Resources and insights

We discuss the two cloud data engineering architectures and advise which one to pick as you move your ETL to the cloud.

Parser combinators allow you to develop sophisticated parsers quickly and see how to use them.

Johnson & Johnson takes center stage with Prophecy

Join us in Orlando to witness the future of data transformation

Join our webinar and see why self-service is the future of data transformation, through unified visual & code technology

Join us in this exciting journey and discover how Prophecy's self-service solutions are revolutionizing the data landscape.

Top 10 reasons to visit Prophecy at Data + AI Summit 2023

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.

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.

A rising number of enterprises are adopting the lakehouse to unite their analytics projects and foster innovation on a shared, cloud-based platform.

Learn essential skills and techniques to empower non-technical data practitioners to build ETL pipelines without relying on data engineering.

Learn more about the evolution of data architectures, from traditional ETL through two-tier and modern data lakehouses. Explore how Prophecy can enable you to leverage the lakehouse by making common use cases like advanced merges and slowly changing dimensions significantly easier.

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

We're excited to be a part of Databricks Partner connect! Read this blog to learn how Databricks Partner Connect makes getting started with Prophecy simple via single-click signup and sign-in.

Prophecy has innovated in metadata management by merging code on git with metadata, making it code-first.

Prophecy computes column-level lineage from code for Spark code on Git.

Prophecy IDE enables visual and code developers to produce high-quality Spark code.

Customer discovery is essential to figuring out product market fit. Learn how to do it well and when to use it.

Introducing Prophecy.io — a high-performance, zero-compromise, cloud-native data engineering product powered by Spark for enterprise data engineering teams.