Businesses are struggling with the rapidly increasing volume, speed and variety of information being generated today – what's come to be known as big data. Companies are seeking technologies that not ...
If 2013 was the year that most organizations discovered what Big Data platforms such as Hadoop were all about, then the coming year will be the one in which they discover the applications that turn ...
One implication of ubiquitous sensing as evidenced by the rapid growth of the Internet-of-Things (IoT) is the explosive increase in data being collected. This data comes from myriad sources: According ...
Aaron Kimball co-founded WibiData in 2010. He has worked with Hadoop since 2007 and is a committer on the Apache Hadoop project. Software applications have traditionally been perceived as a unit of ...
An industry-supported online school provides a good grounding in the science and application of very large datasets. A virtual school, developed by a team of leading software and hardware companies, ...
Part 2 of CRN’s Big Data 100 includes a look at the vendors solution providers should know in the systems and platforms space. A Systemic Approach Business analytics and data visualization ...
A comprehensive database optimization framework integrating connection pooling, distributed caching, and multi-layer encryption achieves ...
NEW YORK--(BUSINESS WIRE)--VAST Data, the storage software company breaking decades-old tradeoffs, today announced that the digital travel platform, Agoda (a Booking Holdings subsidiary), selected ...
Intel, increasingly customizing server chips for customers, is now tuning chips for workloads in big data. Software is becoming an important building block in chip design, and customization will help ...
The primary focus of the General Data Protection Regulation (GDPR) framework is on protecting the rights of individuals to privacy, without compromising their personal data stored by state ...
This course is specifically designed for technical staff within national statistics offices (NSOs) and central banks including economists, statisticians, and data scientists working on macroeconomic ...
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