Resources and Insights

Join this webinar to learn how the Texas Rangers are creating a competitive advantage in professional baseball by using data analytics and AI to improve player performance and evaluate new talent.

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.

For enterprises, navigating the cloud transition can be tricky. This describes the two paradigms for ETL in the cloud, and the factors to consider when choosing one.