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

Advanced Scale Computing – Making the Case

Source: Zoomdata
Release Date: Aug 23, 2016

Today’s leading organizations are dealing with larger data sets, higher volume and disparate data sources, and the need for faster insights. Don’t fall behind to your competitors – discover big data made simple as we make the case for advanced-scale computing. Read more…

Hadoop and Spark: From Prototype to Production

Source: Cask
Release Date: Jul 20, 2016

Thanks to technologies like Hadoop and Spark, the data storage drought has become a wellspring of capacity, and with Spark, making sense of that data is easier than ever. But third-party vendors are critical to delivering value atop these core technologies. Read more…

The Convergence of HPC and Big Data for Enterprise

Source: Bright Computing
Release Date: Jul 14, 2016

The combined power of clustered servers, advanced networking and massive datasets are merging, and a new Big Data reality is on the rise. To leverage all this landscape has to offer, correctly selecting, implementing and managing new technologies is critical, and we’re here to point you in the right direction. Read more…

Accelerating R Statistical Analysis in the Life Sciences

Source: Numascale
Release Date: Mar 3, 2016

Don’t let your compute infrastructure hold you back – learn how a dedicated R appliance will free up your data scientists while delivering the performance and scope that your organization depends on. Read more…

Spotlight ON: Future-proofing Real-time Streaming Analytics

Source: Impetus
Release Date: Dec 15, 2015

With organizations collecting more data than ever, the growth of data lakes is struggling to keep up. To pull out ahead of fast data, many are choosing real-time data analytics for lightning fast results for everything from healthcare to hedge funds. Read more…

SpotlightON: Mellanox and the Advancement of Machine Learning

Source: Mellanox
Release Date: Nov 19, 2015

At the intersection of next-gen parallel processors, interconnect technologies and storage systems, machine learning (ML) is coming into its own. Join us as we examine top hurdles to effective ML implementation, and explore use cases from the leading edge. Read more…

SpotlightON: Behavioral Analytics for Real-World Results

Source: Interana
Release Date: Nov 12, 2015

When it comes to customer insights, businesses have come a long way from the low-tech times of focus groups and secret shoppers, but for the new age of big data comes with baggage of its own. Read more…

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. Read more…

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. 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. Read more…