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Iconity expertise guarantor Mark ThomsonIconity expertise guarantor Stefan Markus
Stefan Ruhland, Stefan Markus
February 25, 2021 | 10 minute read
„The DWH is dead, long live the DWH” – so what? Many organizations deal with the question of whether their data warehouse is still up-to-date or has already become obsolete because of Hadoop, the cloud and other new technologies. We will discuss this question based on several recently conducted modernization projects.

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There are many reasons to attempt a modernization project: high costs and a cumbersome legacy environment, lack of user satisfaction, but also new technologies promising higher benefits at lower costs.

Which of the promises can one believe? Which objections and concerns do you have to take seriously? And most of all: when is it really time to undertake a comprehensive modernization of the data warehouse landscape?

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However, before we address the possible motivations for a modernization and the available courses of action that are best suited, a definition must first be made: when is it really a DWH modernization and how can it be differentiated from minor changes such as a database upgrade? Following common definitions, modernization can be interpreted in a variety of ways.

The term stands for simple software updates as well as for the complete reorientation of the DWH architecture. In addition, new model-driven development methods and agile project management approaches are also part of the modernization concept. From our point of view, all measures that enable an organization to keep its data warehouse environment relevant and competitive and to align it with new business and technological requirements can be summarized as modernization. Simple software updates that do not meet new requirements would not be enough to be considered a modernization.

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From our point of view, all measures that enable an organization to keep its data warehouse environment relevant and competitive and to align it with new business and technological requirements can be summarized as modernization. Simple software updates that do not meet new requirements would not be enough to be considered a modernization.

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From our point of view, all measures that enable an organization to keep its data warehouse environment relevant and competitive and to align it with new business and technological requirements can be summarized as modernization. Simple software updates that do not meet new requirements would not be enough to be considered a modernization.

From our point of view, all measures that enable an organization to keep its data warehouse environment relevant and competitive and to align it with new business and technological requirements can be summarized as modernization. Simple software updates that do not meet new requirements would not be enough to be considered a modernization.

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From our point of view, all measures that enable an organization to keep its data warehouse environment relevant and competitive and to align it with new business and technological requirements can be summarized as modernization. Simple software updates that do not meet new requirements would not be enough to be considered a modernization.

Iconity expertise guarantor Mark Thomson
Stefan Ruhland
Principal Consultant at Simplity and business lead for numerous successful implementation projects. Previously, he worked for various consulting firms and IT service providers.
Iconity expertise guarantor Stefan Markus
Stefan Markus
Senior Consultant at Simplity and lead data architect for customers in various industries. He began his career as a Data Modeler and BI Consultant at Teradata.

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