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Hadoop framework News
February 22, 2018
In big data news, we find Google TPUs, or Tensor Processing Units, offered as a cloud service, while LinkedIn is open sourcing a Hadoop test simulator called Dynamometer.
January 03, 2018
Is this the post-Hadoop era? Not in the eyes of Hadoop 3.0 backers, who see the latest update to the big data framework succeeding in machine learning applications and cloud systems.
December 01, 2017
Born at Cloudera, the MPP query engine known as Apache Impala has become a top-level open source project. It's one of various tools bringing SQL-style interactivity to big data analytics.
September 28, 2017
The Strata conference in New York saw big data platform vendor MapR Technologies update MapR-DB, its NoSQL database engine, to better perform in real-time analytics applications.
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Data lakes pose technology deployment and data management challenges that can leave analytics users high and dry if the implementation process isn't handled properly. Continue Reading
Hadoop data lakes offer a new home for legacy data that still has analytical value. There are different ways to convert it for use in Hadoop depending on your analytics needs. Continue Reading
A Hadoop data lake is a data management platform comprising one or more Hadoop clusters. Continue Reading
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Understanding the data integration process is central to self-service BI and data architecture design, consultant Rick Sherman says in an end-of-year look at data management trends. Continue Reading
As part of its Big Data Cloud Service, Oracle provides a set of internal and external tools designed to help users efficiently deploy and manage Hadoop-based big data systems. Continue Reading
The NewSQL database was almost hidden when Hadoop and NoSQL arose. Now, as more big data teams move toward production uses, MemSQL, Cloud Spanner and similar products may get a second look. Continue Reading
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Today, analytics work is about speed. That means rapidly building clusters and transforming and querying data. Learn how users are streamlining digital business. Continue Reading
In some regards, the term big data management can be viewed as an oxymoron. In fact, oxymorons abound in this industry and society -- virtual reality, artificial intelligence, science fiction and awfully good, the ... Continue Reading
Businesses spend millions of dollars to collect, mine, prep and analyze data to gain an edge in the marketplace. Yet, they have a hard time determining big data's actual value. Continue Reading
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Flooding a Hadoop cluster with data that isn't organized and managed properly can stymie analytics efforts. Take these steps to help make your data lake accessible and usable. Continue Reading
In the era of more and more digital orders, Panera Bread encountered big data challenges that led the restaurant chain to deploy a new cluster architecture with Hadoop, Spark and other technologies. Continue Reading
This Essential Guide explores enterprise data analytics strategies and how to select the right infrastructure, management tactics and technologies for your organization. Continue Reading