
Explore SQL Server 2019's Accelerated Database Recovery feature, its mechanics, benefits, and implementation in on-premises and Azure environments for rapid recovery and instant transaction rollback.

Explore practical strategies for implementing database DevOps, addressing challenges in data management, and optimizing deployment processes for both on-premises and cloud-based environments.

Transition SQL Server skills to CosmosDB: Learn NoSQL concepts, JSON, multi-models, and key differences in monitoring and data structure. Prepare for a new approach to database management and optimization.

Automate Excel tasks using PowerShell and Jupyter Notebooks. Learn to create self-service solutions for users to generate custom Excel workbooks efficiently and effectively.

Discover efficient SQL Server query tuning techniques using Quest Foglight and SQL Optimizer. Learn to identify bottlenecks, analyze execution plans, and optimize database performance systematically.

Explore SQL Server Query Optimizer's execution plans, learn to read and fine-tune them for better performance, and master troubleshooting techniques to enhance database efficiency.

Learn to build native ADF pipelines, lift and shift SSIS to Azure, and use design patterns for execution and monitoring in this comprehensive overview of Azure Data Factory's cloud data engineering capabilities.

Explore Azure SQL Managed Instance's latest enhancements for modernizing SQL applications, including improved migration, security, and manageability features for optimal cloud transformation.

Learn essential soft skills for effective feedback and communication as a manager. Discover best practices for coaching conversations, handling tough dialogues, and addressing performance issues tactfully.

Learn to implement DevOps practices for database deployments, covering source control, automated testing, and continuous integration/delivery through live demonstrations and practical insights.

Explore advanced statistics techniques to optimize query performance, including filtered statistics, computed columns, sample size adjustments, and solutions for stale statistics and correlated columns.

Learn optimized T-SQL coding techniques for SQL Server, including Sarg-ability, performance improvement, SQL injection prevention, parameterization, and dynamic SQL best practices through real-world examples.

Explore SQL Server's evolution from Docker support to Big Data Clusters, covering containerization, Kubernetes deployment, and integration with Python for modernized database management and analytics.

Accelerate machine learning pipelines using SQL Server on Red Hat Enterprise Linux and OpenShift. Learn in-database ML techniques and containerization for efficient model production and deployment.

Learn techniques for creating accessible presentations that maximize learning for audiences with diverse abilities, enhancing content delivery and impact for all viewers.

Explore advanced SQL Server memory usage troubleshooting through real-world cases, addressing complex issues and providing solutions for optimizing database performance.

Explore Polybase, Microsoft's linked server replacement, for connecting to diverse data sources. Learn setup best practices, scale-out groups, AlwaysOn integration, and performance optimization techniques.

Learn strategies for migrating Oracle databases to Azure, including architecture design, deployment automation, and success factors for moving to IaaS while leveraging both Oracle and Azure products.

Explore Microsoft Power BI's latest features and future roadmap for driving data-driven decision-making across organizations, presented by BI leadership at PASS Data Community Summit.

Explore Azure SQL's capabilities for building high-performance, scalable REST APIs with JSON support, CI/CD integration, and robust security features for modern agile development.

Explore deploying SQL Server on Linux in Azure, covering high availability, AD authentication, and performance optimization for production environments.