Best practices for implementing data mesh on the lakehouse

Shorten time to value

Data Mesh and Lakehouse — Best Practices for Modern Data Architectures

Data and analytics are now considered strategic in the boardroom. However, implementation approaches to date have been siloed, fractured and expensive. By democratizing data engineering, IT teams can speed up the creation of business-ready data.

In this paper, you'll learn:

  • How to create self-service, governed and reusable data products
  • Best practices on how to combine the data mesh organizational architecture with the simple, open and multicloud data architecture of the Databricks Lakehouse
  • How business analysts and data scientists can shorten the time to value and democratize decision making

This paper has been written by Mike Ferguson, IT Industry analyst, specialised in Data & Analytics, CEO of Intelligent Business Strategies and Chairman at Big Data London.