Unified Data Management: Combine the Best of Data Lakes, Data Warehouses and Streaming Systems

On-Demand Webinar

The slides for this session are available as attachments within the webinar itself.  Please start the webinar, hover over the webinar, click [Attachments], and you will be able to download all the materials.


Current data management architectures are a complex combination of siloed, single-purpose tools. There are data lakes for low cost storage, but are difficult to use for data discovery, data warehouses that are reliable and optimized for fast queries, but come at a cost when having to scale, and various streaming and batch systems to shuffle data between them, often times resulting in data integrity issues.


Businesses have to create a patchwork of different tools, skillsets, and expertise just to solve one fundamental problem: How can I make data-driven decisions faster?
Join this webinar to learn how Databricks Delta — a new unified data management system — takes advantage of the the scale of a data lake, the reliability and performance of a data warehouse, and the low-latency updates of a streaming system, all in a unified and fully managed fashion.
This webinar will cover:

  • How the need to process batch and streaming data creates challenges for enterprises with complex data architectures.
  • How Databricks Delta takes the best of data warehouses, data lakes and streaming systems to provide a highly scalable, performant, and reliable data management system.
  • A live demonstration of Databricks Delta to showcase how easy it is to cost-efficiently scale without impacting query performance.

Presenters
  • Bill Chambers

    Product Manager

    Bill Chambers is a product manager at Databricks. He is responsible for envisioning, building and launching enterprise software products.

  • Jason Pohl

    Director, Solutions Architecture

    Jason Pohl is a director of solutions architecture with Databricks, focused on helping customers become successful with their data initiatives. Jason has spent his career building data-driven products and solutions.