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

How to Solve the Unstructured Data Paradox

Source: WekaIO
Release Date: Oct 13, 2017

Organizations with performance sensitive or large stores of unstructured data have a new option to consider. In most cases these organizations have a compute cluster already established for processing. WekaIO’s proposition is to simplify data storage by making it a scalable application that leverages the compute cluster to provide storage services. Read more…

Workload-Aware Auto-Scaling; A New Paradigm for Big Data Workloads

Source: Qubole
Release Date: Oct 12, 2017

This technical white paper explains the differences between what cloud provider auto-scaling was designed to support vs. what is required to scale cloud resources with Hadoop, Spark and big data workloads. Read more…

How to Drive Big Data Projects to Maturity

How to Drive Big Data Projects to Maturity

Source: Qubole
Release Date: Jun 29, 2017

Overcoming Obstacles to Data Lake Success

Overcoming Obstacles to Data Lake Success

Source: Zaloni
Release Date: Jun 16, 2017


Big Data: The End of Information Silos

Source: PHEMI
Release Date: May 5, 2017

Nearly every organization recognizes the competitive edge offered by the oceans of data they have at their fingertips. So why aren’t more organizations monetizing this value and realizing the advantage? Read more…

O’Reilly eBook: The Big Data Transformation

Source: HPE Vertica
Release Date: Apr 10, 2017

Optimized Machine Learning Libraries For CPUS Exceed GPU Performance

Optimized Machine Learning Libraries For CPUs Exceed GPU Performance

Release Date: Dec 6, 2016

New research suggests that when machine learning applications are optimized for CPUs, performance can match and even exceed that of GPUs. Is your organization making hardware procurement decisions based on biased benchmark results? Read more…

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…