AWS big data and data analytics News
June 08, 2016
AWS IoT is a serious contender in the emerging space of connected devices, but the market presents a different set of challenges for Amazon's cloud business.
December 30, 2015
Cloud customers keep their ears to the ground to keep up with new AWS information, particularly when it comes to service issues. These five news stories were most popular on SearchAWS in 2015.
September 23, 2015
The Amazon Redshift data warehouse can now perform functions that users have clamored for since 2013.
September 15, 2015
Several surveys point to big data analytics as an object of fascination to enterprises in the cloud. With several tools to process data, AWS intends to meet that need.
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Developers must choose among a wealth of big data storage and processing options. The effort is worth the time spent, as the tool makes all the difference in effective BI management. Continue Reading
Stored data has plenty of value to enterprises. And AWS has a suite of big data analytics tools for managing and processing those workloads. Continue Reading
Amazon QuickSight is an Amazon Web Services utility that allows a company to create and analyze visualizations of its customers' data. Continue Reading
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AWS made an unexpected play into the gaming market with Amazon Lumberyard. And AWS' future successes could depend on other market expansions. Continue Reading
Database replication can speed query performance. But to get it right, developers must understand all the components involved with Amazon Redshift and MySQL. Continue Reading
Developers turn to Hadoop for big data workloads, and Spark is a particularly enticing Hadoop service on AWS. Spark teams up with Elastic MapReduce for fast processing and versatility. Continue Reading
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Intuit sees private and public cloud as a dynamic analytics duo that can quickly scale systems, control computing power and test planned changes to its website. Continue Reading
AWS customers waited years for support for user-defined functions in Redshift. Now they can use Python and other languages to manipulate data in SQL statements. Continue Reading
Enterprises interested in AWS Machine Learning should follow these four steps to successfully create machine learning applications. Continue Reading