Data Warehouse Appliances and the New World Order of Analytics

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Provided by: IBM
Topic: Data Management
Format: HTML
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.

The single data warehouse repository simply could not support any and all analytics anymore. A new architectural concept called the Extended Data Warehouse architecture (XDW) has taken the place of the single repository idea. It accommodates the new forms and volumes of data, the need for different sub-environments for varying analytical requirements, and the immensely innovative technologies available today.

In this paper, we focus on the DWA and how it has evolved over the years since its introduction. The XDW architecture is then described, in which the need to maintain the data warehouse is documented while adding new components and capabilities to extend the analytical capabilities. This section also discusses the appropriate usage of appliances within the XDW. The rest of the paper covers the benefits from implementing the DWA, the selection considerations for them and what the future holds for them.
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