DZone
DECEMBER 21, 2020
Applications used in the field of Big Data process huge amounts of information, and this often happens in real time. Naturally, such applications must be highly reliable so that no error in the code can interfere with data processing. It is an open-source framework for distributed processing of large amounts of data.
All Things Distributed
APRIL 27, 2011
The Amazon.com 2010 Shareholder Letter Focusses on Technology. In the 2010 Shareholder Letter Jeff Bezos writes about the unique technologies developed at Amazon.com over the years. Driving down the cost of Big-Data analytics. The Amazon.com 2010 Shareholder Letter Focusses on Technology. All Things Distributed.
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Dynatrace
OCTOBER 25, 2022
NoOps, or “no operations,” emerged as a concept alongside DevOps and the push to automate the CI/CD pipelines as early as 2010. AIOps , a term coined by Gartner in 2016, combines big data and machine learning to automate IT operations processes, including event correlation, anomaly detection and causality determination.
All Things Distributed
AUGUST 18, 2011
Driving down the cost of Big-Data analytics. The Amazon Elastic MapReduce (EMR) team announced today the ability to seamlessly use Amazon EC2 Spot Instances with their service, significantly driving down the cost of data analytics in the cloud. Driving down the cost of Big-Data analytics. Comments ().
All Things Distributed
APRIL 19, 2010
Amazon Cloudfront is Streaming Media 2010 Editors pick. By Werner Vogels on 19 April 2010 03:02 AM. I am excited that Amazon Cloudfront has been selected as one of the 10 Editors pick of 2010 by Streaming Media. Driving down the cost of Big-Data analytics. Comments (). No Server Required - Jekyll & Amazon S3.
Rigor
JANUARY 13, 2020
Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. You only have a few seconds to get compelling content onto the screen. ” – Andy King, 2003.
O'Reilly
SEPTEMBER 19, 2023
Each time, the underlying implementation changed a bit while still staying true to the larger phenomenon of “Analyzing Data for Fun and Profit.” ” They weren’t quite sure what this “data” substance was, but they’d convinced themselves that they had tons of it that they could monetize.
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