Enterprise data warehouse management News
December 02, 2016
Amazon's Athena data engine brings interactive SQL queries to S3. It's based on an open source framework 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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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
Billions of IoT devices means there's a lot of data to process. Start crafting edge computing strategies now to lessen the impact on your network, advises an expert. Continue Reading
A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses. Continue Reading
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C-suite honchos sign off on analytics tool purchases and then wonder what they've wrought. But data trust can build if practitioners make the analytics process more transparent, consultant Bill Nowacki says. Continue Reading
Ted Hills, an enterprise architect at LexisNexis and the author of a recent book on NoSQL data modeling, discusses the ins and outs of database schema design in an era of big data disruption. Continue Reading
Oracle IaaS is joining its SaaS and PaaS efforts as it tries to gain share in the cloud. Consultancy Accenture is helping with a database performance lab and managed services. Continue Reading
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A move to fast data analytics and real-time processing could bring change to the big data pipeline. Microservices are edging into a mostly monolithic Hadoop domain. Continue Reading
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
Organizations aren't letting ongoing Apache Spark development, functionality holes or issues deter them from ramping up usage of the technology. Find out why. Continue Reading
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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
Big data environments based on technologies such as Hadoop and Spark are being deployed more widely -- and the same goes for advanced analytics tools that can help organizations make effective use of the data flooding into those systems. In fact, ... Continue Reading