
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.

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

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.

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.

Explore strategies for integrating Business Intelligence into your organization, including infrastructure configuration, leveraging Power Platform, and addressing key challenges and opportunities.

Explore SSRS 2019 and Paginated Reports in Power BI, covering new features, report authoring, subscriptions, and management. Learn about pixel-perfect reporting alongside interactive Power BI reports.

Explore recent enhancements to Columnstore Indexes in SQL Server 2017-2019, focusing on performance improvements for Data Warehouses and BI solutions. Learn about new features and fixes for high-scale environments.

Explore AI integration in BI solutions for enhanced data insights. Learn to use pre-built AI tools, consume data scientist models, and leverage Power BI's AI features for intelligent reporting.

Explore Microsoft's BI strategy and roadmap with Power BI leadership. See demos of latest enterprise features and learn how to leverage data for organizational success.

Explore high-performance data analysis using Power BI Aggregations. Compare with Analysis Services, learn implementation strategies, and understand architectural approaches for optimized analytical solutions.

Explore cloud vendor strengths, migration tools, and service mapping for OLTP and BI-stack migrations. Learn to evaluate single-vendor benefits and challenges for informed cloud platform selection.

Explore Continuous Intelligence, combining Continuous Integration and Business Intelligence for flexible BI application deployment. Learn advantages, challenges, and implementation strategies for Analysis Services.

Enhance Power BI reports with practical DAX formulas for conditional formatting, non-additive measures, top N analysis, and dynamic slicer descriptions. Hands-on examples provided for immediate application.

Explore various methods for implementing role-playing dimensions in tabular models, including DAX expressions, with a focus on model maintainability and user experience in data analysis.

Learn to implement DevOps practices for SQL databases, Analysis cubes, and SSIS packages using Azure DevOps Pipelines. Discover techniques for code tracking, compile-time checking, and efficient deployments.

Discover Power Query's transformation capabilities, M language benefits, and Dataflows' role in Power BI. Learn advanced features through demos to enhance your data preparation skills.