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Learn to build and leverage data lakes in Azure using Databricks and Synapse Analytics. Explore key services, implementation strategies, and querying techniques for modern data environments.
Learn to create custom Power BI visuals using Charticulator without coding. Explore the tool's environment, chart creation process, and importing custom visuals into Power BI desktop.
Explore the challenges and best practices for migrating SQL Server to public clouds like Azure, AWS, and GCP. Learn from real-world experiences to ensure a successful transition from on-premises to cloud environments.
Explore upcoming SQL Server tools and user experiences, featuring demos on Jupyter notebooks and SQL database projects, presented by the SQL Server product team.
Explore deploying SQL Server on Linux in Azure, covering high availability, AD authentication, and performance optimization for production environments.
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 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.
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 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.
Explore advanced SQL Server memory usage troubleshooting through real-world cases, addressing complex issues and providing solutions for optimizing database performance.
Learn techniques for creating accessible presentations that maximize learning for audiences with diverse abilities, enhancing content delivery and impact for all viewers.
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.
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.
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 advanced statistics techniques to optimize query performance, including filtered statistics, computed columns, sample size adjustments, and solutions for stale statistics and correlated columns.
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