Hadoop

Hadoop news, information, and how-to advice

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How to get your mainframe's data for Hadoop analytics

IT's mainframe managers don't want to give you access but do want the mainframe's data used. Here's how to square that circle

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HDFS: Big data analytics' weakest link

Hadoop's distributed file system isn't as fast, efficient, or easy to operate as it should be

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Prioritize predictable performance in Hadoop

Organizations running Hadoop in production can ensure that high-priority jobs complete on time, every time

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The next steps for Spark in the cloud

Simply having Spark in the cloud isn't enough. What matters is what it can connect to and how easy it is to use

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Had it with Apache Storm? Heron swoops to the rescue

Heron, Twitter's brand-new streaming replacement for Apache Storm, offers easier scaling and higher throughput while maintaining Storm code compatibility

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Businesses harbor big data desires, but lack know-how

A fresh survey shows that while more companies are investing in big data, putting the results of all that processing to use remains dicey

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Dear Silicon Valley: Stop saying stupid stuff

Silicon Valley has its head so far in the future it can't hear the laughter in response to its over-the-top pronouncements

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Redis plants the seeds for an open source ecosystem

Redis Modules help the caching and in-memory storage system work with new data structures and database behaviors

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HBase: The database big data left behind

As the default database for Hadoop, you'd expect HBase to be more popular than it is, but its time may already have passed

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Apache Spark powers live SQL analytics in SnappyData

The same team that created GemFire builds on Spark in a new open source database that can analyze OLTP and OLAP workloads side-by-side

Data lakes 101: Come on in, the water's fine

How to plan for and build a central hub for data analytics with the ever-evolving Hadoop ecosystem

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Apache Beam wants to be uber-API for big data

New, useful Apache big data projects seem to arrive daily. Rather than relearn your way every time, what if you could go through a unified API?

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What Spark's Structured Streaming really means

Thanks to an impressive grab bag of improvements in version 2.0, Spark's quasi-streaming solution has become more powerful and easier to manage

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Review: Databricks makes big data dreams come true

Cloud-based Spark machine learning and analytics platform is an excellent, full-featured product for data scientists

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Hadoop project ODP regroups under Linux Foundation's umbrella

The Open Data Platform's reorg aims to assuage criticism about vendor control over the initiative to create a consistent baseline Hadoop distribution

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SAP's HANA Vora bridges divide between enterprise and Hadoop data

The SAP HANA Vora software is designed to allow companies to analyze data stored in Hadoop, enterprise systems and other distributed data sources

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Apache Flink 1.0 takes on Spark in Hadoop processing

Hadoop needs fast and easy-to-use stream processing, and Flink provides that -- but it'll compete with Spark and Storm

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MapR invites Docker and Mesos to its big data party

MapR's updated Hadoop distribution provides persistent storage for Dockerized apps, enables Hadoop jobs governance via Mesos

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