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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.

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Lang: ENG
Type: Whitepaper Length: 29 pages

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