Prophecy: Data Transformation for the Modern Lakehouse
Read this new research paper to learn how Prophecy is reshaping data transformation in the context of modern data architectures.
Low-code data engineering on Databricks for dummies
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.
6 self-service obstacles for analysts that modern data leaders should not ignore
Ensure the success of your self-serve analytics
Democratizing transformations: 3 keys to impactful data products with low code
By Sanjeev Mohan, Principal at SanjMo and Former Gartner Research VP
4 Data engineering pitfalls and how to avoid them
Best practices for boosting data engineering productivity.
The low-code lakehouse architecture guide
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.
The low-code platform for data lakehouses
Four considerations for building a next-gen data architecture.
Implement data mesh with self-serve
Get business teams started with a self-serve platform to build data products with speed, standards and quality on the lakehouse.
Low-code Apache Spark™ and Delta Lake
Make data lakehouses even easier.
Ab Initio to Spark
Guide to modernizing ETL and lowering costs with Prophecy.