Data Bricks

5 Steps to a Successful Data Lakehouse

Published by Data Bricks

By Bill Inmon, father of the data warehouse

Bill Inmon, widely considered the father of the data warehouse, believes the data lakehouse presents an opportunity similar to the early years of the data warehouse market. The lakehouse’s unique ability to combine the data science focus of the data lake with the analytics power of the data warehouse — in an open environment — will unlock incredible value for organizations.

Get your copy to discover the 5 key steps to building a successful data lakehouse:

  1. Start with the data lake that already manages most of the enterprise data
  2. Bring quality and governance to your data lake
  3. Optimize data for fast query performance
  4. Provide native support for machine learning
  5. Prevent lock-in by using open data formats and APIs

Download Now


Required fields*

By registering, I agree to the processing of my personal data by Databricks in accordance with their Privacy Policy. I can update my preferences at any time. Please agree to the conditions

By requesting this resource you agree to our terms of use. All data is protected by our Privacy Notice. If you have any further questions please email

Related Categories Hardware, Data Storage & Management , Data Warehousing, Software & Applications , Applications, CRM, Databases, Open Source, Networking & Connectivity , Big Data, Business Intelligence (BI), Data Warehousing, Compliance, Data management, Cloud Storage, CRM, ERP, Big Data, Databases, Storage, Processors, Email & Communication Technologies , Data Storage & Management , Backups, Data Replication, Data Storage, SAN, Storage Systems, Cloud, Digital transformation, Analytics, Machine Learning, AIM, Artificial Intelligence (AI), Enterprise Applications, IOT, Workflow, Software, Goals, Distribution, Oracle, SAP

More resources from Data Bricks