Enterprise data warehouse management News
December 02, 2016
Amazon's Athena data engine brings interactive SQL queries to S3 data sets and lets users pay as they go. It's based on an open source framework called Presto that Teradata and others also employ.
November 30, 2016
The Louisiana Department of Health responded to flooding with the help of GIS software that located trouble spots with at-risk hospitals. Ease of use was welcome, according to a preparedness manager.
November 14, 2016
A link between Cask Data's CDAP application and integration environment and Azure HDInsight, Microsoft's Hadoop cloud service, is meant to cut development time on big data applications.
October 28, 2016
Big data is moving from its bare-metal roots, and data streaming is a driver. Containers and microservices may have a role to play in what's next. An e-commerce application shows the way.
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Data analytics (DA) is the science of examining raw data with the purpose of drawing conclusions about that information. Continue Reading
Choosing the right ETL tool for your data integration requirements can be a challenge. Here's a rundown on what to look for in ETL software and potential vendors to consider. Continue Reading
Predictive modeling is a process that uses data mining and probability to forecast outcomes. Each model is made up of a number of predictors, which are variables that are likely to influence future results. Continue Reading
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Cambridge Semantics CTO Sean Martin says better scalability can lead to richer representations of data. Such advances are behind the renewed interest in semantic technology. Continue Reading
Cloud had a big impact on big data management and analytics last year. Machine learning and streaming designs will contribute to change in 2017. Continue Reading
Ovum analyst Tony Baer discusses machine learning tools, IoT-driven streaming analytics and Hadoop in the cloud, all of which gained attention in 2016, with more likely in store for 2017. Continue Reading
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Before wading into a data lake to help with protection, it's important to analyze what you're doing with your data and its backup and disaster recovery. Continue Reading
Companies such as Yahoo, Merck, Macy's and eBay have moved to clear obstacles that were blocking the path to success with big data analytics applications. Continue Reading
Predictive modeling, machine learning and other advanced analytics applications help dig the business value out of big data systems -- but for many users, it takes a lot of tools and effort. Continue Reading
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The challenges encountered in deriving business benefits from big data are huge, but so are the rewards. Hadoop and related technologies are easing those challenges to the point where companies are willing to graduate from experimental to full-blown... Continue Reading
Hadoop and all the related technologies surrounding it enable organizations to design big data environments that meet their specific needs. But putting everything together isn't easy. Continue Reading
Internet of things networks and predictive analytics tools can help manufacturers improve product quality, increase production uptime and optimize production cycles. Continue Reading