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  • Microsoft Azure Hybrid Benefits for SQL Server by sarahjohns388
    sarahjohns388
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    The Microsoft Azure Hybrid Benefit for Windows Server (formerly Windows Server Azure Hybrid Use Benefit) has been around for some time now. It was announced in late 2017 that this benefit would be extended to SQL Server - and we now have details! <b>What does it do?</b> The <a href="https://mindmajix.com/microsoft-azure-training">Microsoft Azure Hybrid Benefit</a> for SQL Server allows appropriately licensed organizations to offset some of their Azure SQL costs using on-premises licenses. You won't be charged for the use of the included Azure Data Services, but you will still need to pay for other associated costs such as compute, storage, backup and input/output (I/O). <b>Use rights</b> Licenses assigned to Azure services cannot also be used elsewhere - apart from a one-time, 180-day (max.) exception to allow the migration of services to Azure. Running a passive fail-over instance within Azure is permitted for licenses assigned under this benefit, up to the same number of licenses as the live instance.
  • SQL Monitoring and database backup free tool by chandansqlexpert
    chandansqlexpert
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    SQL Server Monitoring - 60+ Analytic Reports SQL Server Job Monitoring SQL Server Health Analytics SQL Server Back up & Auto-Restore Automation SQL Server Scripting Automation SQL Server Index Defrag tool
  • Table Size Measurement in SQL Server with sp_MSforeachtable by SQLYoga by sqlyoga
    sqlyoga
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    Unlock the secrets of SQL Server table size measurement using sp_MSforeachtable with our comprehensive guide by SQLYoga. Learn efficient techniques to analyze and manage table sizes effectively for optimal database performance.
  • Create a Comma Separated List with SELECT in SQL Server by SQLYoga Guide by sqlyoga
    sqlyoga
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    Learn how to efficiently generate comma-separated lists using the SELECT statement in SQL Server with our comprehensive guide from SQLYoga. Master the art of data manipulation and streamline your SQL queries effortlessly.
  • Adding Computed Columns in SQL Server | SQLYoga by sqlyoga
    sqlyoga
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    Enhance your SQL SERVER skills by discovering how to generate a comma separated list with SELECT statement in this SQLYoga article.
  • Test the latest features with SQL Server 2017 Developer Edition by narayana2
    narayana2
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    Are you curious how new capabilities in SQL Server will impact your applications? Download and test SQL Server 2017 Developer Edition, a full-featured free edition, licensed for use as a development and test database in a non-production environment. You can browse and access SQL Server training code samples at GitHub, and when you're ready, check out your options to move to production. With SQL Server 2017, you can build modern applications using the language of your choice, on-premises or in the cloud, on Windows, Linux, and Docker containers. Your mission-critical programs will benefit from industry-leading scalability, performance, and availability. And SQL Server 2017 is the only commercial database with AI built-in, enabling you to build intelligent applications using scalable and highly parallelized R and Python. Read the datasheet and white paper for more details. If you're a Linux developer, SQL Server 2017 brings the database you want to the platform you love-and don't just take our word for it. Browse technical FAQs from your peers in our quick start guide. SQL Server 2017 Developer Edition does not include a licensed OS, such as a license for Windows 10 included on a new laptop. 90 to 180 day free trials of Windows and Windows Server are available on the TechNet Evaluation Center. If you are intersting to learn SQL server training go through enrolling by database administrator course Want to stay ahead of the game? Find out about the SQL Server 2019 Community Technology Preview (CTP) in our free on-demand webinar and sign up for the Early Adoption Program. SQL Server 2019 makes it easier to manage a big data environment and provides key elements of a data lake-Hadoop Distributed File System (HDFS), Apache SparkTM, and analytics tools-deeply integrated with SQL Server and fully supported by Microsoft. Easily deploy using Linux containers on a Kubernetes-managed cluster. Read the white paper to learn more.
  • Mastering the REPLICATE() Function in SQL Server by SQLYoga by sqlyoga
    sqlyoga
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    Unlock the power of SQL Server's REPLICATE() function with SQLYoga's comprehensive guide. Learn to manipulate strings effortlessly, duplicate characters, and optimize your database queries like a pro. Master REPLICATE() and streamline your SQL operations today!
  • Common SQL Server Mistakes and How to Avoid Them - NareshIT by tejaswaninit
    tejaswaninit
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    SQL Server is a powerful RDBMS, but even experienced developers can fall into traps that hurt performance, security, and scalability. Here are 10 common mistakes and how to avoid them: 1. Missing Indexes: Running queries on large tables without proper indexing slows performance. Use execution plans in SSMS to spot missing indexes and add non-clustered indexes on frequently queried columns. **2. Using SELECT *** Fetching all columns increases network load. Always select only the required columns. 3. Not Using Parameterized Queries: Embedding user input in SQL can lead to SQL injection. Use parameterized queries or stored procedures. Eg:BEGIN TRY ... END TRY BEGIN CATCH ... END CATCH 6. Ignoring Transaction Management: Leaving transactions open locks resources. Keep transactions short and always close with COMMIT or ROLLBACK. 7. Skipping Regular Backups: Disasters happen. Schedule full, diff, and log backups, and test them regularly. 8. Hard-Coding Credentials: Storing plain-text credentials is risky. Use environment variables or secure vaults like Azure Key Vault. 9. Ignoring Statistics: Outdated stats degrade performance. Enable auto-updates and run UPDATE STATISTICS routinely. 10. No Server Monitoring: Don't wait for users to complain. Monitor CPU, memory, slow queries, and deadlocks using SQL Profiler or third-party tools. Conclusion: Avoiding these mistakes can greatly improve performance, security, and maintainability. Clean code begins with clean queries.