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AWS big data and data analytics News
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.
June 24, 2015
Amazon services produce an avalanche of log data. How can IT pros sort that data into actionable information?
AWS big data and data analytics Get Started
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Last year AWS announced a variety of new container and serverless computing options. But what will be hot in 2016? Our experts took a look at which AWS technologies will evolve this year. Continue Reading
Amazon Machine Learning is an Amazon Web Services product that allows a developer to discover patterns in end-user data through algorithms, construct mathematical models based on these patterns and then create and implement predictive applications. Continue Reading
Amazon Mobile Analytics is an Amazon Web Services (AWS) product that allows a developer to collect and analyze mobile application usage data. Continue Reading
Evaluate AWS big data and data analytics Vendors & Products
Weigh the pros and cons of technologies, products and projects you are considering.
Few businesses have the capital or infrastructure to successfully operate an Internet of Things back end. AWS IoT handles the hard work to enable cloud connectivity to real-world objects. 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
Data migration can be challenging, whether moving from on premises to cloud environments or vice versa. But these AWS techniques ease that process. Continue Reading
Manage AWS big data and data analytics
Learn to apply best practices and optimize your operations.
Enterprises interested in AWS Machine Learning should follow these four steps to successfully create machine learning applications. Continue Reading
What is a machine learning service and how does it differ from big data applications? And how can our company benefit from AWS Machine Learning? Continue Reading
Facebook and LinkedIn use graph databases for social applications. But enterprises should look into how a database like Titan can work with AWS. Continue Reading