
Learn best practices for branching database code in Git, covering strategies for different team sizes and release requirements. Explore popular branching models and their strengths, with special focus on database-specific considerations.

Explore hybrid Always On SQL architecture, transitioning from on-premises to Azure Cloud. Learn configuration, troubleshooting, and best practices for global architecture in this eToro case study.

Explore six mindsets for enhancing SQL Server application security, covering encryption, key management, data governance, and more. Gain actionable strategies to improve database development security.

Explore Azure ML's no-code approach to machine learning, from data preparation to model deployment, suitable for both beginners and experienced data scientists.

Prepare for data center disasters and ransomware attacks through regular practice of recovery processes. Learn strategies to ensure business continuity in critical situations.

Explore Charticulator, an open-source tool for creating stunning Power BI custom visuals without coding. Learn to enhance your data visualization capabilities and unlock new possibilities in data presentation.

Explore PowerApps and AI integration for location tracking, using Bing maps, Azure SQL, and Cognitive Services. Learn to create mobile apps with real-time alerts and location-aware web searches.

Learn to deploy Azure data services on-premises, multi-cloud, and edge environments using Azure Arc. Gain cloud benefits, automation, elastic scaling, and unified management across hybrid infrastructures.

Explore hybrid SQL-NoSQL solutions, focusing on integrating MongoDB with SQL Server. Learn scenarios, implementation techniques, and performance considerations for leveraging strengths of both database types.

Explore groundbreaking enhancements in Intelligent Query Processing for SQL Server and Azure SQL Database, improving critical parallel workloads at scale while adapting to evolving data landscapes.

Explore Azure SQL Managed Instance's features, benefits, and migration best practices. Learn about architecture, pricing, and disaster recovery for efficient cloud-based SQL Server workloads.

Explore cutting-edge Azure SQL security innovations, including network security, authentication, data encryption, and management. Gain insights into new customer scenarios and opportunities unlocked by these technologies.

Comprehensive guide to initiating cloud migration, covering key considerations, stakeholder involvement, region selection, timelines, and costs. Equips you with essential knowledge for a successful transition.

Explore SQL Server migration to Azure with near-zero downtime using Microsoft's tools. Learn to assess, plan, and execute migrations efficiently across your data estate.

Learn best practices for gathering project requirements, including scoping, stakeholder communication, documentation, and avoiding common pitfalls. Improve project outcomes and stakeholder satisfaction.

Explore upcoming features in Azure Data Studio and SQL Server tools, including SQL Notebooks. Learn about recent improvements and get a first look at highly requested functionalities to enhance your database management experience.

Explore improvements in Azure Data Factory for simplified data integration and management, including code-free ETL/ELT and comprehensive data overview, empowering enterprises to handle petabytes of data for valuable insights.

Explore SQL Server 2019's enhanced capabilities on Linux and containers, including new features like Replication, DTC, and Polybase, for a robust enterprise database solution across diverse platforms.

Explore new features of SQL Server on Azure VM: enhanced manageability, improved performance, flexible licensing, and integration with unified Azure SQL Service for optimal database management.

Discover strategies for migrating to Power BI Report Server, utilizing ReportServer database metadata to determine which reports and data sources to migrate, and learn PowerShell techniques for efficient extraction and migration.

Comprehensive overview of infrastructure layers for DBAs, covering hardware, network, storage, virtualization, and operating systems to enhance problem-solving and proactive management skills.