CTOvision
MARCH 16, 2020
Read Mary Shacklett explains why slower network speeds can actually benefits your big data projects on Tech Republic : There isn’t a company or a communications provider that isn’t thinking about the importance of 5G networks, which promise low latency and data transfer speeds that can be as much as 100 times faster than their […]. (..)
CTOvision
AUGUST 26, 2014
Editor’s note: This looks like one of the most relevant data analytics events of the season. Company representatives that want to meet the NASA experts on Big Data should attend. What could their approach and tools do for your Big Data analysis challenges? Discover what big data tools NASA utilizes.
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Data Center Knowledge
OCTOBER 3, 2014
Outside of a small number of players, Big Data is not really all that big, writes Michael Bushong of Plexxi. But that doesn’t mean that architects building out infrastructure for a Big Data era can ignore scale altogether. Industry Perspectives'
CTOvision
MAY 23, 2014
We previously wrote about the Pentaho Big Data Blueprints series, which include design packages of use to enterprise architects and other technologists seeking operational concepts and repeatable designs. Save data costs and boost analytics performance. An intuitive graphical, no-coding big data integration.
CTOvision
JULY 9, 2014
The term “Big Data” has become synonymous with this evolution. But still, many of our customers continue to ask, “What is Big Data?”, “What are its use cases?”, What is Big Data? The data is too big, moves too fast, or does not fit the structures of your database architectures.
Data Center Knowledge
FEBRUARY 25, 2014
Silicon Valley startup A3Cube emerged from stealth mode today, and is looking to introduce a dramatic shift in network architecture, built atop a "brain inspired" design for PCIe network cards. Big Data HPC Networking a3cube'
CTOvision
JUNE 17, 2014
It it he analyzes the Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science. We update our analysis of Top 30 LinkedIn Groups for Analytics, Big Data, Data Mining, and Data Science (Dec 2013) and find several interesting trends. Big Data and Analytics: 74,350 (100%).
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