
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.

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.

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.

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.

Comprehensive exploration of 13 common query performance issues, providing practical solutions and a checklist for optimizing slow SQL queries.

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.

Practical demonstration on automating CI/CD for C# applications and SQL databases, covering source control, build processes, and deployment strategies for different environments.

Explore Amazon Aurora's innovative architecture for high-throughput cloud databases, focusing on network optimization, fast recovery, and fault tolerance without distributed consensus algorithms.

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 JSON in databases: learn its origins, investigate, manipulate, and validate JSON data using Microsoft SQL Server tools and example code.

Learn to secure and comply with data regulations using SQL Server TDE, encryption, and Azure Key Vault. Covers basics to advanced topics, including AlwaysON and hybrid cloud scenarios.

Explore virtualization's impact on SQL Server performance, covering CPU scheduling, storage, networking, and optimization techniques for maximum efficiency in virtual environments.

Automate ETL processes using BIMLScript and metadata to easily adapt to source file changes, demonstrated with US census data and applicable to SSIS and Azure Data Factory.

Learn techniques to optimize SQL-based analytical queries, restructure jobs, and eliminate performance bottlenecks. Improve efficiency and deliver results faster across various data tools and platforms.

Explore SQL Server encryption options, data privacy laws, and performance impacts. Learn to classify sensitive data, implement Always Encrypted, and audit data usage for enhanced security.

Comparative analysis of SSIS and Azure Data Factory, exploring strengths, weaknesses, and real-world applications for data movement and transformation in SQL Server environments.

Learn techniques to optimize queries on Azure SQL Database, improving performance and potentially reducing costs by lowering resource demands and compute size requirements.

Learn strategies to protect SQL Server instances from Azure outages. Explore HA/DR solutions, Azure Site Recovery, Availability Zones, and Fault Domains to ensure business continuity during cloud service disruptions.

Learn to categorize workloads, evaluate SLAs, and choose optimal data locations between cloud, datacenter, or hybrid solutions. Includes cost estimation and SLA validation techniques.

Comprehensive Python data modeling tutorial covering extraction, cleaning, transformation, visualization, predictive modeling, validation, and deployment using popular libraries and Azure integration.

Learn to automate SQL Server database deployments using Azure Pipelines and Visual Studio Database Projects. Covers creating projects, manual deployments, and setting up automated pipelines with secure credential management.