Organizations are collecting enormous amounts of structured and unstructured data. This data holds valuable insights, but traditional data warehouses can struggle to handle the volume, variety, and velocity of modern data sets. This presentation will explore how combining SQL Server with a data lakehouse architecture can revolutionize your analytics capabilities.

We'll dive into the concept of a data lakehouse, which brings the best of data lakes and data warehouses together. You'll learn how to leverage SQL Server's robust relational capabilities alongside the scalability and flexibility of a data lake, all while maintaining data quality and governance. We'll discuss how to:

Ingest and store: Efficiently capture and store data from diverse sources, including databases, IoT devices, and cloud applications, in your data lakehouse.

Transform and model: Prepare your data for analysis using familiar SQL Server tools and techniques, ensuring data quality and consistency.

Query and analyze: Leverage the power of SQL Server's query engine, augmented by data lakehouse capabilities, for high-performance analytics and reporting.

Govern and secure: Implement comprehensive data governance and security measures to protect sensitive data and ensure compliance with regulatory requirements.

Whether you're a data engineer, analyst, or business leader, this session will provide actionable insights and strategies to accelerate your analytics initiatives, reduce costs, and unlock the full potential of your data assets. Discover how SQL Server and data lakehouse can empower your organization to make faster, more informed decisions and drive business growth.