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.
AWS big data and data analytics Get Started
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Amazon Kinesis Firehose captures and loads streaming data in storage and business intelligence tools to enable near real-time analytics in the Amazon Web Services cloud. Continue Reading
If you're confused about which data storage option is ideal for your enterprise, refer to our reference sheet on AWS tools and services. Each service features strengths and weaknesses worth considering. Continue Reading
Amazon Elasticsearch Service (Amazon ES) is an Amazon Web Services product that allows developers to launch and operate Elasticsearch -- an open-source, Java-based search and analytics engine -- in the AWS cloud. Continue Reading
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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
Creating machine learning models was once a complicated task, best left to mathematicians. But AWS and several other companies are making the technology accessible to enterprises. Continue Reading
Amazon Kinesis offers three products as part of its platform; Streams and Firehose are among them. Depending on what AWS users need to do with their big data, Kinesis likely has a service for it. Continue Reading
Manage AWS big data and data analytics
Learn to apply best practices and optimize your operations.
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