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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Magic of Data Integration for the Enterprise - eGuide

Read this fun eGuide to discover how the simple and automated Attunity data integration platform benefits users with its drag-and-drop GUI design that enables very high-volume universal data replication and ingestion as well as real-time, continuous data integration and loading.


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A Practical Guide to Data Warehouse Offload and Optimization with Hadoop

Download this guide for a cost-effective, low-risk solution to rebalancing data and workloads from traditional data warehouses to Hadoop.


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Six Guiding Principles for Effective Data Lake Pipelines

Data lakes have emerged as a primary platform on which data architects can harness Big Data and enable analytics for data scientists, analysts and decision makers. Download this white paper to learn the six core principles that successful IT organizations adopt to address common data lake challenges.


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Expert Tips for Accelerating Big Data Analytics and Better Business Insights

Download this white paper to learn the drivers and challenges for enabling real-time big data delivery in heterogeneous environments using analytics.


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Future-Proof Your Data Lake Environment: Maximize the Value of Big Data to Your Organization

Data lakes add value. Their use improves organizations’ operations and business performance. Our research underscores this; four out of five participating organizations consider the analytics enabled by data lakes to be important. But these benefits aren’t automatic.


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Modern Business Intelligence: Leading the Way for Big Data Success

This book will look closely at the emerging trends in big data and the pressing need for analytics solutions that emphasize more user-friendly approaches, such as more sophisticated visualization techniques.


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Metadata Management as a Strategic Imperative

The data management landscape is highly complex, with Big Data and NoSQL technologies creating a variety of languages and skills that most organizations do not have internally. Metadata management has strategic, efficiency, financial, and regulatory implications that must be addressed to break data value bottlenecks.


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