Hadoop framework News
March 08, 2017
Application profiling software from Pepperdata is built on LinkedIn's Dr. Elephant open source entry. A primary goal is to get more Hadoop and Spark applications into production.
February 21, 2017
Moving custom Spark and Hadoop pilot projects into production use has proved daunting. But container technology eased the transition at the Advisory Board analytics service.
February 16, 2017
Spark Streaming architecture to date has focused much on programming perks. Now, as a bit of a hedge against other streaming choices, Drizzle comes to bat to cut streaming latency.
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.
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Big data architectures typically involve multiple processing platforms. In this essential guide, you'll find information and advice on managing Hadoop, Spark and other big data technologies. Continue Reading
Apache Spark is an open-source parallel processing framework that enables users to run large-scale data analytics applications across clustered systems. Continue Reading
Apache Flink is an in-memory and disk-based distributed data processing platform for use in big data streaming applications. Continue Reading
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Gartner analyst Merv Adrian discusses why organizations often have trouble with deployments of Hadoop-based big data architectures, and how to avoid the challenges they pose. Continue Reading
In this Talking Data podcast, Spark users are finding that latency and development challenges can make it difficult to start doing machine learning with Spark systems. 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
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Distributed data lakes with Hadoop clusters and other systems create new data management and governance needs that are hard to meet with existing tools, says IT analyst Mike Ferguson. Continue Reading
For an open source strategy to work, applications based on big data ecosystem components must be hardened to run in production. DevOps could be an important part of that. Continue Reading
It's time for big data systems to prove their business value, consultant Andy Hayler says. He also sees growing roles for IoT, the cloud and machine learning in the data management process. 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
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