On-Demand Webinar
Supercharge your data lakehouse with low-code Apache SparkTMand Delta Lake
Speakers
![Jason Pohl](https://cdn.prod.website-files.com/5ec715027543887d417f301a/630a20dc2bf6137d4eae34a4_1562098652958-min.jpeg)
Jason Pohl
Director of Data
Management
Databricks
Management
Databricks
![](https://cdn.prod.website-files.com/5ec715027543887d417f301a/630a22e1b123fb2386accff5_1533534341580.jpg)
Maciej Szpakowski
Chief Product Officer
and Co-Founder
Prophecy
and Co-Founder
Prophecy
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