Data Warehouse Modernization: Accelerating Time-to-Action

Data warehouses have been the standard tool for analyzing data created by business operations. In recent years, increasing data volumes, new types of data formats, and emerging analytics technologies such as machine learning have given rise to modern data lakes. Connecting application databases, data warehouses, and data lakes using real-time data pipelines can significantly improve the time to action for business decisions.

Join the MapR and StreamSets experts on Wednesday August 16th at 10am PT to learn how to:

  • Connect your databases, data warehouse, and data lake without code: StreamSets can help you connect your existing databases and data warehouse with the MapR Converged Data Platform to create a modern data lake. You can offload/move data without having to write a single line of code as well as continually monitor and visualize your dataflows.
  • Utilize change data capture (CDC) for efficient real-time data movement: No more analyzing stale data or reliance on batch database updates. Leverage CDC to continually update the MapR data lake and ensure your insights and action are based on complete and current data.
  • Effectively analyze frequently changing data: MapR Converged Data Platform is built on a read-write file system unlike other big data platforms. Land frequently changing data into MapR Database and analyze it using modern distributed computing technologies.


Clarke Patterson
Head of Product Marketing StreamSets

Ankur Desai
Sr. Product Marketing Manger MapR