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Hadoop framework News
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.
September 26, 2017
ETL jobs -- once the sole province of IT -- take on a new form as data wrangling and self-service gain greater traction with business users of analytics.
August 31, 2017
SQL on Hadoop arrived -- so did SQL on Spark. Now, SQL on Kafka is emerging to provide a different way to look at Kafka data as it streams through the enterprise.
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There are good reasons to move big data systems to the cloud, but doing so also poses challenges for IT teams on migrating workloads and then managing clusters and system instances. 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
Apache Spark is an open source parallel processing framework for running large-scale data analytics applications across clustered computers. It can handle both batch and real-time analytics and data processing workloads. Continue Reading
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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
Has the Hadoop elephant left the room? At NBC, ad analytics have evolved in Hadoop style, but with Spark and S3 at the core, as discussed at the Big Data Innovation Summit in Boston. 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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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
Data management teams are asking more questions about data security, Gartner analyst Merv Adrian says in a Q&A. But new factors are complicating the process of securing databases, he adds. Continue Reading
Moving relational data into Hadoop isn't a slam dunk. To avert programming complexities, a major Texas university turned to commercial tools to stock its Hadoop data lake. Continue Reading