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RESEARCH & RESOURCES

TDWI White Paper Library

TDWI maintains this library of white papers as a resource for in-depth research and commentary about the big data, business intelligence, data warehousing, and analytics industry. The content in this repository is crafted by TDWI's software and consulting partners. To find out how your company can promote its content in this library, click here.


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Hadoop-Enabled Analytics: Don't Ignore the Elephant in the Room

February 24, 2017

Download this white paper to learn about Hadoop's business-friendly benefits.


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Five Key Capabilities Surrounding a Top-Notch Hadoop Environment

February 24, 2017

Download this white paper to learn how Hadoop can be a catalyst for an enhanced and well-rounded data strategy.


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The Hybrid Data Warehouse: Fluid, Flexible, and Formidable

February 24, 2017

Download this white paper to explore hybrid data warehouses that exploit the potential of cutting-edge technologies.


Architecting a Platform for Big Data Analytics (2nd ed.)

February 24, 2017

Download this white paper to learn about IBM's cloud and on-premises big data analytics offerings, such as IBM BigInsights for Apache Hadoop; IBM integration with Apache Spark; and Big SQL and Fluid Query, which simplify access to traditional data warehouses and Hadoop.


Magic Quadrant for Data Warehouse and Data Management Solutions for Analytics

February 24, 2017

The market for data warehouse and data management solutions for analytics is demanding broad solutions. Download this Gartner Magic Quadrant report to find the right vendor for your needs.


Just the Facts: Four Critical Concepts for Planning the Logical Data Warehouse

February 24, 2017

If your first-generation warehouse is constraining your business, it may be time to consider a logical data warehouse solution. This white paper describes the four key facts you need to know to help you evaluate and choose the right solution.


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How to Scale Business Intelligence with Hadoop-Based Platforms

January 26, 2017

Download this new vendor-neutral assessment to learn key barriers to feeding the growing appetite for data insight across organizations—and how to overcome them at the scale that only a native big data architecture makes possible.


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