
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.

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.

Discover Snowflake's cloud data warehouse: simplified management, scalable performance, and cost-effectiveness. Learn about its multi-cluster architecture, resource separation, and easy implementation for efficient data handling.

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 how Microsoft Flow, PowerApps, and Power BI can revolutionize your business operations, enhance efficiency, and drive innovation through the Power Platform's integrated capabilities.

Transforming database and BI deployments from months to minutes through Agile methodologies and Continuous Delivery, overcoming organizational barriers for faster innovation and happier teams.

Learn to quickly set up and manage SQL Server containers using PowerShell and Docker. Discover how containers support development and testing environments with rapid deployment and easy management.

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

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

Learn to confidently evaluate and communicate about new technologies in your workplace, enhancing your reputation and leadership skills while staying relevant in a rapidly evolving tech landscape.

Explore techniques for effective customer communication in tech, including stakeholder identification, requirements gathering, and managing expectations to enhance project success and career growth.

Explore enterprise-grade BI with Power BI, focusing on EIM, scale, and performance. Learn about data lineage, impact analysis, semantic models, and data protection for optimized large-scale analytics solutions.

Discover game-changing Excel tools for data-driven decisions. Learn multi-source import, rapid data shaping, portable formulas, and insightful reporting techniques to supercharge your spreadsheet skills.

Explore agile data warehouse modeling techniques beyond traditional norms. Learn to build flexible, auditable solutions adaptable to various industries, leveraging MDM and Azure for enhanced performance and data integration.

Explore data visualization ethics, examining how color and chart choices influence storytelling. Learn to create truthful, impactful visualizations while protecting your company's reputation.

Discover how to implement source control in Business Intelligence environments, improving version management, tracking changes, and facilitating parallel development for databases, cubes, and reports.

Explore rapid data modeling and prototyping using Power BI Desktop. Learn to connect, cleanse, and model data from various sources, creating quick reports for project approval without licensing costs.

Explore Azure storage options for analytics, including data lakes and databases. Learn best practices, structures, and appropriate choices for different scenarios to build effective data ecosystems.

Learn to create and deliver your first presentation with expert tips on idea development, content creation, and effective delivery techniques.

Learn techniques for protecting sensitive data across systems using SSMS and SQL Server tools. Explore data classification, dynamic and static masking to ensure data security while maintaining accuracy for testing and analytics.