrupting the data. Therefore, I always impose this expectation of myself of always getting the database structure right on the first try (i.e. in just one migration).

(My migration file for the alter profiles table at the end of this devlog)

Normalization

Normalization is the act of splitting up a table into 2 or more tables in order to simplify the data structure, reduce duplication, and make database queries more efficient. To illustrate, let's consider the alter profiles table. An alter can have several traits, such as "energetic" or "nervous" and so on. Let's say we should store it in a "traits" column like so:

Now let's say we decide that the word "sad" isn't quite the right descriptor, and we want to change it to "melancholic". To do that, we would need to edit every instance of this word in the table. In this example, it would only be in 2 places: on Benji's profile and on Colin's profile. But what if there were many melancholic alters? That sounds like a lot of work! What if you misspell it on accident somewhere? You won't be able to filter alters by trait properly! Instead what would be better to do is to split (haha) the alter profile table into that and a traits table. Now we will have:

So if you wanted to change the word "sad" to "melancholic", you could do it in just one place, which makes it easier and more maintainable. This is just one small example of what normalization can be. There are actually like 7 levels of it, and even I don't remember them all. In fact, what I will be doing in my app is a step further than the example and use something called a "pivot table" - a whole new type of headache! The point is, figuring out the architecture of database tables is a whole science in on itself 😩

Actually doing the coding

After brainstorming how to normalize it, the alter profile will need to be separated into several tables: alter profiles, alter characteristic types (traits, likes, dislikes, an triggers), alter characteristic values, and alter statuses (such as active, dormant, and unknown). Each profile can then reference the characteristics and statuses tables. This way, alters can like or dislike the same thing, creating the ultimate modularity!

The (pretty technical) steps are as follows:

Create the (model with) migrations for the individual tables and specify their table structure

Create a pivot table and set foreign IDs to point to the individual tables

Define the relationships in the model files

It took me a few tries to get past migration errors, and I accidentally rolled back my migrations too many times, losing my users table 🤦‍♂️ As i don't yet have any alter data in the database, I just re-registered my account and nothing was lost. Heart attack simulator lol.

Seeding data

As I'm just working with test data, I don't really care exactly what words and images are used where as long as it works. I also don't want to pain-stakingly input test data into every field for every profile every time I have to delete (drop) and remake (migrate) a table. That's where seeding comes in. Seeding is an automated process that generates dummy data and inserts it into the database, ready for me to test. I'll admit I've never done seeding before - at work I've always worked with a copy of an existing database that has been filled by years of use. But it's never too late to learn! I used seeding to create dummy data for alter profiles and trait values (trait types and statuses has to be manually inputted because they have pre-defined values). I couldn't quite figure out how to seed pivot tables, as they define relationships rather than data. So I had to add those manually too. I still have a ways to go until I'm a real developer lol.

(My Alter Profile factory at the end of the devlog - i left pronouns blank because I wanted them to somewhat match the names, so I added them manually afterwards)

(My Alter Profile seeder at the end of the devlog)

And here are my seeded tables! The faker is limited to using Latin words so I couldn't get the characteristics to look realistic. But it will be fine for test data.

(I have changed the alter names to match the names from the previous devlog)

...All this just for the profile page! But when designing a database's architecture, it is important to anticipate ways in which the database will grow and facilitate new relationships from the start. This was a tiring coding session but it has paved the way for the new and more exciting features!

What next?

This devlog was just for setting up the database tables - in the next devlog we'll get to actually use them in the app! The plan is:

Pull data from the database into the profile pages to display the freshly generated dummy data

Add a way to create new profiles using the New Profile form

Edit the profile information

[vishnupriya1234]

Essential Tools Every Beginner Data Analyst Should Master

Starting a career in data analytics is exciting—but also challenging if you’re unsure where to begin. One of the most important steps is getting comfortable with the essential tools used in the field. These tools help data analysts gather, clean, analyze, visualize, and present data in ways that support decision-making. From spreadsheet basics to advanced coding languages and visualization platforms, mastering the right tools is what transforms a beginner into a confident, job-ready data professional. In this blog, we’ll walk through the key tools every aspiring data analyst should learn and explain how each one fits into the data analysis workflow from the best Data Analytics Online Training.

Excel: The Foundation of Data Analysis

Excel remains one of the most widely used tools in data analysis, especially in small to mid-sized companies. It’s perfect for managing structured data, performing quick calculations, and building simple charts and dashboards. Beginners can start by mastering basic functions like VLOOKUP, IF statements, pivot tables, and conditional formatting. As you progress, learning Excel’s data analysis toolpak and advanced formulas will give you an edge when working with spreadsheets. Excel is often the first tool hiring managers expect you to know, so it’s a crucial starting point.

SQL: Language of Databases

Structured Query Language (SQL) is a must-have skill for any data analyst. It allows you to retrieve and manipulate data from relational databases, which are the backbone of most business systems. Understanding how to write queries, filter data, join tables, and perform aggregations is essential. SQL is used in nearly every industry—from finance to healthcare—and forms the basis of most analytics workflows. Once you’re comfortable with basic SQL commands, learning window functions and subqueries will help you handle more complex tasks with ease. If you want to learn more about Data Analytics, consider enrolling in an Best Online Training & Placement programs . They often offer certifications, mentorship, and job placement opportunities to support your learning journey.

Python: Power for Data Processing

While SQL handles querying, Python gives you the power to perform deeper data analysis and automation. Python is versatile, beginner-friendly, and widely used in data science and analytics. Libraries like Pandas, NumPy, and Matplotlib make it easy to clean, analyze, and visualize data. Python is especially useful when working with large datasets, web scraping, or building predictive models. Learning Python opens up many opportunities for growth, and its flexibility makes it a long-term asset in your analytics toolkit.

Tableau and Power BI: Data Visualization Tools

Data is most effective when it tells a story. That’s where tools like Tableau and Power BI come in. These platforms help data analysts create interactive dashboards and compelling visual reports that make insights easy to understand. Tableau is known for its powerful drag-and-drop interface, while Power BI integrates seamlessly with other Microsoft tools. Mastering one or both will allow you to communicate your findings clearly and help stakeholders make data-driven decisions. Visualization skills are increasingly in demand, and they can often set you apart from other candidates.

Google Sheets and Google Data Studio

For those working in collaborative or cloud-based environments, Google Sheets is an excellent alternative to Excel. It offers real-time editing and built-in functions for quick analysis. Paired with Google Data Studio, you can create free, interactive dashboards directly from your data. These tools are especially popular in startups and digital marketing roles. Familiarity with Google’s data ecosystem will expand your versatility as an analyst.

Jupyter Notebook: Interactive Coding Environment

Jupyter Notebook is an essential tool for working with Python in a clear, documented way. It allows you to write and execute code in chunks, making it ideal for step-by-step analysis and sharing your work with others. Many online tutorials and learning platforms use Jupyter to teach Python, and it’s widely used in professional settings for everything from data cleaning to exploratory analysis. For beginners, it offers a friendly and intuitive coding environment.

Git and GitHub: Version Control and Collaboration

As you begin building projects and working on teams, understanding version control becomes important. Git is a system that tracks changes in your code, and GitHub is a platform for sharing and collaborating on code repositories. While it may not seem essential at first, Git becomes increasingly valuable as you take on larger projects or contribute to collaborative work. Learning the basics—like cloning, committing, and pushing code—will prepare you for real-world analytics roles.

R: Another Option for Statistical Analysis

While Python is more common, R is another popular language for statistical computing and data visualization. It’s widely used in academic and research settings and is especially strong in advanced statistical modeling. Tools like RStudio provide an integrated environment for coding and reporting. If your career path involves research, academia, or specialized statistical work, learning R might be the right choice for you.

Cloud Platforms: BigQuery, AWS, and Azure

As data grows in size and complexity, cloud platforms like Google BigQuery, Amazon Web Services (AWS), and Microsoft Azure are becoming essential. These platforms allow data analysts to work with large datasets without worrying about local storage limits. While beginners don’t need to master cloud platforms immediately, getting familiar with the basics can give you an edge, especially if you’re aiming to work in larger organizations or tech-driven companies.

Choosing the Right Tools for You

It’s not necessary to learn every tool at once. Start with Excel and SQL, then gradually add Python and a visualization tool like Tableau or Power BI. Choose tools based on the job roles you’re targeting and the industries you’re interested in. As you grow more confident, expand your skill set with cloud platforms, Git, and more advanced analytics tools.

Conclusion

Mastering the essential tools of data analytics is the key to becoming job-ready and confident in your abilities. Each tool—whether it’s Excel, SQL, Python, or Tableau—plays a specific role in the data analysis process. By learning these tools step by step and applying them to real projects, you build a strong foundation that will support your career growth. With dedication and the right resources, you can go from a complete beginner to a skilled analyst capable of turning raw data into powerful business insights.

[crazybirdstranger]

The Most Important Skills for Web Developers Today

Web development is a fast-evolving field, and staying up to date with the latest tools, frameworks, and best practices is crucial for success. In today's competitive market, web developers need to master a blend of technical, problem-solving, and creative skills. Whether you’re a beginner or a seasoned professional, here's a breakdown of the most important skills for web developers today.

1. Proficiency in HTML, CSS, and JavaScript

At the heart of every web development project lies the trio of HTML, CSS, and JavaScript. These are the foundational building blocks of web development.

HTML (HyperText Markup Language) is the skeleton of web pages, responsible for structuring content like headings, paragraphs, and images.

CSS (Cascading Style Sheets) is the design layer, defining how elements should be styled, such as layout, color, typography, and responsiveness.

JavaScript adds interactivity, from dynamic content updates to form validation and animations. JavaScript frameworks and libraries like React, Vue, and Angular have become essential, helping developers build complex applications more efficiently.

Proficiency in these three languages is a must for all web developers, as they are the backbone of any web application.

2. Version Control/Git

Version control systems like Git are critical for tracking changes in code, collaborating with teams, and managing the history of a project. Git allows developers to work on separate features without interfering with the main codebase, streamlining collaboration and helping to avoid conflicts.

GitHub or GitLab are platforms that provide remote repositories for sharing code and collaborating with other developers. Familiarity with Git commands such as commit, push, pull, and merge is a skill every web developer needs in their toolbox.

3. Responsive Design and Mobile-First Development

With more users accessing websites on mobile devices, responsive design has become a key skill for web developers. This approach ensures that a website adapts seamlessly to different screen sizes, whether it’s a desktop, tablet, or smartphone.

Developers need to understand how to use media queries in CSS to create layouts that adjust according to device size. Additionally, adopting a mobile-first approach—designing the mobile version of a site before scaling it up to larger screens—is a best practice that helps ensure accessibility and performance across all devices.

4. JavaScript Frameworks (React, Vue, Angular)

While vanilla JavaScript is the foundation, modern web development relies heavily on frameworks and libraries to speed up the development process and manage complex applications. Popular frameworks include:

React: A JavaScript library for building user interfaces, particularly single-page applications. React’s component-based architecture makes it easy to break down complex UIs into reusable components.

Vue.js: Known for its simplicity and flexibility, Vue.js is another powerful framework for building interactive UIs. It’s great for developers looking for a lightweight alternative to React.

Angular: A full-fledged framework by Google, Angular is perfect for developing large-scale, enterprise-level applications. It’s a robust, opinionated framework that includes features like dependency injection and two-way data binding.

Mastering one or more of these JavaScript frameworks is a significant advantage for developers, as it allows for more efficient, maintainable, and scalable applications.

5. Backend Development (Node.js, Python, PHP, Ruby)

Although front-end development tends to get more attention, web developers should also have a solid understanding of backend development. The backend is responsible for managing the database, server, and application logic that power websites.

Some popular backend technologies include:

Node.js: A JavaScript runtime that allows developers to write server-side code in JavaScript, making it easier to build full-stack applications using a single language.

Python: Known for its simplicity and readability, Python, along with frameworks like Django and Flask, is widely used for building backend systems.

PHP: A long-standing language used for server-side development, often paired with databases like MySQL for dynamic website generation.

Ruby: The Ruby on Rails framework offers a convention-over-configuration approach, speeding up web development and making it easier to build scalable applications.

Having backend knowledge allows web developers to work on both the client-side (front-end) and server-side (back-end) of applications, making them more versatile and valuable in the job market.

6. Database Management

Every web application needs to store and retrieve data, which makes database management an essential skill for developers. Knowledge of both relational and non-relational databases is important.

SQL (Structured Query Language) is the standard for working with relational databases like MySQL, PostgreSQL, and SQLite. Knowing how to design tables, write queries, and manage relationships between data is crucial.

NoSQL databases like MongoDB and CouchDB are gaining popularity for their flexibility in handling unstructured data and scalability for large applications.

Being able to integrate databases into web applications and optimize their performance is a valuable skill for any web developer.

7. API Integration

Web developers frequently need to work with APIs (Application Programming Interfaces) to integrate external data or functionality into their applications. APIs allow one software to communicate with another, such as fetching data from a weather service, sending data to a payment processor, or interacting with social media platforms.

Familiarity with RESTful APIs and understanding JSON (JavaScript Object Notation) as the standard data format is essential. Developers should also be familiar with making asynchronous requests using AJAX or Fetch API, and working with GraphQL for more flexible data queries.

8. Testing and Debugging

Writing clean and error-free code is vital, but bugs will always arise. Testing and debugging are key skills that every web developer should master to ensure high-quality applications.

There are different types of testing:

Unit testing: Testing individual components of your code (often using frameworks like Jest or Mocha).

Integration testing: Ensuring different parts of your application work together as expected.

End-to-end testing: Testing the entire application workflow to simulate real-user interactions.

9. Web Performance Optimization

Website speed plays a major role in user experience and SEO rankings. A fast-loading website improves user retention and engagement, so web developers need to focus on performance optimization. Techniques include:

Image optimization: Compressing and serving images in modern formats (e.g., WebP).

Lazy loading: Deferring the loading of non-essential resources until they are needed.

Minification: Reducing the size of CSS, JavaScript, and HTML files by removing unnecessary characters.

10. Soft Skills: Communication and Problem-Solving

Beyond technical skills, web developers need strong communication and problem-solving abilities. Clear communication is essential for collaborating with teammates, designers, and clients. Explaining complex technical concepts in simple terms and listening to feedback are key to delivering high-quality projects.

Problem-solving skills are also crucial, as web developers often need to think critically and troubleshoot issues in code. Creativity, adaptability, and a willingness to learn new tools and technologies are also vital for long-term success in the field.

Web development is an ever-changing field, and the most successful developers are those who are constantly learning and adapting. Mastering the core skills like HTML, CSS, JavaScript, and version control is essential, but it’s equally important to stay up to date with new frameworks, tools, and best practices. Whether you specialize in front-end or back-end development, a well-rounded skill set will make you a more versatile and valuable developer in today’s competitive job market.

Stay curious, practice continuously, and embrace the challenges—because the best web developers are the ones who never stop learning.

[speed-seo]

Did you know that marketing campaigns lose up to 30% of potential insights due to poor URL tagging practices? A 2024 MarketingProfs survey highlights that 78% of marketers already rely on UTM parameters to gauge their campaign performance, yet inconsistent tagging remains a significant hurdle. Proper tracking isn't just a technical detail—it's the foundation of data-driven decisions, helping you identify winning strategies and cut through the noise. That’s where UTM builders shine. They simplify campaign tagging, ensuring your data remains clean, actionable, and aligned with your marketing goals. Whether you're a solo marketer or part of an enterprise team, this guide will introduce the top tools to elevate your tracking game in 2025. Why UTM Builders Are a Game-Changer: The Numbers Don’t Lie Before diving into the tools, let’s look at why UTM builders matter: - Consistency is Key: A 2023 Forrester study revealed that 62% of marketing teams struggle with inconsistent UTM tagging, muddying their analytics. - Scaling Up: Per HubSpot, enterprises managing 50+ campaigns monthly are three times more likely to adopt automated UTM tools. - Better ROI: Google’s analytics benchmarks show that effective UTM use boosts campaign attribution accuracy by 25%. Picking the right UTM builder can transform your tracking from a chore into a competitive edge. The Top 5 UTM Builders 1. Google Campaign URL Builder - URL: ga-dev-tools.web.app/campaign-url-builder - Best For: Solo marketers or small teams with straightforward campaigns. What It Offers: This free tool from Google is perfect for beginners. It covers the five core UTM parameters (source, medium, campaign, term, content) and adds a campaign ID for GA4 tracking. It even integrates with Bitly for shorter URLs. - Pro Tip: Leverage the campaign ID to link your URLs to specific goals or events in Google Analytics—ideal for granular conversion tracking. - Challenge: Manual entry means typos are a risk. Mistyping “facebook” as “facebok” can throw off your source data. - Pitfall to Avoid: Inconsistent casing (e.g., “Google” vs. “google”) splits your data. Stick to lowercase for all parameters. 2. Facebook Google Analytics URL Builder - URL: facebook.com/business/google-analytics/build-your-url - Best For: Social media marketers running Facebook campaigns. What It Offers: Designed for Facebook ads, this tool mandates source, medium, and campaign, making it a breeze for social tagging. - Pro Tip: Add the content parameter (e.g., “carousel_ad” vs. “single_image”) to A/B test ad creatives within the same campaign. - Challenge: Spaces in parameter values turn into instead of +, making URLs less readable. - Pitfall to Avoid: Skip spaces entirely—use hyphens or underscores (e.g., “lead-gen” or “lead_gen”) for cleaner URLs and smoother data analysis. 3. Raven Tools URL Builder - URL: raventools.com/marketing-reports/google-analytics/url-builder/ - Best For: SEO and SEM pros within Raven’s ecosystem. What It Offers: A straightforward builder that syncs with Raven’s marketing suite, great for users already invested in their tools. - Pro Tip: Combine UTM data with Raven’s reporting to track campaign performance alongside SEO metrics like keyword rankings. - Challenge: Manual input slows things down for big campaigns, eating up valuable time. - Pitfall to Avoid: Without a naming convention, your data can get chaotic. Pair this tool with a taxonomy template to stay organized. 4. Terminus App URL Builder - URL: terminusapp.com - Best For: Teams needing affordable bulk tagging. What It Offers: Terminus provides a web builder and a free Google Sheet for creating multiple URLs at once—a lifesaver for multi-campaign teams. - Pro Tip: Add dropdown menus to the Google Sheet for source and medium (e.g., “google”, “email”) to enforce tagging consistency. - Challenge: The bulk sheet lacks real-time error checking, so mistakes can sneak in. - Pitfall to Avoid: Outdated sheets lead to duplicate or irrelevant URLs. Schedule regular updates to keep your template fresh. 5. Triggerbee Link Creator - URL: triggerbee.com/link-creator/ - Best For: Email marketers who value simplicity. What It Offers: Triggerbee’s intuitive design includes a unique email parameter for tracking individual recipients—perfect for email campaigns. - Pro Tip: Pair the email parameter with your CRM to segment high-value leads or analyze audience-specific performance. - Challenge: It skips medium and term, limiting its scope beyond email. - Pitfall to Avoid: Don’t use it for non-email campaigns—it’s too specialized. Opt for a more flexible tool instead. Common Challenges in Campaign Tagging (And How to Fix Them) Even with top-tier tools, tagging mishaps happen. Here’s how to tackle three big ones: - Inconsistent Naming - Problem: Using “fb”, “facebook”, and “meta” for the same source fragments your data. - Fix: Build a taxonomy (e.g., channel_source_campaign_date) and enforce it team-wide. - Parameter Overload - Problem: Too many custom parameters bloat URLs and complicate analysis. - Fix: Stick to source, medium, and campaign unless you have a clear reason for extras. - Missing Internal Links - Problem: Tagging external campaigns but not internal actions (e.g., sign-ups) distorts your data. - Fix: Tag all trackable actions, even on-site, to map the full user journey. Best Practices for UTM Success Maximize your UTM builders with these tips: - Go Lowercase: Case-sensitive analytics tools treat “Email” and “email” as separate—use lowercase every time. - Keep It Clear and Short: Use descriptive yet concise campaign names (e.g., “winter_sale_2025” over “campaign1”). - A/B Test with Content: Track ad variations (e.g., “cta_red” vs. “cta_blue”) to spot winners. - Avoid Special Characters: Use alphanumerics, hyphens, or underscores to dodge encoding headaches. - Document It All: Store tagged URLs and parameters in a shared spreadsheet or tool like Camptag. How to Choose Your UTM Builder: A Quick Framework Match the tool to your needs: - One-Off Campaigns: Google or Facebook—free and fast. - 10-50 Campaigns/Month: Terminus for bulk efficiency. - 50+ Campaigns: A premium tool like Camptag for automation and control. - Email Focus: Triggerbee’s simplicity shines. - Integrated Analytics: Raven Tools if you’re in their ecosystem. Conclusion (Revised) At the heart of successful marketing lies one truth: you can’t improve what you don’t measure. Effective UTM tracking turns raw campaign data into strategic insights, helping you fine-tune your efforts and amplify your ROI. As the CMO Council recently reported, 72% of marketers are doubling down on automation to streamline tracking processes in 2025. Choosing the right UTM builder isn’t just about convenience—it’s about setting up a system that ensures every click tells a story and every campaign adds value. Get your UTM tagging right, and you won’t just track campaigns; you’ll chart a clear path to marketing success. Read the full article

[sean-parnell]

SEO for Manufacturers: Boost Traffic & Sales – Part 1: Onsite

When implemented effectively, search engine optimization (SEO) is a powerful tool that can transform your website into a lead generation machine and e-commerce powerhouse.

However, for it to attract the right prospects—and convert them into customers—SEO must be grounded in a deep understanding of your served market, their problems, and what they search for.

This is part 1/2 of our manufacturing SEO series – read our first article SEO for Manufacturers: Boost Traffic & Sales – Part 2: Onsite here.

Why SEO Matters for Manufacturers

SEO is the process of optimizing your website and getting high-value, third-party links to it so that you rank higher on search engines. Since Google has a 91% share of the market for searches, your SEO strategy needs to center around being within the top Google search results for your most relevant and strategically important keyword phrases – a.k.a. “keywords.” For manufacturers, this involves making your products more discoverable to potential customers instead of being a well-kept secret.

High visibility in search results for keywords your prospects search translates to more traffic, which leads to increased leads and sales. However, for SEO to be effective, it must be strategic. You must first attract relevant traffic—your target markets—to your site, then leverage engaging, high-quality, educational content to convert them into sales.

The first bedrock for a successful, comprehensive SEO strategy is onsite optimization.

Onsite Optimization: The Foundation of SEO

Keyword Research & Integration

The process starts with comprehensive keyword research to understand what terms your target audience uses to find products like yours. Tools like the Google Ads Keyword Planner, Google Search Console, Moz, SEMRush, and Spyfu can help you identify relevant keywords.

When conducting keyword research, consider the problems your prospects seek to solve and think carefully about terms that may sound pertinent. Using poorly selected keywords—those that are too general (e.g. “induction heater” vs. “induction bolt heater”) or that sound relevant but aren’t (e.g. “mold cleaner” referring to cleaning injection molds vs. your shower), can attract the wrong kind of traffic to your site and generate a lot of noise – but limited or no results.   

Once you’ve identified keywords relevant to your prospects with the highest number of searches, it’s important to integrate them into your website's content, including page titles, meta descriptions, headers, and body text – naturally, so they read well and don’t get flagged by Google as “keyword stuffing.”

Content Quality

Google rewards high-quality, relevant content marketing so it’s important to ensure your website educates prospects throughout the buyer’s journey on what will solve their problem, how it works, and how it compares with direct and indirect alternatives. Increasingly, prospects want to self-educate thoroughly before speaking with a sales rep or getting a demo – if they want to speak with a rep at all. This can include more than just product data sheets and take the form of product comparisons, case studies, blog posts, how-to guides, recorded demos and webinars, product configurators, and return on investment (ROI) calculators. Weave keywords in when appropriate but avoid keyword stuffing and anything else that degrades the quality of the writing.  

User Experience (UX)

A well-structured website that’s easy to navigate improves user experience and keeps visitors on your site longer. Ensure your site has an effective navigation menu and is mobile-friendly, as a significant portion of web traffic comes from mobile devices – especially when you conduct many email campaigns.

Using clear calls-to-action (CTAs) guides visitors towards filling out forms that generate leads – i.e. for signing up for a webinar, requesting an assessment, or downloading a guide. It’s also recommended to have a search bar in your header so they can find what they’re looking for there if they don’t find it in your navigation menu.

Technical SEO

Optimize your website's technical aspects, especially core web vitals and mobile site speed (a key determinant in rankings), XML sitemaps (a list of your site’s pages), and robots.txt files (which tell search engine crawlers which URLs they may access on your site). These elements help search engines crawl and index your site more efficiently.

Many would like you to believe that most SEO is technical and that highly specialized web skills are needed, but only a relatively small portion is.

Offsite Optimization: Building Authority

Link Building & Content Syndication

Building a network of high-quality backlinks from reputable, third-party websites enhances that have a higher Google PageRank than your website. Consider guest authoring blogs and articles on high-ranking websites, collaborating with industry influencers, and getting listed in industry and other online directories.

Additionally, there is a litany of “pay-to-play” article placements, which can be effective but it’s important to ensure that these websites have a significantly higher Google PageRank than yours or they can negatively affect your rankings.

And whatever you do, avoid the temptation to syndicate poorly written or “fluffy” content that fails to educate the reader. Though the goal of content syndication placements is for the links, some of your prospects will find and read this content so, if it’s not reflective of your thought leadership and culture, it could create a negative perception of your company.

Social Media

Promoting your content on social media platforms increases its reach and will generate more traffic to your site – LinkedIn is the most relevant, but what you can post there can be posted simultaneously to Twitter/X and Facebook.

B2B manufacturers take note: while it may be tempting to build up page followers and post often, this rarely generates a significant volume of leads or even brand awareness and can be a big drain on your time.

Leveraging Thought Leadership Content for SEO

Simply put, content is what generates leads and e-commerce sales when leveraged with SEO. Without content, you won’t have anything to optimize for search, you won’t rank for anything, and you won’t be found by prospects actively seeking your products – growth will entirely be up to your sales team and referrals. However, creating content for content’s sake is misguided.

More and more prospects are self-educating far into their buyer’s journey before they want to speak to your sales reps and some want to buy without speaking with anyone at all (ecommerce). Educating prospects on what will solve their problems and how your products do so is critically important and is achieved with thought leadership – i.e. original content vs. using ChatGPT, which recycles existing content from websites that may or may not have credibility.

Thought leadership content positions your company as an expert in your field. This educates your prospects and builds credibility and trust with your audience while also enhancing your SEO efforts. Here are some types of thought leadership content you can create:

Foundational Web Content: needs to educate your prospects on how you solve their problems with your products, process, and people, whom you serve, your culture, and who you are as a company all set the stage for prospects

Blogs & Articles: regularly publishing 1-2 blog posts per month that address industry trends, best practices, new products, and more that can also be syndicated on third-party websites will attract and engage your prospects

Case Studies: showcasing your successful projects and the value you have delivered to clients through case studies provides tangible proof of the impact of your products

Guides & eBooks: long-form educational content that is valuable educational resources can be gated and used as lead magnets to capture contact information from prospects

Comparisons & Reviews: content that compares your products with direct and indirect competitors as well as strategic alternatives (including doing nothing), not only helps prospects make informed decisions but also gives credibility to your brand – especially when you highlight areas where competitors are stronger

Calculators & Configurators: tools that help visitors calculate costs or configure products based on their needs can significantly enhance user engagement and generate leads

Maximizing Inbound & Outbound Opportunities

To fully leverage your marketing efforts for sales growth, it’s important to strike a balance between the following:

Inbound Marketing: focus on what we covered above – leverage your content with SEO to attract those actively searching for your products (demand capture)

Outbound Marketing: leverage your thought leadership content in outbound campaigns (email, direct mail, advertising, PR, social media) to reach the much larger group of prospects who are not actively searching but likely have a need (demand generation)

Expand Your Market with Blue Ocean Strategy

Once you have optimized SEO and content marketing for your existing products, it’s time to explore new markets and product opportunities. Conducting market research identifies unmet needs and opportunities for innovation, which can be the foundation of leveraging Blue Ocean Strategy to generate new demand in uncontested market spaces, driving further growth.

Partner with an Experienced Marketing Agency

Achieving all of the above can be extremely challenging and unlikely going it alone. That’s why it’s important to partner with a manufacturing and industrial marketing agency or a company that provides B2B content marketing services. To learn more, read our article How to Select the Ideal Manufacturing Marketing Agency.

[tccicomputercoaching]

5 Tech Skills College Students Must Have

Possession of strong technical skills by the student becomes indispensable in today's digital world to excel in academics, internships, and subsequent careers. Whether it's engineering, business, or arts, mastering these skills will set you apart in a competitive job market. At TCCI Computer Coaching Institute, we make sure you learn the latest in-demand skills. Here are the top five tech skills that every college student must know:

Office Tools proficiency in Microsoft Office or Google Workspace

Proficiency with MS Word, MS Excel, MS PowerPoint, Google Docs, etc.: One of the essential areas, in writing reports and manipulating data, and preparing meaningful presentations.

Advanced skills of creating formulas, pivot tables, and data visualization within MS Excel is game changing

Learn at TCCI: Advance Excel and MS Office helps you master all such tools effectively.

Basic Programming

The era is passed when programming knowledge was limited to computer science students. Programming languages like Python, Java, and HTML/CSS are very useful in data analysis, mobile application development, and web designing.

Learn at TCCI: Learn the basics of programming or enhance your knowledge in languages like Python, Java, or C++.

Cyber Security Awareness

Now with much online-based reliance, cybersecurity awareness will be very vital. Here, you get to understand password security, phishing scams, and ways to safeguard personal data.

Learn at TCCI: Cyber security is a focused area wherein we ensure the proper skill set for individuals in safety in the cyber world.

Data Management and Analytics

From organizing research to analyzing large datasets, data management skills are the need of the hour. Tools like SQL, Python for data science, and Google Sheets can make handling data seamless.

Learn at TCCI: Our Data Science with Python course will help you harness the power of data.

Digital Communication and Collaboration

Mastering digital communication tools such as Zoom, Microsoft Teams, Slack, and also project management tools like Trello is imperative for group work, remote internships, and even virtual classes.

Learn at TCCI: We will train you on the efficient use of communication tools so that your productivity increases.

At TCCI, we offer comprehensive training programs that equip students with industry-relevant skills. Our expert instructors, flexible timings, and personalized learning approach ensure that every student achieves their goals.

Ready to upgrade your tech skills? Contact TCCI today and start learning!

Call now on +91 9825618292

Get information from https://tccicomputercoaching.wordpress.com/

[korshubudemycoursesblog]

Master Selenium WebDriver Java Basics + Advance Selenium Framework

Automation testing has become an integral part of modern software development. Selenium WebDriver has emerged as a powerful tool in this domain, enabling developers and testers to create robust, scalable, and maintainable test frameworks. If you're curious about Selenium WebDriver Java Basics or want to build advanced skills with an Advance Selenium Framework, you've landed in the right place.

In this guide, we’ll cover everything from setting up Selenium WebDriver with Java to creating frameworks that optimize your testing process. Whether you're a beginner or an experienced tester, this article will help you dive deeper into the possibilities with Selenium.

What is Selenium WebDriver?

Selenium WebDriver is a browser automation tool that allows developers to interact with web elements just like a user would. It’s a core component of Selenium, which also includes Selenium IDE and Selenium Grid.

Using Java for Selenium WebDriver is a popular choice because of its flexibility and widespread adoption. Java’s extensive library support and compatibility with testing tools make it an ideal language for building automation frameworks.

Why Learn Selenium WebDriver with Java?

Before diving into the details, here are some reasons to start learning Selenium WebDriver with Java:

High Demand in the Industry: Selenium with Java is widely used for automation testing roles, making it a valuable skill for IT professionals.

Versatility: Selenium supports multiple browsers like Chrome, Firefox, Safari, and Edge.

Open Source: Selenium is free to use, which is excellent for companies and individual learners.

Extensive Libraries in Java: Java's rich set of libraries simplifies test case development and maintenance.

Getting Started with Selenium WebDriver Java Basics

1. Setting Up Your Environment

To begin, you'll need to set up your environment:

Install Java Development Kit (JDK): Java must be installed on your machine. Download it from Oracle's website and configure the environment variables.

Install an Integrated Development Environment (IDE): Eclipse and IntelliJ IDEA are popular choices for Java development.

Download Selenium WebDriver: Get the Selenium Java bindings from Selenium’s official website.

Install WebDriver for Your Browser: For instance, ChromeDriver for Chrome or GeckoDriver for Firefox.

2. Writing Your First Test Script

Once the setup is ready, let’s create a simple Selenium WebDriver script:

java

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import org.openqa.selenium.WebDriver;

import org.openqa.selenium.chrome.ChromeDriver;

public class FirstTest {

    public static void main(String[] args) {

        // Set the path for the WebDriver executable

        System.setProperty("webdriver.chrome.driver", "path-to-chromedriver");

        // Initialize WebDriver

        WebDriver driver = new ChromeDriver();

        // Navigate to a website

        driver.get("https://www.google.com");

        // Print the title of the page

        System.out.println("Page Title: " + driver.getTitle());

        // Close the browser

        driver.quit();

    }

}

This script launches a browser, opens Google, retrieves the page title, and closes the browser.

Advance Selenium Framework: Taking Your Skills to the Next Level

Once you’re comfortable with the basics, building an Advance Selenium Framework is the next step. A framework is essential for creating reusable and scalable test cases.

1. Types of Selenium Frameworks

There are different types of frameworks you can create:

Data-Driven Framework: Focused on external data sources like Excel sheets or databases.

Keyword-Driven Framework: Uses a set of predefined keywords for test automation.

Hybrid Framework: Combines the best aspects of data-driven and keyword-driven frameworks.

Behavior-Driven Development (BDD): Tools like Cucumber help write human-readable test scripts.

2. Building an Advanced Framework

Here’s how you can build a robust framework:

Organizing Your Project Structure

A well-organized structure might look like this:

markdown

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- src/main/java

    - base

        - BaseClass.java

    - pages

        - LoginPage.java

        - HomePage.java

    - utils

        - ConfigReader.java

        - ExcelReader.java

- src/test/java

    - tests

        - LoginTest.java

    - resources

        - TestData.xlsx

- test-output

Adding a Base Class

A base class initializes the WebDriver and holds common methods.

java

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import org.openqa.selenium.WebDriver;

import org.openqa.selenium.chrome.ChromeDriver;

public class BaseClass {

    public WebDriver driver;

    public void setUp() {

        System.setProperty("webdriver.chrome.driver", "path-to-chromedriver");

        driver = new ChromeDriver();

    }

    public void tearDown() {

        driver.quit();

    }

}

Page Object Model (POM)

The Page Object Model is a design pattern that improves readability and reusability.

Example for a Login Page:

java

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import org.openqa.selenium.By;

import org.openqa.selenium.WebDriver;

public class LoginPage {

    WebDriver driver;

    By username = By.id("username");

    By password = By.id("password");

    By loginButton = By.id("loginBtn");

    public LoginPage(WebDriver driver) {

        this.driver = driver;

    }

    public void login(String user, String pass) {

        driver.findElement(username).sendKeys(user);

        driver.findElement(password).sendKeys(pass);

        driver.findElement(loginButton).click();

    }

}

Best Practices for Using Selenium WebDriver

1. Keep Locators Simple

Use stable locators like IDs and avoid brittle XPath expressions.

2. Use Implicit and Explicit Waits

Improve test stability by handling synchronization issues effectively.

3. Parameterize Your Test Cases

Use tools like Apache POI for externalizing test data.

4. Integrate with CI/CD Tools

Run your tests on tools like Jenkins for continuous integration and delivery.

Why Choose an Online Course for Selenium WebDriver Java Basics + Advance Selenium Framework?

Here are some reasons why online courses are your best option:

Structured Learning Path: Follow a well-designed curriculum to master Selenium systematically.

Expert Guidance: Learn from industry experts who provide insights and real-world scenarios.

Hands-On Projects: Practice your skills with practical assignments and projects.

Flexibility: Learn at your own pace from anywhere.