Supercharge your data lakehouse with low-code Apache SparkTMand Delta Lake
Director of Data
Chief Product Officer
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