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Explore JSON in databases: learn its origins, investigate, manipulate, and validate JSON data using Microsoft SQL Server tools and example code.
Explore deploying SQL Server containers on Azure Kubernetes Service. Learn container creation, SQL Server deployment, and automation techniques for scalable and highly available database management.
Explore Amazon Aurora's innovative architecture for high-throughput cloud databases, focusing on network optimization, fast recovery, and fault tolerance without distributed consensus algorithms.
Practical demonstration on automating CI/CD for C# applications and SQL databases, covering source control, build processes, and deployment strategies for different environments.
Comprehensive guide to successful SQL Server upgrades, covering planning, version selection, migration strategies, and best practices to minimize downtime and user impact.
Meet Microsoft's Data Engineering team, discuss SQL Server, Azure SQL, and data services. Gain insights into product development, engineering processes, and future plans. Engage directly with PMs in this interactive session.
Comprehensive exploration of 13 common query performance issues, providing practical solutions and a checklist for optimizing slow SQL queries.
Learn to evaluate, provision, and optimize Azure SQL Data Warehouse. Covers scalability, cost-effectiveness, data loading, performance improvement, and security best practices for cloud-based data warehousing.
Strategies for effectively explaining technical concepts to non-technical audiences. Interactive session with audience participation to bridge the technological knowledge gap.
Explore Azure Data Studio's features for managing data platforms, including dashboards, snippets, profiling, charting, and more. Learn when to use it over SQL Server Management Studio.
Explore modern data modeling trends for transactional applications, addressing challenges in NoSQL, microservices, and cloud environments. Learn to adapt traditional principles to meet current business demands and facilitate rapid changes.
Discover the power of spatial analysis using SQL Server, R, and Power BI. Learn to analyze location-based data, make informed decisions, and create compelling visualizations for real-world applications.
Learn to boost SQL Server performance by identifying and fixing schema and code design issues, focusing on real-world examples and reproducible workloads to achieve faster query execution and better scalability.
Explore Azure's data movement and transformation options, comparing SSIS with Data Factory, Databricks, and Logic Apps. Learn ETL patterns and Data Flow features for scalable cloud migration.
Explore the power of middle-tier modeling and calculation layers in data analysis, challenging the traditional "storage and charts" approach with case studies and clear explanations of their value.
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