
Explore Azure Data Explorer setup and usage through practical examples in this introductory session on modern analytics and big data engineering.

Compare Azure SQL and Cosmos DB functionalities for legacy app migration or new cloud project database selection. Explore partitioning, data models, indexing, and performance tuning.

Leverage dbachecks to ensure SQL Server security compliance and streamline auditor interactions. Learn efficient methods for proving system requirements.

Discover tips and tricks for optimizing enterprise data models, reducing size, and meeting business needs when DirectQuery is the only option.

Explore dbatools commands for managing SQL Server replication, from setup to teardown. Learn to automate and streamline replication processes efficiently.

Discover how to leverage GitHub Copilot as an AI assistant for efficient SQL coding and database development, enhancing your daily workflow.

Dive deep into Azure SQL Database cost optimization strategies, exploring various dimensions and aspects to maximize efficiency and value.

Explore the evolving database landscape through personal experiences, customer insights, and industry trends, revealing shifts and future directions in database technologies.

Explore the new Direct Lake mode for Power BI in Microsoft Fabric, understanding its functionality and applications in data analysis.

Harness PostgreSQL's extensibility to build AI-enabled apps using pgvector and Azure OpenAI. Gain hands-on experience through live demonstrations and practical insights.

Explore ChatGPT's impact on knowledge consumption, learn about LLM grounding and vector databases, and understand OpenAI's technology for efficient data retrieval and scalability.

Design and build AI applications using vector search with Azure OpenAI and Azure Cosmos DB, enhancing your skills in creating advanced AI solutions.

Optimize PostgreSQL performance in cloud environments through practical techniques for diagnosing and solving common bottlenecks, enhancing database efficiency and health.

Optimize T-SQL queries for better engine performance through strategic rewriting techniques. Learn powerful scenarios to enhance database efficiency.

Modernize your data estate with SQL Server containers in Kubernetes. Learn to build a hybrid data estate for flexible deployment options.

Explore the new Direct Lake mode for Power BI in Microsoft Fabric, understanding its functionality and applications in data analysis.

Explore practical star schema design, from source to model to report. Learn best practices, test methodologies, and assess performance impacts in data modeling.

Learn to set up and utilize Extended Events for SQL Server performance monitoring and troubleshooting.

Explore diverse analytics architectures, their pros and cons, and how Microsoft Fabric supports their implementation for effective data analysis.

Uncover mechanisms of accelerated database recovery for smoother database recovery journeys. Explore techniques to enhance performance and efficiency in SQL Server environments.

Explore Kusto's graph capabilities in Azure Data Explorer, learning to create and query graphs with intuitive syntax for enhanced time series analysis.