Data Transformation Copilot

Learn how the Texas Rangers use Prophecy and Databricks Lakehouse as the foundation of their data mesh architecture to gain a competitive advantage with low-code data engineering.

Leverage Prophecy’s low-code approach and integration with dbt Core to build SQL data pipelines without compromising on engineering best practices

Let's create a pipeline using Prophecy's visual, low-code interface for Spark.

Let's get started with PySpark using a visual interface to generate open-source Spark code.

In Part 1, we learned an easy way to troubleshoot a data pipeline using historical, read-only metadata. Now, I want to dig in and polish my individual spark data frames.

Let’s take advantage of Spark’s interim metadata to understand our Spark job behavior with low-code tooling.