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Big Data and The HPE Workload and Density Optimized System

This is the fifth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fifth entry in the series is focused on the HPE Workload and Density Optimized System.

The HPE Elastic Platform for Big Data Analytics

This is the fourth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fourth entry in the series is focused on offerings from HPE for big data analytics.

“Above the Trend Line” – Your Industry Rumor Central for 3/13/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

Realizing a Scalable Data Lake

This is the third entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well as offerings from HPE for big data analytics. The third entry in the series is focused on realizing a scalable data lake.

Cycle Computing Helps HyperXite Build Transportation for the Future

Cycle Computing, a leader in Big Compute and Cloud HPC orchestration, announced that the HyperXite team is utilizing Cycle Computing’s CycleCloud to manage Microsoft Azure compute hours needed in order to perform detailed simulations using ANSYS Fluent®.

Big Data is Big Business – The Driving Forces in Enterprise Technology

We here at insideBIGDATA follow business technology very closely, seemingly even in our sleep. So we were delighted when our friends over at Pyramid Analytics, a company that works to support their enterprise customers’ data and analytics strategies, reached out to us with several trends and developments taking place across the industry.

The Changing Data Landscape

This is the second entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and realizing a scalable data lake, as well as offerings from HPE for big data analytics. The second entry in the series is focused on the changing data landscape.

“Above the Trend Line” – Your Industry Rumor Central for 2/27/2017

Above the Trend Line: machine learning industry rumor central, is a recurring feature of insideBIGDATA. In this column, we present a variety of short time-critical news items such as people movements, funding news, financial results, industry alignments, rumors and general scuttlebutt floating around the big data, data science and machine learning industries including behind-the-scenes anecdotes and curious buzz.

2016 Was a Big Year for Big Data

In this contributed article, tech writer Linda Gimmeson takes a short look back to 2016 to highlight a shortlist of ways that Big Data has made a significant impact in today’s society.

Cazena Announces New Data Science Sandbox as a Service

Cazena unveiled its Data Science Sandbox as a Service. The service is designed to deliver significantly faster outcomes from data science and analytics programs. Now, data scientists can run a wide range of analytics in a flexible cloud environment without having to build, manage or maintain the underlying technology.