Learn essential strategies for managing data loading performance in SQL Server, focusing on techniques such as reducing batch sizes and understanding the impact of transaction sizes. This blog provides practical insights and examples to optimize performance and scalability, particularly in environments utilizing Availability Groups.
SQL Server on Linux: Getting Started with SQL Server 2022 on Red Hat 9
Learn how to install and configure SQL Server 2022 on Red Hat Enterprise Linux (RHEL) 9. This guide provides step-by-step instructions for adding the Microsoft repository, installing SQL Server and its tools, and performing basic configurations to optimize SQL Server for enterprise environments on RHEL 9.
Exploring READ_WRITE_ROUTING_URL in SQL Server AlwaysOn Availability Groups
This blog post explores the READ_WRITE_ROUTING_URL parameter in SQL Server AlwaysOn Availability Groups. It explains how this feature helps optimize read/write traffic and improve performance by routing connections based on their intent (read-write vs. read-only). The post also includes a practical example demonstrating connection routing behavior and concludes with additional considerations for security and monitoring.
Taking Action with SQL Server Triggers: Automating Tasks for Efficiency
This post explores SQL Server triggers, a tool for automating database tasks. Learn how triggers can enforce data integrity, maintain referential integrity, and automate routine operations to enhance efficiency. The post includes practical examples and explains how to implement triggers to improve operational efficiency and compliance in database management. No previous experience with triggers is required to understand their benefits and applications.
Worker Threads in SQL Server Always On Availability Groups
Explore the role of worker threads in SQL Server Always On Availability Groups. This post covers how worker threads function, their management, and the impact on database availability and performance, with practical tips on calculating and monitoring thread usage to optimize your SQL Server configurations.
Automated Database Health Checks: Leveraging SMO in PowerShell
Safeguard your databases with automated PowerShell scripts! This guide walks you through creating scripts to check critical database health metrics like size and free space. Learn how to connect to SQL Server and format results for clarity. The post also explores optional features for enhanced functionality.
The DNN Listener: Guide to Distributed Network Names (DNNs) for SQL Server VMs
This guide explores Distributed Network Names (DNNs) for managing AlwaysOn Availability Groups on Azure SQL Server VMs. It explains how DNNs differ from Virtual Network Names (VNNs), highlights the benefits of DNNs (simplified configuration, enhanced flexibility, improved availability), and provides a step-by-step walkthrough for setting up a DNN listener using PowerShell.
Enterprise SQL Server Security: Best Practices and Strategies to Protect Your Data
Explore essential SQL Server security best practices for large enterprises. This blog covers encryption, access control, infrastructure security, threat detection, and compliance to enhance data protection, ensure regulatory adherence and more. Learn what more you can do to secure your critical production SQL Server environments.
Navigating the Changes in SQL Server 2022: A Guide to Server Alias Configuration
If you’re embarking on a fresh installation of SQL Server 2022, you might be in for a surprise. Gone are the familiar days of the SQL Server Native Client being a core component of SQL Server installations. This blog post will discuss the recent changes in SQL Server 2022 and how to navigate server alias configuration in this new landscape.
Optimizing Large Tables in SQL Server Using Table Partitioning
SQL Server table partitioning is an invaluable feature for improving database performance and management, especially for large-scale databases. This blog post provides an overview of setting up and managing partitioned tables in SQL Server, using TSQL commands. Partitioning helps manage large tables by dividing them into smaller, more manageable segments known as partitions. Each partition can be stored on a separate filegroup, enhancing query performance and simplifying maintenance tasks such as backups and index rebuilds.