2 IBM Cognos Dynamic Cubes
1.1 Introduction to IBM Cognos Dynamic Cubes
With the advent of new data types and data sources, data warehouses are more critical than
ever. The information in a well-designed data warehouse contains the corporate memory of
an organization and the context to make sense of other data. For example, the contextual
value of your business products and locations will make social data from systems such as
Apache Hadoop much more relevant.
In addition, when new data is collected that provides insight, either from new sources or from
instrumented devices, the ability to store it for later reference is critical. Recording analyses
and point-in-time reports in an organized system provides this ability.
It is no surprise, then, that the data warehousing market continues to increase in popularity,
growing at double digits year after year. The volume of data being generated from multiplying
sources makes these technologies a must-have and must-leverage for virtually all
organizations.
IBM Cognos Business Intelligence provides a proven enterprise BI platform with an
open-data access strategy. It provides customers with the ability to pull data from various data
sources, package it into a business model, and make it available to consumers in a variety of
interfaces that are suited to the task, using business language that is relevant to consumers.
Cognos Dynamic Cubes complements the existing query engine, and extends Cognos
scalability to enable speed-of-thought analytics over terabytes of enterprise data, without
being forced to rely on a new data-warehousing appliance. This capability adds a new level of
query intelligence so you can unleash the power of your large enterprise data warehouse.

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