
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 strategies for transitioning from technical expert to effective team leader. Develop a personal action plan, discover suitable roles, and prepare for a successful leap into management while avoiding common pitfalls.

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.

Discover lesser-known features and improvements in SQL Server 2019 beyond the main highlights, exploring hidden capabilities that can enhance database management and performance.

Explore Azure Hyperscale: a cloud-native, scalable database solution offering SQL Server features for innovation and future-proofing. Learn deployment patterns, best practices, and its underlying architecture.

Explore Azure AI platform's tools, infrastructure, and services for integrating AI into existing applications. Learn skills needed to become an AI developer and create intelligent solutions.

Explore Azure ML products, their differences, and use cases. Learn to create end-to-end ML workflows, integrate with SQL Server, and manage models in production using various Azure tools.

Optimize database performance by understanding ORM frameworks, LINQ, and application impact. Learn to improve queries, enhance developer collaboration, and boost your value as a data professional.

Explore Azure Data Studio's features, benefits, and comparison to SQL Server Management Studio. Learn about its cross-platform capabilities, monitoring tools, and use cases.

Explore comprehensive data quality solutions using Microsoft's Data Platform, including Machine Learning, Azure Data Factory, and SQL Server 2019, to address and resolve data quality challenges.

Learn essential architecture design principles for Power BI solutions, covering sharing, security, connections, and components like dataflow. Gain insights into key considerations and blueprint designs for effective implementation.

Explore ethical challenges in data-driven technologies, focusing on privacy, security, and compliance. Learn tools and strategies to mitigate risks and maintain integrity in the evolving landscape of AI and big data.

Explore SQL Server vulnerabilities and attack strategies from an adversary's perspective, learning detection, prevention, and response techniques for enhanced database security.

Explore recent enhancements to Columnstore Indexes in SQL Server 2017-2019, focusing on performance improvements for Data Warehouses and BI solutions. Learn about new features and fixes for high-scale environments.

Aprenda a depurar consultas LINQ de Entity Framework investigando SQL Server. Técnicas para otimizar el rendimiento mediante configuración, perfilado y planes de ejecución.