On-Demand Webinar

Supercharge your data lakehouse with low-code Apache SparkTMand Delta Lake


Jason Pohl

Jason Pohl

Director of Data

Maciej Szpakowski 

Chief Product Officer
and Co-Founder

With the ever-increasing quantities of data and the rise of unstructured data, data warehouses have become expensive and difficult to maintain.  A data lakehouse architecture has emerged, which combines the best aspects of data lakes and data warehouses to provide a single solution for all data workloads.

In this webinar, join Prophecy and Databricks to learn how a low-code platform can enhance your data lakehouse by:

  • Organizing data into Delta tables that correspond to different quality levels of data
  • Visually building a data pipeline and turning it into well-engineered Spark code
  • Storing the code directly into your Git and leveraging testing and CI/CD best practices