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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.


Cloudera white paper Three Reasons to Modernize Cybersecurity thumb

Three Reasons to Modernize Your Cybersecurity Architecture

January 1, 2017

Download this white paper to learn how forward-thinking organizations have discovered a new class of cybersecurity solutions.


IBM white paper Horsepower of Hadoop thumb

The Horsepower of Hadoop: Fast and Flexible Insight with Results

January 1, 2017

Download this white paper for an investigation into the impact of Hadoop on the data, people, and performance of today's companies.


Cloudera white paper Five Common Hadoopable thumb

Five Common Hadoopable Problems

January 1, 2017

Download this white paper to learn how organizations are harnessing the power of Apache Hadoop.


Gartner Critical Capabilities for Data Quality Tools

January 1, 2017

Download this Gartner report to see how 18 data management technology vendors stack up when comparing performance across the most significant use cases for data quality tools.


New MCG Global Services Hadoop Data Integration Benchmark Report

January 1, 2017

Download this report to see how the performance of data quality and data management workloads on Hadoop clusters stack up when comparing speed, implementation, and usability.


Strategies for the Game: How to Win at Big Data Analytics and Double the Impact of Your Analytics Team

January 1, 2017

Download this informative e-book today and learn winning strategies for dealing with explosive data growth and the proliferation of data sources.


IDC MaturityScape Benchmark: Big Data and Analytics in the United States

January 1, 2017

Understand your big data and analytics maturity level against industry benchmarks and make data-driven decisions based on organizational goals.


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