#sql server monitoring

[thedbahub]

Effective Strategies for Auditing Inserts, Updates, and Deletes in SQL Server Without Traditional Auditing Features

In the dynamic world of database management, ensuring the integrity and tracking of data changes is paramount. Interestingly, SQL Server professionals often seek methods to audit insert, update, and delete (IUD) transactions without relying on built-in audit features. This article explores practical T-SQL code examples and applications to achieve this, providing a robust alternative for database…

[eitanblumin]

Upcoming Webinars About SQL Server Monitoring

Learn about the benefits of #SQLServer #database #monitoring with our new webinars in partnership with @SolarWinds. Join us for technical showcases and more. #Microsoft #DBA #SqlDBA #SolarWinds #SQLSentry #Webinar #MadeiraData

Thanks to our productive partnership with SolarWinds as part of our Managed Remote DBA Service, we’ve set up two new webinars in our Data Platform Meetup: More Than Downtime: Elevating Your Business with Database MonitoringTUE, JAN 16, 2024, 11:00 AM IST Target audience: C-level executives (including CTOs and CIOs) wanting to learn about the benefits of SQL Server database monitoring, and…

[nwspl]

Best Cloud Server Management Services in Dwarka Delhi By NWSPL

Cloud Server Management refers to the process of overseeing and controlling the various aspects of servers hosted in a cloud computing environment. In a cloud setup, servers are virtualized instances that run on physical hardware maintained by a cloud service provider. Effective management of these cloud servers is essential to ensure optimal performance, reliability, security, and cost efficiency. Here are key components and activities associated with cloud server management:

Provisioning and Deployment:

Description: Cloud server management involves the creation, configuration, and deployment of virtual servers as needed. This includes selecting the appropriate server specifications, operating system, and other settings based on the requirements of the applications or workloads.

2. Resource Scaling:

Description: Cloud environments allow for dynamic scaling of resources. Cloud server management includes the ability to scale server resources up or down based on changing demand. This ensures that the infrastructure can adapt to varying workloads efficiently.

3. Monitoring and Performance Optimization:

Description: Continuous monitoring of server performance metrics is a crucial aspect of cloud server management. Administrators use monitoring tools to track factors such as CPU usage, memory utilization, and network performance. Optimization strategies are then employed to enhance overall efficiency.

4. Security and Access Control:

Description: Ensuring the security of cloud servers is paramount. Cloud server management involves implementing security measures such as firewalls, encryption, and access controls. Administrators define user roles and permissions to restrict access to sensitive data and configurations.

5. Backup and Disaster Recovery:

Description: Cloud service management panel includes the implementation of backup strategies to safeguard data. Administrators set up regular backup schedules and develop disaster recovery plans to mitigate the impact of unforeseen events or data loss.

6. Patch Management and Updates:

Description: Keeping servers up-to-date with the latest patches and updates is critical for security and performance. Cloud server management services in dwarka delhi involves the systematic application of software updates to address vulnerabilities and improve functionality.

7. Cost Management:

Description: Cloud resources come with associated costs. Effective cloud server management includes monitoring resource usage and implementing cost-saving measures. This may involve rightsizing servers, optimizing configurations, and leveraging reserved instances.

8. Automation:

Description: Automation is a key element of cloud server management. Tasks such as provisioning, scaling, and configuration changes can be automated to streamline operations, reduce manual errors, and enhance overall efficiency.

9. Compliance and Auditing:

Description: Cloud server management includes ensuring compliance with industry regulations and organizational policies. Regular audits are conducted to assess and verify that servers adhere to security and compliance standards.

10. Troubleshooting and Support:

Description: In the event of issues or failures, cloud server management involves troubleshooting and providing support to ensure quick resolution. This includes identifying root causes, implementing fixes, and communicating with stakeholders.

In summary, cloud server management is a comprehensive set of activities aimed at maintaining the health, security, and efficiency of servers hosted in a cloud environment. It requires a combination of technical expertise, automation, and strategic planning to effectively leverage the benefits of cloud computing while meeting the specific needs of the organization.

Why Choose NWSPL for Cloud Server Management in Dwarka:

Expertise: Our team comprises seasoned professionals well-versed in the intricacies of cloud server management, offering unparalleled expertise to meet the diverse needs of our clients.

Comprehensive Solutions: From provisioning and scaling to security and compliance, NWSPL provides end-to-end cloud server management solutions, tailored to your specific business requirements.

Innovation: We stay at the forefront of technological advancements, incorporating the latest tools and best practices to keep your cloud infrastructure at the pinnacle of efficiency.

Reliability: Count on NWSPL for reliable, 24/7 monitoring, ensuring that your cloud servers consistently deliver peak performance and are ready to adapt to changing demands.

Cost Optimization: Our strategic approach to cloud server management includes cost-saving measures, ensuring that you get the most value from your cloud investments without compromising on performance.

Client-Centric Approach: At NWSPL, client satisfaction is paramount. We work closely with our clients, understanding their unique needs and delivering solutions that align with their business objectives.

Cloud Server Management Services:

NWSPL excels in providing best cloud server management services. Whether you are a startup or an established enterprise, our team of experts ensures the seamless operation of your cloud infrastructure. From deployment to maintenance, we handle it all, allowing you to focus on your core business activities.

Managed Cloud Hosting:

Our managed cloud hosting services offer a secure and scalable hosting solution tailored to meet your specific business needs. With NWSPL as your hosting partner, you can enjoy the benefits of high-performance hosting, automatic backups, and 24/7 support, ensuring your website or application runs smoothly without any downtime.

Server Monitoring for Peak Performance:

At NWSPL, we understand the critical importance of server monitoring cloud. Our proactive monitoring services ensure that potential issues are identified and resolved before they impact your operations. This proactive approach to server management guarantees optimal performance and minimizes downtime.

Software as a Service (SaaS):

In the era of cloud computing, NWSPL provides innovative SaaS solutions to streamline your business processes. From collaboration tools to customer relationship management (CRM) systems, our SaaS offerings are designed to enhance efficiency and productivity.

In conclusion, NWSPL in Dwarka, Delhi, stands as a comprehensive solution provider for your digital needs. By combining social media amplification, SEO strategies, and top-tier cloud server management services, we empower your brand to thrive in the dynamic and competitive online landscape. Partner with NWSPL to unlock the full potential of your digital presence and propel your business to new heights.

[error4343]

Ok I've had a very random train of thoughts and now wanna compile it into post.

Some MM characters computer-related (???) headcanons lol

Riley:

Has above average knowledge of Excel/Google sheets due to studying finance, but after four years with no practise forgot most of it.

The "Sooon, I have a problem" person in their family. Actually, surprisingly good and patient at explaining computer stuff to older people.

Has a higher responsibility of doing taxes (finance, after all). Even he never fails to do them right, Ed always double checks. Sometimes they get into argument, where inevitably Riley proves he is right but his father would never admit it.

Warren, Leeza, Ooker and other teens:

Also nothing outstanding in terms of skills, except few of them have interest in IT.

They have bunch of small local Discord servers and one big main server with some very stupid name.

Few times Bev tried to bring up importance of parental control over this "new and rapidly growing young community", but thanks God no one took her concerns seriously

Leeza moderates it and her moder role called "Mayor-mini". Like father like daughter.

All teens local jokes and memes were bourn/spread though that server.

Bev:

Rumors says she sacrificed her humanity to obtain such powers with Microsoft software package.

Can build up Access database from scratch, using basic SQL commands, assemble primitive, but surprisingly sufficient interface to it and synchronize it with Excel in span of one day or less.

In her laptop there're every pupil's personal file, countless Excel tables, several automatised document accounts, Google calendar with precisely planned schedule for next several months (for school, church, island and personal matters) and probably Pentagon files.

Probably can find all Pi numbers with Excel formulas.

Never lets anyone to her laptop.

Spends her free time at different forums, mostly gardening-related.

Wade:

Made a very fucking poor decision to let Bev do all the legwork with digital document accounting.

Now has no idea how some of things even work, so just goes with a flow and does what Bev tells.

No wander she got away with embezzlement.

Knows about kid's server. Very proud of Leeza for managing it :)

Because of that, he knows one or two memes from there, but keeps them in secret.

Has hobby of fixing office equipment. Does it with Sturge in spare time due to Dupuytren's contracture not letting him operate his hand fully.

Sarah:

There's no good medical technicians on island, so when something goes wrong with equipment electronics - tries to fix it herself to best of her ability.

Always monitors electronic e-shops for spare details or equipment. Grows more and more addicted to it.

Frequently updates her selection of sites with useful medical information, because Erin asked her for help guiding teens though puberty. For that receives glances from Bev, but doesn't give a shit.

Has reputation of cool aunt among kids, so she was one and only adult invited to main Discord server. Didn't accept it (doesn't even have Discord acc), but still grateful for trust.

Plays solitaire a lot.

John:

Back when he was playing Paul, Bev asked him to do something with Excel. In conclusion, poor bastard had to learn basic computer skills and Excel in span of several days. Now he is traumatized for rest of his life.

Will do all the work manually just to not touch laptop again.

Upsets very easly when does something wrong.

Doesn't own laptop. Don't give that man laptop, he will cry.

By his own will uses it only to watch baseball. Always asks someone to help with that.

[universeinthestars]

SeekL x Killer Chat - The Beginning

Lyra sits at her PC. Looking at her monitor. She's just finished learning ArnoldC. Her recent obsession with all of Arnold Schwarzenegger's movies led her to learn of the existence of ArnoldC.

Coding was but another way to write. It could be artistic; it was unique.

They look at their previous works with other coding languages. Brainfuck and JSFuck, both were very interesting. Especially having JSFuck running on actual web pages. Another favorite, similar to ArnoldC, Shakespeare. A language that looks similar to Shakespearen. The language she learnt right before ArnoldC.

She whistles and looked through the internet to see if there was anything that could expand her esoteric coding languages.

They squint at the name of one, SeekL? An interesting name without a description. With a shrug they start to comb through the internet. Nothing was showing up as a learning tool for the coding language. However, there were a few articles about how it was used by some hackers.

She hums to herself and double checks her shields and makes sure her data is locked up tight. Then she hops onto the dark web to see if there was anything.

"Oh, well that's interesting," she said looking at the page that came with more information, but just barely.

*SeekL is similar to SQL. If you wish to learn, click here*

'Should I click to learn it?' The idea bounced around their brain, but she found no reason to reject it. So she clicked it.

She was automatically joined into a group chat. There she learnt basic SeekL and some SQL. She made friends with the others in the chat and helped them with their last hacks. They got to be part of a group for a few days, chat with Odxny on video calls each day, and become Thrim. They learnt how much coding could be used to for a vendetta and how easily some people crumble to a ransom.

It was interesting and she wanted to continue in this new world.

Then came the final day for the server to shut down. Her hands trembled as she typed in the phone number for Odxny, hoping she didn't mess anything up. She only had one shot.

exec dial(555-448-4746)

It rang once.

Twice.

Thri-

"Hey"

Relief flooded her.

[uegub]

Why Tableau is Essential in Data Science: Transforming Raw Data into Insights

Data science is all about turning raw data into valuable insights. But numbers and statistics alone don’t tell the full story—they need to be visualized to make sense. That’s where Tableau comes in.

Tableau is a powerful tool that helps data scientists, analysts, and businesses see and understand data better. It simplifies complex datasets, making them interactive and easy to interpret. But with so many tools available, why is Tableau a must-have for data science? Let’s explore.

1. The Importance of Data Visualization in Data Science

Imagine you’re working with millions of data points from customer purchases, social media interactions, or financial transactions. Analyzing raw numbers manually would be overwhelming.

That’s why visualization is crucial in data science:

Identifies trends and patterns – Instead of sifting through spreadsheets, you can quickly spot trends in a visual format.

Makes complex data understandable – Graphs, heatmaps, and dashboards simplify the interpretation of large datasets.

Enhances decision-making – Stakeholders can easily grasp insights and make data-driven decisions faster.

Saves time and effort – Instead of writing lengthy reports, an interactive dashboard tells the story in seconds.

Without tools like Tableau, data science would be limited to experts who can code and run statistical models. With Tableau, insights become accessible to everyone—from data scientists to business executives.

2. Why Tableau Stands Out in Data Science

A. User-Friendly and Requires No Coding

One of the biggest advantages of Tableau is its drag-and-drop interface. Unlike Python or R, which require programming skills, Tableau allows users to create visualizations without writing a single line of code.

Even if you’re a beginner, you can:

✅ Upload data from multiple sources

✅ Create interactive dashboards in minutes

✅ Share insights with teams easily

This no-code approach makes Tableau ideal for both technical and non-technical professionals in data science.

B. Handles Large Datasets Efficiently

Data scientists often work with massive datasets—whether it’s financial transactions, customer behavior, or healthcare records. Traditional tools like Excel struggle with large volumes of data.

Tableau, on the other hand:

Can process millions of rows without slowing down

Optimizes performance using advanced data engine technology

Supports real-time data streaming for up-to-date analysis

This makes it a go-to tool for businesses that need fast, data-driven insights.

C. Connects with Multiple Data Sources

A major challenge in data science is bringing together data from different platforms. Tableau seamlessly integrates with a variety of sources, including:

Databases: MySQL, PostgreSQL, Microsoft SQL Server

Cloud platforms: AWS, Google BigQuery, Snowflake

Spreadsheets and APIs: Excel, Google Sheets, web-based data sources

This flexibility allows data scientists to combine datasets from multiple sources without needing complex SQL queries or scripts.

D. Real-Time Data Analysis

Industries like finance, healthcare, and e-commerce rely on real-time data to make quick decisions. Tableau’s live data connection allows users to:

Track stock market trends as they happen

Monitor website traffic and customer interactions in real time

Detect fraudulent transactions instantly

Instead of waiting for reports to be generated manually, Tableau delivers insights as events unfold.

E. Advanced Analytics Without Complexity

While Tableau is known for its visualizations, it also supports advanced analytics. You can:

Forecast trends based on historical data

Perform clustering and segmentation to identify patterns

Integrate with Python and R for machine learning and predictive modeling

This means data scientists can combine deep analytics with intuitive visualization, making Tableau a versatile tool.

3. How Tableau Helps Data Scientists in Real Life

Tableau has been adopted by the majority of industries to make data science more impactful and accessible. This is applied in the following real-life scenarios:

A. Analytics for Health Care

Tableau is deployed by hospitals and research institutions for the following purposes:

Monitor patient recovery rates and predict outbreaks of diseases

Analyze hospital occupancy and resource allocation

Identify trends in patient demographics and treatment results

B. Finance and Banking

Banks and investment firms rely on Tableau for the following purposes:

✅ Detect fraud by analyzing transaction patterns

✅ Track stock market fluctuations and make informed investment decisions

✅ Assess credit risk and loan performance

C. Marketing and Customer Insights

Companies use Tableau to:

✅ Track customer buying behavior and personalize recommendations

✅ Analyze social media engagement and campaign effectiveness

✅ Optimize ad spend by identifying high-performing channels

D. Retail and Supply Chain Management

Retailers leverage Tableau to:

✅ Forecast product demand and adjust inventory levels

✅ Identify regional sales trends and adjust marketing strategies

✅ Optimize supply chain logistics and reduce delivery delays

These applications show why Tableau is a must-have for data-driven decision-making.

4. Tableau vs. Other Data Visualization Tools

There are many visualization tools available, but Tableau consistently ranks as one of the best. Here’s why:

Tableau vs. Excel – Excel struggles with big data and lacks interactivity; Tableau handles large datasets effortlessly.

Tableau vs. Power BI – Power BI is great for Microsoft users, but Tableau offers more flexibility across different data sources.

Tableau vs. Python (Matplotlib, Seaborn) – Python libraries require coding skills, while Tableau simplifies visualization for all users.

This makes Tableau the go-to tool for both beginners and experienced professionals in data science.

5. Conclusion

Tableau has become an essential tool in data science because it simplifies data visualization, handles large datasets, and integrates seamlessly with various data sources. It enables professionals to analyze, interpret, and present data interactively, making insights accessible to everyone—from data scientists to business leaders.

If you’re looking to build a strong foundation in data science, learning Tableau is a smart career move. Many data science courses now include Tableau as a key skill, as companies increasingly demand professionals who can transform raw data into meaningful insights.

In a world where data is the driving force behind decision-making, Tableau ensures that the insights you uncover are not just accurate—but also clear, impactful, and easy to act upon.

[teqful]

How-To IT

Topic: Core areas of IT

1. Hardware

• Computers (Desktops, Laptops, Workstations)

• Servers and Data Centers

• Networking Devices (Routers, Switches, Modems)

• Storage Devices (HDDs, SSDs, NAS)

• Peripheral Devices (Printers, Scanners, Monitors)

2. Software

• Operating Systems (Windows, Linux, macOS)

• Application Software (Office Suites, ERP, CRM)

• Development Software (IDEs, Code Libraries, APIs)

• Middleware (Integration Tools)

• Security Software (Antivirus, Firewalls, SIEM)

3. Networking and Telecommunications

• LAN/WAN Infrastructure

• Wireless Networking (Wi-Fi, 5G)

• VPNs (Virtual Private Networks)

• Communication Systems (VoIP, Email Servers)

• Internet Services

4. Data Management

• Databases (SQL, NoSQL)

• Data Warehousing

• Big Data Technologies (Hadoop, Spark)

• Backup and Recovery Systems

• Data Integration Tools

5. Cybersecurity

• Network Security

• Endpoint Protection

• Identity and Access Management (IAM)

• Threat Detection and Incident Response

• Encryption and Data Privacy

6. Software Development

• Front-End Development (UI/UX Design)

• Back-End Development

• DevOps and CI/CD Pipelines

• Mobile App Development

• Cloud-Native Development

7. Cloud Computing

• Infrastructure as a Service (IaaS)

• Platform as a Service (PaaS)

• Software as a Service (SaaS)

• Serverless Computing

• Cloud Storage and Management

8. IT Support and Services

• Help Desk Support

• IT Service Management (ITSM)

• System Administration

• Hardware and Software Troubleshooting

• End-User Training

9. Artificial Intelligence and Machine Learning

• AI Algorithms and Frameworks

• Natural Language Processing (NLP)

• Computer Vision

• Robotics

• Predictive Analytics

10. Business Intelligence and Analytics

• Reporting Tools (Tableau, Power BI)

• Data Visualization

• Business Analytics Platforms

• Predictive Modeling

11. Internet of Things (IoT)

• IoT Devices and Sensors

• IoT Platforms

• Edge Computing

• Smart Systems (Homes, Cities, Vehicles)

12. Enterprise Systems

• Enterprise Resource Planning (ERP)

• Customer Relationship Management (CRM)

• Human Resource Management Systems (HRMS)

• Supply Chain Management Systems

13. IT Governance and Compliance

• ITIL (Information Technology Infrastructure Library)

• COBIT (Control Objectives for Information Technologies)

• ISO/IEC Standards

• Regulatory Compliance (GDPR, HIPAA, SOX)

14. Emerging Technologies

• Blockchain

• Quantum Computing

• Augmented Reality (AR) and Virtual Reality (VR)

• 3D Printing

• Digital Twins

15. IT Project Management

• Agile, Scrum, and Kanban

• Waterfall Methodology

• Resource Allocation

• Risk Management

16. IT Infrastructure

• Data Centers

• Virtualization (VMware, Hyper-V)

• Disaster Recovery Planning

• Load Balancing

17. IT Education and Certifications

• Vendor Certifications (Microsoft, Cisco, AWS)

• Training and Development Programs

• Online Learning Platforms

18. IT Operations and Monitoring

• Performance Monitoring (APM, Network Monitoring)

• IT Asset Management

• Event and Incident Management

19. Software Testing

• Manual Testing: Human testers evaluate software by executing test cases without using automation tools.

• Automated Testing: Use of testing tools (e.g., Selenium, JUnit) to run automated scripts and check software behavior.

• Functional Testing: Validating that the software performs its intended functions.

• Non-Functional Testing: Assessing non-functional aspects such as performance, usability, and security.

• Unit Testing: Testing individual components or units of code for correctness.

• Integration Testing: Ensuring that different modules or systems work together as expected.

• System Testing: Verifying the complete software system’s behavior against requirements.

• Acceptance Testing: Conducting tests to confirm that the software meets business requirements (including UAT - User Acceptance Testing).

• Regression Testing: Ensuring that new changes or features do not negatively affect existing functionalities.

• Performance Testing: Testing software performance under various conditions (load, stress, scalability).

• Security Testing: Identifying vulnerabilities and assessing the software’s ability to protect data.

• Compatibility Testing: Ensuring the software works on different operating systems, browsers, or devices.

• Continuous Testing: Integrating testing into the development lifecycle to provide quick feedback and minimize bugs.

• Test Automation Frameworks: Tools and structures used to automate testing processes (e.g., TestNG, Appium).

19. VoIP (Voice over IP)

VoIP Protocols & Standards

• SIP (Session Initiation Protocol)

• H.323

• RTP (Real-Time Transport Protocol)

• MGCP (Media Gateway Control Protocol)

VoIP Hardware

• IP Phones (Desk Phones, Mobile Clients)

• VoIP Gateways

• Analog Telephone Adapters (ATAs)

• VoIP Servers

• Network Switches/ Routers for VoIP

VoIP Software

• Softphones (e.g., Zoiper, X-Lite)

• PBX (Private Branch Exchange) Systems

• VoIP Management Software

• Call Center Solutions (e.g., Asterisk, 3CX)

VoIP Network Infrastructure

• Quality of Service (QoS) Configuration

• VPNs (Virtual Private Networks) for VoIP

• VoIP Traffic Shaping & Bandwidth Management

• Firewall and Security Configurations for VoIP

• Network Monitoring & Optimization Tools

VoIP Security

• Encryption (SRTP, TLS)

• Authentication and Authorization

• Firewall & Intrusion Detection Systems

• VoIP Fraud DetectionVoIP Providers

• Hosted VoIP Services (e.g., RingCentral, Vonage)

• SIP Trunking Providers

• PBX Hosting & Managed Services

VoIP Quality and Testing

• Call Quality Monitoring

• Latency, Jitter, and Packet Loss Testing

• VoIP Performance Metrics and Reporting Tools

• User Acceptance Testing (UAT) for VoIP Systems

Integration with Other Systems

• CRM Integration (e.g., Salesforce with VoIP)

• Unified Communications (UC) Solutions

• Contact Center Integration

• Email, Chat, and Video Communication Integration

[lunarsilkscreen]

Government OS Whitepaper

I didn't know what else to call it; maybe they'll call it "MelinWare" and then somebody will invent a scam under that name for which I will inevitably be blamed.

We have a demand for systems Government and Corporate alike that are essentially "Hack Proof". And while we cannot ensure complete unhackability...

Cuz people are smart and mischievous sometimes;

There is growing need to be as hack safe as possible at a hardware and OS level. Which would create a third computer tech sector for specialized software and hardware.

The problem is; it's not profitable from an everyday user perspective. We want to be able to use *our* devices in ways that *we* see fit.

And this has created an environment where virtually everyone is using the same three operating systems with loads of security overhead installed to simply monitor what is happening on a device.

Which is kind of wasted power and effort.

My line of thinking goes like this;

SQL databases are vulnerable to a type of hack called "SQL Injection" which basically means If you pass on any text to the server (like username and password) you can add SQL to the text to change what the database might do.

What this looks like on the backend is several algorithms working to filter the strings out to ensure nothing bad gets in there.

So what we need are Systems that are like an SQL database that doesn't have that "Injection" flaw.

And it needs to be available to the Government and Corporate environments.

However; in real-world environments; this looks like throttled bandwidth, less resources available at any one time, and a lot less freedom.

Which is what we want for our secure connections anyway.

I have the inkling suspicion that tech companies will try to convert this to a front end for their customers as well, because it's easier to maintain one code backend than it is for two.

And they want as much control over their devices and environment as possible;which is fine for some users, but not others.

So we need to figure out a way to make this a valuable endeavor. And give companies the freedom to understand how these systems work, and in ways that the government can use their own systems against them.

This would probably look like more users going to customized Linux solutions as Windows and Apple try to gobbleup government contracts.

Which honestly; I think a lot of users and start-up businesses could come up from this.

But it also has the ability to go awry in a miriad of ways.

However; I do believe I have planted a good seed with this post to inspire the kind of thinking we need to develop these systems.

[madesimplemssql]

A powerful feature of SQL Server is the Activity Monitor (AM), which allows us to monitor the performance and activities of an SQL Instance. Let's Explore Deeply:

https://madesimplemssql.com/explore-activity-monitor-in-sql-server/

Follow us on FB: https://www.facebook.com/profile.php?id=100091338502392

&

Join our Group: https://www.facebook.com/groups/652527240081844

[thedbahub]

Identifying Applications Writing to a Table in SQL Server: Strategies and Tools

Determining which applications are writing to a given table in SQL Server can be approached in several ways, depending on your access level, the tools you have at your disposal, and whether you need to monitor this activity in real-time or over a period. Here are some methods to consider: 1. SQL Server Profiler / Extended Events SQL Server Profiler and Extended Events are tools for monitoring…

[sqlinjection]

How to test app for the SQL injection

During code review

Check for any queries to the database are not done via prepared statements.

If dynamic statements are being made please check if the data is sanitized before used as part of the statement.

Auditors should always look for uses of sp_execute, execute or exec within SQL Server stored procedures. Similar audit guidelines are necessary for similar functions for other vendors.

Automated Exploitation

Most of the situation and techniques on testing an app for SQLi can be performed in a automated way using some tools (e.g. perform an automated auditing using SQLMap)

Equally Static Code Analysis Data flow rules can detect of unsanitised user controlled input can change the SQL query.

Stored Procedure Injection

When using dynamic SQL within a stored procedure, the application must properly sanitise the user input to eliminate the risk of code injection. If not sanitised, the user could enter malicious SQL that will be executed within the stored procedure.

Time delay Exploitation technique

The time delay exploitation technique is very useful when the tester find a Blind SQL Injection situation, in which nothing is known on the outcome of an operation. This technique consists in sending an injected query and in case the conditional is true, the tester can monitor the time taken to for the server to respond. If there is a delay, the tester can assume the result of the conditional query is true. This exploitation technique can be different from DBMS to DBMS.

http://www.example.com/product.php?id=10 AND IF(version() like '5%', sleep(10), 'false'))--

In this example the tester is checking whether the MySql version is 5.x or not, making the server delay the answer by 10 seconds. The tester can increase the delay time and monitor the responses. The tester also doesn't need to wait for the response. Sometimes they can set a very high value (e.g. 100) and cancel the request after some seconds.

Out-of-band Exploitation technique

This technique is very useful when the tester find a Blind SQL Injection situation, in which nothing is known on the outcome of an operation. The technique consists of the use of DBMS functions to perform an out of band connection and deliver the results of the injected query as part of the request to the tester's server. Like the error based techniques, each DBMS has its own functions. Check for specific DBMS section.

[elsa16744]

Power of Data Visualization: A Deep Dive into Microsoft Power BI Services 

In today’s data-driven world, the ability to transform raw data into actionable insights is a crucial asset for businesses. As organizations accumulate vast amounts of data from various sources, the challenge lies not just in storing and managing this data but in making sense of it. This is where Microsoft Power BI Services comes into play—a powerful tool designed to bring data to life through intuitive and dynamic visualizations. 

What is Microsoft Power BI? 

Microsoft Power BI is a suite of business analytics tools that enables organizations to analyze data and share insights. It provides interactive visualizations and business intelligence capabilities with a simple interface, making it accessible to both technical and non-technical users. Whether you are analyzing sales performance, tracking customer behavior, or monitoring operational efficiency, Power BI empowers you to create dashboards and reports that highlight the key metrics driving your business. 

Key Features of Microsoft Power BI Services 

User-Friendly Interface: One of the standout features of Power BI is its user-friendly interface. Even those with minimal technical expertise can quickly learn to create reports and dashboards. The drag-and-drop functionality allows users to effortlessly build visualizations, while pre-built templates and AI-powered insights help accelerate the decision-making process. 

Data Connectivity: Power BI supports a wide range of data sources, including Excel, SQL Server, cloud-based data warehouses, and even social media platforms. This extensive connectivity ensures that users can pull in data from various systems and consolidate it into a single, coherent view. The ability to connect to both on-premises and cloud-based data sources provides flexibility and scalability as your data needs evolve. 

Real-Time Analytics: In today’s fast-paced business environment, real-time data is critical. Power BI’s real-time analytics capabilities allow users to monitor data as it’s collected, providing up-to-the-minute insights. Whether tracking website traffic, monitoring social media engagement, or analyzing sales figures, Power BI ensures that you are always equipped with the latest information. 

Custom Visualizations: While Power BI comes with a robust library of standard visualizations, it also supports custom visuals. Organizations can create unique visualizations that cater to specific business needs, ensuring that the data is presented in the most effective way possible. These custom visuals can be developed in-house or sourced from the Power BI community, offering endless possibilities for data representation. 

Collaboration and Sharing: Collaboration is key to making data-driven decisions. Power BI makes it easy to share insights with colleagues, whether through interactive reports or shared dashboards. Reports can be published to the Power BI service, embedded in websites, or shared via email, ensuring that stakeholders have access to the information they need, when they need it. 

Integration with Microsoft Ecosystem: As part of the Microsoft ecosystem, Power BI seamlessly integrates with other Microsoft products like Excel, Azure, and SharePoint. This integration enhances productivity by allowing users to leverage familiar tools and workflows. For example, users can import Excel data directly into Power BI, or embed Power BI reports in SharePoint for easy access. 

The Benefits of Microsoft Power BI Services for Businesses 

The adoption of Microsoft Power BI Services offers numerous benefits for businesses looking to harness the power of their data: 

Enhanced Decision-Making: By providing real-time, data-driven insights, Power BI enables businesses to make informed decisions faster. The ability to visualize data through dashboards and reports ensures that critical information is easily accessible, allowing decision-makers to respond to trends and challenges with agility. 

Cost-Effective Solution: Power BI offers a cost-effective solution for businesses of all sizes. With a range of pricing options, including a free version, Power BI is accessible to small businesses and large enterprises alike. The cloud-based service model also reduces the need for expensive hardware and IT infrastructure, making it a scalable option as your business grows. 

Improved Data Governance: Data governance is a growing concern for many organizations. Power BI helps address this by providing centralized control over data access and usage. Administrators can set permissions and define data access policies, ensuring that sensitive information is protected and that users only have access to the data they need. 

Scalability and Flexibility: As businesses grow and their data needs evolve, Power BI scales effortlessly to accommodate new data sources, users, and reporting requirements. Whether expanding to new markets, launching new products, or adapting to regulatory changes, Power BI provides the flexibility to adapt and thrive in a dynamic business environment. 

Streamlined Reporting: Traditional reporting processes can be time-consuming and prone to errors. Power BI automates many of these processes, reducing the time spent on report creation and ensuring accuracy. With Power BI, reports are not only generated faster but are also more insightful, helping businesses to stay ahead of the competition. 

Empowering Non-Technical Users: One of Power BI’s greatest strengths is its accessibility. Non-technical users can easily create and share reports without relying on IT departments. This democratization of data empowers teams across the organization to take ownership of their data and contribute to data-driven decision-making. 

Use Cases of Microsoft Power BI Services 

Power BI’s versatility makes it suitable for a wide range of industries and use cases: 

Retail: Retailers use Power BI to analyze sales data, track inventory levels, and understand customer behavior. Real-time dashboards help retail managers make quick decisions on pricing, promotions, and stock replenishment. 

Finance: Financial institutions rely on Power BI to monitor key performance indicators (KPIs), analyze risk, and ensure compliance with regulatory requirements. Power BI’s robust data security features make it an ideal choice for handling sensitive financial data. 

Healthcare: In healthcare, Power BI is used to track patient outcomes, monitor resource utilization, and analyze population health trends. The ability to visualize complex data sets helps healthcare providers deliver better care and improve operational efficiency. 

Manufacturing: Manufacturers leverage Power BI to monitor production processes, optimize supply chains, and manage quality control. Real-time analytics enable manufacturers to identify bottlenecks and make data-driven adjustments on the fly. 

Conclusion 

In an era where data is a key driver of business success, Microsoft Power BI Services offers a powerful, flexible, and cost-effective solution for transforming raw data into actionable insights. Its user-friendly interface, extensive data connectivity, and real-time analytics capabilities make it an invaluable tool for organizations across industries. By adopting Power BI, businesses can unlock the full potential of their data, making informed decisions that drive growth, efficiency, and innovation. 

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Azure Data Engineering Tools For Data Engineers

Azure is a cloud computing platform provided by Microsoft, which presents an extensive array of data engineering tools. These tools serve to assist data engineers in constructing and upholding data systems that possess the qualities of scalability, reliability, and security. Moreover, Azure data engineering tools facilitate the creation and management of data systems that cater to the unique requirements of an organization.

In this article, we will explore nine key Azure data engineering tools that should be in every data engineer’s toolkit. Whether you’re a beginner in data engineering or aiming to enhance your skills, these Azure tools are crucial for your career development.

Microsoft Azure Databricks

Azure Databricks is a managed version of Databricks, a popular data analytics and machine learning platform. It offers one-click installation, faster workflows, and collaborative workspaces for data scientists and engineers. Azure Databricks seamlessly integrates with Azure’s computation and storage resources, making it an excellent choice for collaborative data projects.

Microsoft Azure Data Factory

Microsoft Azure Data Factory (ADF) is a fully-managed, serverless data integration tool designed to handle data at scale. It enables data engineers to acquire, analyze, and process large volumes of data efficiently. ADF supports various use cases, including data engineering, operational data integration, analytics, and data warehousing.

Microsoft Azure Stream Analytics

Azure Stream Analytics is a real-time, complex event-processing engine designed to analyze and process large volumes of fast-streaming data from various sources. It is a critical tool for data engineers dealing with real-time data analysis and processing.

Microsoft Azure Data Lake Storage

Azure Data Lake Storage provides a scalable and secure data lake solution for data scientists, developers, and analysts. It allows organizations to store data of any type and size while supporting low-latency workloads. Data engineers can take advantage of this infrastructure to build and maintain data pipelines. Azure Data Lake Storage also offers enterprise-grade security features for data collaboration.

Microsoft Azure Synapse Analytics

Azure Synapse Analytics is an integrated platform solution that combines data warehousing, data connectors, ETL pipelines, analytics tools, big data scalability, and visualization capabilities. Data engineers can efficiently process data for warehousing and analytics using Synapse Pipelines’ ETL and data integration capabilities.

Microsoft Azure Cosmos DB

Azure Cosmos DB is a fully managed and server-less distributed database service that supports multiple data models, including PostgreSQL, MongoDB, and Apache Cassandra. It offers automatic and immediate scalability, single-digit millisecond reads and writes, and high availability for NoSQL data. Azure Cosmos DB is a versatile tool for data engineers looking to develop high-performance applications.

Microsoft Azure SQL Database

Azure SQL Database is a fully managed and continually updated relational database service in the cloud. It offers native support for services like Azure Functions and Azure App Service, simplifying application development. Data engineers can use Azure SQL Database to handle real-time data ingestion tasks efficiently.

Microsoft Azure MariaDB

Azure Database for MariaDB provides seamless integration with Azure Web Apps and supports popular open-source frameworks and languages like WordPress and Drupal. It offers built-in monitoring, security, automatic backups, and patching at no additional cost.

Microsoft Azure PostgreSQL Database

Azure PostgreSQL Database is a fully managed open-source database service designed to emphasize application innovation rather than database management. It supports various open-source frameworks and languages and offers superior security, performance optimization through AI, and high uptime guarantees.

Whether you’re a novice data engineer or an experienced professional, mastering these Azure data engineering tools is essential for advancing your career in the data-driven world. As technology evolves and data continues to grow, data engineers with expertise in Azure tools are in high demand. Start your journey to becoming a proficient data engineer with these powerful Azure tools and resources.

Unlock the full potential of your data engineering career with Datavalley. As you start your journey to becoming a skilled data engineer, it’s essential to equip yourself with the right tools and knowledge. The Azure data engineering tools we’ve explored in this article are your gateway to effectively managing and using data for impactful insights and decision-making.

To take your data engineering skills to the next level and gain practical, hands-on experience with these tools, we invite you to join the courses at Datavalley. Our comprehensive data engineering courses are designed to provide you with the expertise you need to excel in the dynamic field of data engineering. Whether you’re just starting or looking to advance your career, Datavalley’s courses offer a structured learning path and real-world projects that will set you on the path to success.

Course format:

Subject: Data Engineering Classes: 200 hours of live classes Lectures: 199 lectures Projects: Collaborative projects and mini projects for each module Level: All levels Scholarship: Up to 70% scholarship on this course Interactive activities: labs, quizzes, scenario walk-throughs Placement Assistance: Resume preparation, soft skills training, interview preparation

Subject: DevOps Classes: 180+ hours of live classes Lectures: 300 lectures Projects: Collaborative projects and mini projects for each module Level: All levels Scholarship: Up to 67% scholarship on this course Interactive activities: labs, quizzes, scenario walk-throughs Placement Assistance: Resume preparation, soft skills training, interview preparation

For more details on the Data Engineering courses, visit Datavalley’s official website.

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SQL Server Management Studio Cloud Effective database management is essential for businesses in today's data-driven world. Enter SQL Server Management Studio (SSMS), a powerful tool that becomes even more convenient and flexible when hosted in the cloud. This innovation is a game-changer, and NWSPL is at the forefront, offering you seamless access to SQL Server Management Studio in the cloud. Visit us to know more : https://nwspl.in/cloud-server-management/

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Demystifying Microsoft Azure Cloud Hosting and PaaS Services: A Comprehensive Guide

In the rapidly evolving landscape of cloud computing, Microsoft Azure has emerged as a powerful player, offering a wide range of services to help businesses build, deploy, and manage applications and infrastructure. One of the standout features of Azure is its Cloud Hosting and Platform-as-a-Service (PaaS) offerings, which enable organizations to harness the benefits of the cloud while minimizing the complexities of infrastructure management. In this comprehensive guide, we'll dive deep into Microsoft Azure Cloud Hosting and PaaS Services, demystifying their features, benefits, and use cases.

Understanding Microsoft Azure Cloud Hosting

Cloud hosting, as the name suggests, involves hosting applications and services on virtual servers that are accessed over the internet. Microsoft Azure provides a robust cloud hosting environment, allowing businesses to scale up or down as needed, pay for only the resources they consume, and reduce the burden of maintaining physical hardware. Here are some key components of Azure Cloud Hosting:

Virtual Machines (VMs): Azure offers a variety of pre-configured virtual machine sizes that cater to different workloads. These VMs can run Windows or Linux operating systems and can be easily scaled to meet changing demands.

Azure App Service: This PaaS offering allows developers to build, deploy, and manage web applications without dealing with the underlying infrastructure. It supports various programming languages and frameworks, making it suitable for a wide range of applications.

Azure Kubernetes Service (AKS): For containerized applications, AKS provides a managed Kubernetes service. Kubernetes simplifies the deployment and management of containerized applications, and AKS further streamlines this process.

Exploring Azure Platform-as-a-Service (PaaS) Services

Platform-as-a-Service (PaaS) takes cloud hosting a step further by abstracting away even more of the infrastructure management, allowing developers to focus primarily on building and deploying applications. Azure offers an array of PaaS services that cater to different needs:

Azure SQL Database: This fully managed relational database service eliminates the need for database administration tasks such as patching and backups. It offers high availability, security, and scalability for your data.

Azure Cosmos DB: For globally distributed, highly responsive applications, Azure Cosmos DB is a NoSQL database service that guarantees low-latency access and automatic scaling.

Azure Functions: A serverless compute service, Azure Functions allows you to run code in response to events without provisioning or managing servers. It's ideal for event-driven architectures.

Azure Logic Apps: This service enables you to automate workflows and integrate various applications and services without writing extensive code. It's great for orchestrating complex business processes.

Benefits of Azure Cloud Hosting and PaaS Services

Scalability: Azure's elasticity allows you to scale resources up or down based on demand. This ensures optimal performance and cost efficiency.

Cost Management: With pay-as-you-go pricing, you only pay for the resources you use. Azure also provides cost management tools to monitor and optimize spending.

High Availability: Azure's data centers are distributed globally, providing redundancy and ensuring high availability for your applications.

Security and Compliance: Azure offers robust security features and compliance certifications, helping you meet industry standards and regulations.

Developer Productivity: PaaS services like Azure App Service and Azure Functions streamline development by handling infrastructure tasks, allowing developers to focus on writing code.

Use Cases for Azure Cloud Hosting and PaaS

Web Applications: Azure App Service is ideal for hosting web applications, enabling easy deployment and scaling without managing the underlying servers.

Microservices: Azure Kubernetes Service supports the deployment and orchestration of microservices, making it suitable for complex applications with multiple components.

Data-Driven Applications: Azure's PaaS offerings like Azure SQL Database and Azure Cosmos DB are well-suited for applications that rely heavily on data storage and processing.

Serverless Architecture: Azure Functions and Logic Apps are perfect for building serverless applications that respond to events in real-time.

In conclusion, Microsoft Azure's Cloud Hosting and PaaS Services provide businesses with the tools they need to harness the power of the cloud while minimizing the complexities of infrastructure management. With scalability, cost-efficiency, and a wide array of services, Azure empowers developers and organizations to innovate and deliver impactful applications. Whether you're hosting a web application, managing data, or adopting a serverless approach, Azure has the tools to support your journey into the cloud.

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The 2 types of databases for your business

Do you need to provide you and your team with a full-featured free value-added application builder to digitize the workflow? Collaborate with unlimited users and creators at zero upfront cost. Get an online database free now, and we will provide your business with all the basic tools to design, develop, and deploy simple database-driven applications and services right out of the box.

Here is the definition of a database according to the dictionary:

Structured set of files regrouping information having certain characters in common; software allowing to constitute and manage these files.

The data contained in most common databases is usually modeled in rows and columns in a series of tables to make data processing efficient.

Thus, the data can be easily accessed, managed, modified, updated, monitored and organized. Most databases use a structured query language (SQL) to write and query data

Compared to traditional coding, oceanbase's free online database platform allows you to create database-driven applications in a very short period of time. Build searchable databases, interactive reports, dynamic charts, responsive Web forms, and so on-all without writing any code. Just point, click, and publish. It's that simple!

Traditional software development requires skilled IT personnel, lengthy requirements gathering, and manual coding. Databases and applications built with code are also difficult to learn, deploy, and maintain, making them time, cost, and resource intensive.

On the other hand, codeless database manufacturers enable business professionals to participate in rapid iterative development, even if they have no technical experience.

With oceanbase's simple database builder, you can use off-the-shelf application templates and click and drag and drop tools to build powerful cloud applications and databases 20 times faster than traditional software development.

Oceanbase provides the best free database with an intuitive code-free platform for building data-driven applications that are easy to modify and extend. Get results faster without writing code or managing the server.

The 2 types of databases for your business There are 2 different ones. Here they are:

Databases for functional data This kind of databases have for objective to store data to make a process work. For example the MySQL database for a website.

In a next part, we will advise you the best tools for your business.

Customer databases The purpose of these databases is to store the data of your prospects/customers. For example, a contact may leave you their email address, phone number, or name.

This type of database is highly sought after by businesses because it serves several purposes:

Store contacts. Assign a tag or a list per contact. Perform remarketing or retargeting.