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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Making Big Data Analytics Smarter with Cloudian and Cloudera

June 1, 2018

As data grows in volume, variety, and velocity, so does the capacity required for storage and archive as well as associated infrastructure and operating costs.


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Eight Storage Requirements for AI and Machine Learning

June 1, 2018

Eight specific storage requirements of AI and ML applications and why they demand the data management capabilities supplied by enterprise object storage solutions.


Cloudera white paper

Cloudera in the Cloud: The Future of Cloud-based Analytics

May 30, 2018

Nik Rouda discusses how Cloudera complements popular cloud services, such as Amazon Web Services (AWS) and Microsoft Azure, and offers the unified platform to organize, process, analyze, and store data at large scale...anywhere.


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The Many Advantages of Cloudera Enterprise

May 30, 2018

Your data platform choice will ultimately determine the success of all your business and operational goals related to insights.


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Using IoT Data to Understand How Your Products Perform

May 21, 2018

The companies seeing the greatest value from IoT are the best at dealing with how products are performing for customers.


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Achieving a Force Multiplier and Improving Organizational Effectiveness in Law Enforcement

May 16, 2018

Can law enforcement agencies at local, state, and federal levels utilize advanced technologies to boost organizational effectiveness and promote higher levels of public safety?


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Information Builders Success in Healthcare

May 16, 2018

Information Builders partners with healthcare firms to optimize care quality, improve cost control and revenue cycle management; increase visibility into asset utilization; improve the accuracy and consistency of patient data by helping to identify at-risk populations, and more.


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