Guides

Over the past five years, Prophecy leadership has been dedicated to understanding how to solve this challenge once and for all - and what a zero-compromise solution looks like. We are excited to share our learnings from working with many enterprise organizations that include top-tier financial companies, healthcare and pharmaceutical firms, as well as hyper-scale technology giants.

The landscape of data pipelines has evolved significantly, particularly in tandem with the emergence of the modern data stack.

Read this new research paper to learn how Prophecy is reshaping data transformation in the context of modern data architectures.

This book provides a primer into the power of low-code data engineering and how it can enable both technical and business data users with visual data transformation to convert raw data into analytics and machine learning-ready data.

Ensure the success of your self-serve analytics

By Sanjeev Mohan, Principal at SanjMo and Former Gartner Research VP

Best practices for boosting data engineering productivity.

Empower any data user at any skill level to harness the potential of Databricks and modernize your process for developing, deploying, and managing data pipelines.

Four considerations for building a next-gen data architecture.

Get business teams started with a self-serve platform to build data products with speed, standards and quality on the lakehouse.

Make data lakehouses even easier.

Guide to modernizing ETL and lowering costs with Prophecy.