#Query Performance

[thedbahub]

Optimizing SQL Server Index Size: When to Start Adding Indexes

Introduction Hey there, fellow SQL Server enthusiast! Have you ever found yourself wondering, “When should I start adding indexes to my tables?” Well, you’re not alone. As someone who’s spent countless hours optimizing databases, I’ve learned that the answer isn’t always straightforward. But fear not! In this article, we’ll dive into the fascinating world of SQL Server index size and explore…

[codesolutionstuff]

Understanding MySQL Composite Index with Practical Examples

New Post has been published on https://www.codesolutionstuff.com/mysql-composite-index-practical-examples/

Understanding MySQL Composite Index with Practical Examples

MySQL is one of the most popular open-source relational database management systems available. It is widely used in web development, data analysis, and other industries where large amounts of data need to be managed efficiently. One of the features that make MySQL efficient in handling large

[bookwyrminspiration]

Fintan used to have massive badonkadonks, but he got top surgery and had them grafted onto his rear end to make up for his formerly flat ass

fascinating contribution to this discussion. what I'm hearing is that Fintan's got nipples on his "ass."

[chrollogy]

Omg Yue do you also play Wuthering Waves and Honkai Star Rail?

marena hello !!! i play star rail BUT i kinda had to quit bc i suck at building my characters lmaoooo (i figured i could only put effort into one game which is genshin 🥲) as for wuwa!!! i have not actually played it :3 i’ve been meaning to give it a try though!!

[ereborne]

Song of the Day: May 10

"The Ghosts of Beverly Drive” by Death Cab for Cutie

[abowlofpetuniasandawhale]

i was about to make a post like “do you ever get 95% of the way through a project and then stop because the last 5% seems unbearable?” but then i remembered that’s literally just the first question on the ADHD screening so

[porto-rosso]

🔥 + stephcass

I don’t actually think it’d be good if they became canon right now. Both characters still have so much to recover from new 52-wise and making them lgbt could honestly maybe really fuck up the relatively good traction there’s been the last year or two for them (kind of. Cass is being featured in more stuff and spirit world has been excellent so far! tho unfortunately Steph still has a ways to go).

[kids-worldfun]

The Role of Onsite Search Analytics in Enhancing eCommerce Performance

After setting up your eCommerce store, you engaged the best search engine optimization (SEO) agency you could find. The specialist audited your company’s website and recommended the most effective SEO strategies to improve its online visibility and minimize expenses on other digital marketing methods.  Now, it sounds like the perfect time to relax and wait for your recently launched eCommerce…

[robomad]

Mastering Advanced Querying with Django ORM: A Comprehensive Guide

Advanced Querying with Django ORM: Techniques for Efficient Database Access

Introduction:The Django ORM (Object-Relational Mapping) is one of the most powerful features of the Django web framework. It allows developers to interact with databases using Python code instead of writing raw SQL queries. While basic querying with Django ORM is straightforward, mastering advanced querying techniques can significantly optimize your application’s performance and add powerful…

[thedbahub]

Is It Worth Updating Stats More Frequently?

Learn when it makes sense to update statistics more often than the default for busy tables in SQL Server to improve query performance.

Introduction Hey there! If you manage busy SQL Server databases, you’ve probably wondered at some point – is it worth tinkering with the statistics auto-update settings for those really high activity tables? Will sampling the data more frequently actually lead to better query plans and performance? As someone who’s experimented with this myself, I’m happy to share my experiences and insights. By…

[codesolutionstuff]

Improving Query Performance with MySQL Descending Indexes

New Post has been published on https://www.codesolutionstuff.com/mysql-descending-index-practical-guide/

Improving Query Performance with MySQL Descending Indexes

MySQL is a popular open-source relational database management system that is widely used in web applications. It offers many features and optimizations to help developers build scalable and performant applications. One such optimization is the use of indexes, which can significantly speed up

[bookwyrminspiration]

You disgust me with your performative vampirism, yes reclaiming labels is important, but not without addressing the history behind them reclaiming does not mean falling into the category of predators without examining whether or not society has put you in that box

oh my GOD do you even hear yourself? i feel bad for anyone who has to spend any time around you and have their ears melted off by the bile you spew

do you even realize how insulting it is to vampires that you assume they haven't done that work and already examined themselves before deciding they personally wanted to reclaim the term predator? do you think the vampirism community is so incapable and pathetic they need you to hold their hand through it all?

the vampire community is perfectly capable of sustaining and educating and examining itself. vampires can consult others to learn about their history and their social construction and their deviance and the movements throughout history they've been a part of. they are examining their labels before reclaiming them, and older vampires are passing on that knowledge to the newly turned. how dare you imply they're doing it wrong or unthinkingly when that's such a significant part of their community

people just love to hear themselves speak i guess, unbelievable.

[changes]

New: Search operators for better searching!

We hear you, and we share your frustrations: it’s hard to find a specific post. You know it has a particular tag or phrase, and it was posted on this date, or at least, within a specific year. But you can't find it!

So, today, we’re excited to announce that you can use ✨ advanced search operators ✨ in the search bar now! You can now say potato from:staff year:2021 to easily enjoy that video of a potato being microwaved again.

Before we jump into the details, a couple of caveats to note:

These search operators are only available in the main Tumblr search bar. They don’t work in the search bar in individual blogs.

The search operators only work on posts created in 2017 or later.

OK! Let’s go explore these operators!

Exact phrase match

When you surround your query with regular double quotes (not curly quotes), it will match posts with that exact phrase in the post's text content, or that exact phrase as a tag.

For example, "chappell roan is roan of arc" matches posts with that exact phrase in the content, and also matches posts that have the exact tag #chappell roan is roan of arc.

Match operator

By default, the query matches the post on either the text or the tags.

You can use match:text to specify you want to search the post content, or match:tags to search the post tags. For example:

sword world match:text looks for posts with the words "sword" and "world" in the post content.

sword world match:tags looks for posts with the words "sword" and "world" in the post tags.

From operator

Use from:blog or from:@​blog to find only posts by a particular blog.

For example, halloween from:staff finds all posts by @staff that has the word "halloween" in the post content or tags.

Year operator

Use year:YYYY to find posts from a particular year.

For example, halloween year:2019 finds all posts from 2019 that has the word "halloween" in the post content or tags.

Date operator

Use date:YYYY-MM-DD to find posts from a particular date.

For example, halloween date:2019-10-08 finds all posts created on October 8, 2019 that has the word "halloween" in the post content or tags.

All together

You can combine all the tools above to form even more specific queries:

Congrats! You’re now a Tumblr search wizard! 🪄

Other syntax

As a reminder, you can already search by a tag, or by multiple tags:

Prefixing your query with # performs a tag search — that is, it will find posts with that exact tag. For example, #star wars will only return posts with the #star wars tag.

You can search for multiple tags at at time. For example, #star wars #art will find posts that are tagged with both the tag #star wars and the tag #art.

You can combine this with the new operators to find what you are looking for!

A guide on how to use the new operators has also been added to our Search and Filtering Basics Guide.

Tumblr Patio support

The enhanced syntax makes Tumblr Patio even more powerful. You can now open multiple search columns each with different fine-tuned queries that use the syntax above to get you customized feeds.

Feedback

We’d love to hear what you think! Please share your feedback in the replies and reblogs of this post, or by reaching out to Tumblr Support.

[acubeai]

Creating an Effective Power BI Dashboard: A Comprehensive Guide

Introduction to Power BI Power BI is a suite of business analytics tools that allows you to connect to multiple data sources, transform data into actionable insights, and share those insights across your organization. With Power BI, you can create interactive dashboards and reports that provide a 360-degree view of your business.

Step-by-Step Guide to Creating a Power BI Dashboard

1. Data Import and Transformation The first step in creating a Power BI dashboard is importing your data. Power BI supports various data sources, including Excel, SQL Server, Azure, and more.

Steps to Import Data:

Open Power BI Desktop.

Click on Get Data in the Home ribbon.

Select your data source (e.g., Excel, SQL Server, etc.).

Load the data into Power BI.

Once the data is loaded, you may need to transform it to suit your reporting needs. Power BI provides Power Query Editor for data transformation.

Data Transformation:

Open Power Query Editor.

Apply necessary transformations such as filtering rows, adding columns, merging tables, etc.

Close and apply the changes.

2. Designing the Dashboard After preparing your data, the next step is to design your dashboard. Start by adding a new report and selecting the type of visualization you want to use.

Types of Visualizations:

Charts: Bar, Line, Pie, Area, etc.

Tables and Matrices: For detailed data representation.

Maps: Geographic data visualization.

Cards and Gauges: For key metrics and KPIs.

Slicers: For interactive data filtering.

Adding Visualizations:

Drag and drop fields from the Fields pane to the canvas.

Choose the appropriate visualization type from the Visualizations pane.

Customize the visual by adjusting properties such as colors, labels, and titles.

3. Enhancing the Dashboard with Interactivity Interactivity is one of the key features of Power BI dashboards. You can add slicers, drill-throughs, and bookmarks to make your dashboard more interactive and user-friendly.

Using Slicers:

Add a slicer visual to the canvas.

Drag a field to the slicer to allow users to filter data dynamically.

Drill-throughs:

Enable drill-through on visuals to allow users to navigate to detailed reports.

Set up drill-through pages by defining the fields that will trigger the drill-through.

Bookmarks:

Create bookmarks to capture the state of a report page.

Use bookmarks to toggle between different views of the data.

Different Styles of Power BI Dashboards Power BI dashboards can be styled to meet various business needs. Here are a few examples:

1. Executive Dashboard An executive dashboard provides a high-level overview of key business metrics. It typically includes:

KPI visuals for critical metrics.

Line charts for trend analysis.

Bar charts for categorical comparison.

Maps for geographic insights.

Example:

KPI cards for revenue, profit margin, and customer satisfaction.

A line chart showing monthly sales trends.

A bar chart comparing sales by region.

A map highlighting sales distribution across different states.

2. Sales Performance Dashboard A sales performance dashboard focuses on sales data, providing insights into sales trends, product performance, and sales team effectiveness.

Example:

A funnel chart showing the sales pipeline stages.

A bar chart displaying sales by product category.

A scatter plot highlighting the performance of sales representatives.

A table showing detailed sales transactions.

3. Financial Dashboard A financial dashboard offers a comprehensive view of the financial health of an organization. It includes:

Financial KPIs such as revenue, expenses, and profit.

Financial statements like income statement and balance sheet.

Trend charts for revenue and expenses.

Pie charts for expense distribution.

Example:

KPI cards for net income, operating expenses, and gross margin.

A line chart showing monthly revenue and expense trends.

A pie chart illustrating the breakdown of expenses.

A matrix displaying the income statement.

Best Practices for Designing Power BI Dashboards To ensure your Power BI dashboard is effective and user-friendly, follow these best practices:

Keep it Simple:

Avoid cluttering the dashboard with too many visuals.

Focus on the most important metrics and insights.

2. Use Consistent Design:

Maintain a consistent color scheme and font style.

Align visuals properly for a clean layout.

3. Ensure Data Accuracy:

Validate your data to ensure accuracy.

Regularly update the data to reflect the latest information.

4. Enhance Interactivity:

Use slicers and drill-throughs to provide a dynamic user experience.

Add tooltips to provide additional context.

5. Optimize Performance:

Use aggregations and data reduction techniques to improve performance.

Avoid using too many complex calculations.

Conclusion Creating a Power BI dashboard involves importing and transforming data, designing interactive visuals, and applying best practices to ensure clarity and effectiveness. By following the steps outlined in this guide, you can build dashboards that provide valuable insights and support data-driven decision-making in your organization. Power BI’s flexibility and range of visualizations make it an essential tool for any business looking to leverage its data effectively.

[ppcadstargeted]

Thinking Of Excluding Branded Queries from Your Performance Max Campaign

It can be challenging for advertisers to decide whether to exclude branded questions from Performance Max campaigns. While branded searches can bring in high-quality visitors to your website, eliminating them can help you save money and concentrate on luring in new clients. Making the best choice for your organization requires carefully weighing the advantages and disadvantages of including or removing branded queries. Here, we will discuss when brand exclusions are appropriate and when they aren't.

🙂 When Brand Exclusions Make Sense?

In some circumstances, it may make sense to leave branded queries out of your Performance Max campaigns. The following are some scenarios where brand exclusions are justified:

👉 High brand search volume: Including branded searches can squander money if your brand is well-known and has a high search traffic.

👉 Launching a new product: Excluding branded questions can help you reach a wider audience and build brand recognition for new products when you're launching a new product or service.

👉 Budget constraints: By excluding branded queries, you can save money and direct resources toward non-branded search phrases that may result in the acquisition of new customers.

👉 Testing ad text: By excluding branded search phrases, you may assess how well your ad copy performs for generic search terms.

It may be wise to exclude branded enquiries in order to save money and concentrate on luring in new clients. You can use it to test the efficacy of ad text and gauge demand for new products.

🙄 When Brand Exclusions Don’t Make Sense?

It might not always be the best for your company to exclude branded queries from Performance Max campaigns. Brand exclusions are unnecessary in the following circumstances:

👉 Your brand is not well-known: By omitting branded searches, you may be able to narrow your audience and prospective traffic if your brand is not yet well-known or has a low search volume.

👉 Your branded search phrases have a high conversion rate. If this is the case, removing these terms could have a detrimental effect on the effectiveness and profitability of your campaign.

👉 You have a low volume of non-branded searches: If the volume of non-branded searches is minimal, eliminating branded queries may narrow the scope of your campaign and produce a low level of traffic.

👉 Increasing brand recognition is your main objective: If this is the case, omitting branded queries may impede your efforts and reduce your exposure to potential clients.

Excluding branded questions can reduce your audience, have a negative effect on the effectiveness of your campaign, and impede your efforts to build brand recognition.

🏁 Conclusion

Finally, removing branded queries from Performance Max campaigns can be a calculated move that both saves money and draws in new clients. Before making a decision, it's crucial to balance the advantages and disadvantages of excluding branded queries and take into account the particular requirements and objectives of your company.