
Explore strategies for becoming an influential technical leader, including effective communication, balancing priorities, guiding team development, and maintaining technical expertise while influencing organizational decisions.

Learn strategies to effectively manage upwards, improve team dynamics, and gain your boss's support using the S.I.T. Framework, enhancing overall team performance and job satisfaction.

Explore data virtualization using SQL Server 2019 Big Data Cluster. Learn to access and analyze external data sources, implement data ingestion, and gain insights from a real project's lessons learned.

Discover resources, best practices, and solutions for migrating big data to Azure. Learn about ADLS Gen2, Azure SQL Data Warehouse, and data movement tools for successful petabyte-scale transfers.

Explore strategies to protect Azure data from regional outages, covering SQL Databases, VMs, and Managed Instances. Learn to meet recovery objectives and safeguard your cloud-based applications.

Comprehensive exploration of Kubernetes architecture, components, and advanced concepts for deploying and managing applications and data platforms in production environments.

Explore evolving analytics trends, skills, and technologies for business analysts. Learn to work with data science, improve data literacy, and embrace ambiguity in modern business intelligence.

Learn effective communication techniques for managers to provide constructive feedback, handle tough conversations, and improve team performance through practical examples and best practices.

Optimize Azure SQL Database performance using Automatic Tuning, Intelligent Insights, and Extended Events. Learn to leverage these features for time and cost savings while maximizing database efficiency.

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.

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.

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.

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.

Strategies for effectively explaining technical concepts to non-technical audiences. Interactive session with audience participation to bridge the technological knowledge gap.

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.

Comprehensive guide to successful SQL Server upgrades, covering planning, version selection, migration strategies, and best practices to minimize downtime and user impact.

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