Whitepapers Datanami's white paper database contains reports from the leading thought-leaders and idea generators in the Datanami industry.

Detecting Sensitive Data in the Cloud: You Can’t Protect What You Can’t See

Source: Dataguise
Release Date: Oct 1, 2015

When sensitive data gets relegated to the cloud, the price is constant vigilance. With pressure to maintain data security at an all-time high, emerging tools designed to detect and protect privileged data in Hadoop will soon be enterprise essentials. Is your data protected?

Cambridge Semantics

Anzo Smart Data Lake – Enterprise Graph-Based Data Discovery, Analytics and Governance

Source: Cambridge Semantics
Release Date: Sep 25, 2015

As enterprise databases continue to grow, a semantic data model and an efficient data warehouse becomes necessary.  Finding a platform that can integrate cohesively with your existing data storage methods can be tricky. This informative document shows how graph-aware tools can eliminate the need to compromise between a data warehouse and data swamp, allowing the business to arrive at insights faster than ever before. Read on to see how this database technology can allow your company to work with more Read more…

Teradata Aster, Machine Learning, and Big Data

Source: Teradata
Release Date: Jul 22, 2015

In the age of Big Data, the leading edge of machine learning is no longer defined by chess games or spam filtering, but instead the ability to disrupt industries through decisive insights. But empowering your organization shouldn’t require a PhD in data science. Learn how to tame your organization’s data with our latest whitepaper, sponsored by Teradata.

SpotlightON: Accelerating Time to Value of Hadoop Data

Source: Teradata
Release Date: May 7, 2015

Download this report to take a look at how top data scientists and engineers are accelerating their time to value and staying afloat in Hadoop data lakes with better visibility and faster data processing.

SpotlightON: OLAP on Hadoop

Source: Kyvos Insights
Release Date: Apr 2, 2015

Download this report to take a look at how enterprises are blending online analytical processing (OLAP) systems with the power of Hadoop to intuitively interact with immense data volumes.

Disruptive Technologies in Energy & Life Sciences

Source: Altiar, Bright Computing, EMC, Numascale, and Platfora
Release Date: Mar 24, 2015

This 49-page in-depth report takes a look at how two very different industries are scaling familiar advanced computing concepts to new heights, forcing major players to keep pace in order to remain competitive.

Kx Systems

Read the paper that’s changing the way enterprises see Big Data.

Source: Kx Systems
Release Date: Jan 5, 2015

Proven in finance – the industry with the most demanding time-series data analytics requirements – kdb+ offers enterprises in other industries similar benefits and enhanced technical advantage. But don’t take our word for it: check out the whitepaper.

Get Actionable: Let Data Drive Decisions

Source: Looker
Release Date: Dec 2, 2014

As organizations look to integrate structured and unstructured data from a number of different sources, challenges arise and actionable insights are delivered more slowly. Discover how businesses are realizing the full benefit of their data with a new business intelligence model.

SpotlightON: Managing Big Data with Metadata

Source: General Atomics
Release Date: Nov 12, 2014

As organizations of today grow and evolve, so too are data volumes. Instead of throwing away old information, structured and unstructured data alike are funneled into enterprise data hubs, but often without the essential tool for keeping this data in order: metadata. Join us as we explore the potential of metadata and learn how to turn your data junkyard into a gold mine of insights.

SpotlightON: Unified Big Data Management

Source: Talend
Release Date: Nov 4, 2014

As information proliferates, data-driven companies have emerged as the leaders of their industries. But having petabytes of data in storage is only a start – being able to secure, integrate, cleanse, and transform that data through analysis is key. Learn more about how enterprises are gaining a competitive edge through a unified approach to big data management.