Guides
Reports, eBooks, White papers
Download this whitepaper and learn how to adopt new approaches to data transformation to deliver insightful and ready-for-analytics and AI data.
We explore the essential capabilities and strategies needed to break free from these dysfunctions and fully leverage your team as a competitive advantage.
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Overcoming challenges and unlocking opportunities in data and workflow transformation
Accelerating the delivery of clean, trusted and timely data for Analytics and AI on the cloud data platforms you have
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An analysis of the benefits of modern self-service data transformation tooling and how they raise productivity within the enterprise
Learn what it takes to get the next level
The trends and technologies defining the future of AI
Transform your data operations with Databricks and Prophecy
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
Get business teams started with a self-serve platform to build data products with speed, standards and quality on the lakehouse.
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.
