Skip to content Skip to footer

The Definitive Guide to Data Warehouse Modernisation

Published by: Informatica

Data Management Patterns for Next-Generation Analytics and AI.
Modern data management practices raise questions about the role of data warehousing. Though some have declared the data warehouse dead, many organisations operate at least one data warehouse and expect to do so for the foreseeable future. Data warehousing continues to be an important part of data management, but we need to modernise aging data warehouses to fit into modern data management practices and to deliver sustained value into the foreseeable future. Legacy data warehouses must evolve both architecturally and technologically to fit into modern analytics ecosystems.
This report provides guidance to sustain the value of data warehouses through architectural restructuring, cloud migration, and integration into a comprehensive and cohesive data management strategy.

Read More

By submitting this form you agree to Informatica contacting you with marketing-related emails or by telephone. You may unsubscribe at any time. Informatica web sites and communications are subject to their Privacy Notice.

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 dataprotection@techpublishhub.com

digital route logo
Lang: ENG
Type: Whitepaper Length: 29 pages

More resources from Informatica