Hadoop news, information, and how-to advice

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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

data integration

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

Hortonworks sign

Use Hortonworks Hadoop? Now you can rely on a more stable core

Hortonworks Data Platform updates will happen continuously for services like Spark and Hive but just annually for core components

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Hortonworks seeks salvation in proprietary software

Once Hortonworks seemed bound and determined to pursue the 'pure' open source model. Now reality is finally setting in

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How different SQL-on-Hadoop engines satisfy BI workloads

Benchmark of SQL-on-Hadoop engines Impala, Spark, and Hive finds they each have their strengths and weaknesses when it comes to BI workloads

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Databricks offers a glimpse of Spark 2.0

Spark has taken big data by storm. What's next for the in-memory engine of choice? Spark's primary commercial backer, Databricks, offers a clue

Apache Arrow aims to speed access to big data

Apache's new project leverages columnar storage to speed data access not only for Hadoop but potentially for every language and project with big data needs

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Hadoop co-creator: Spark is great -- but people want more

Doug Cutting anticipates growth ahead and opportunities all around for the Hadoop ecosystem

Big Data analytics machine learning

Why open source is the 'new normal' for big data

Openness is driving the Hadoop ecosystem, Talend's CEO says


Forrester predicts 100% adoption of Hadoop by large enterprises

Between 60% and 73% of data currently goes unused for business intelligence and analytics. But which vendor is best to use?

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Cook up big data orchestration with Kettle

Hadoop jobs can get complicated. The open source ETL tool Kettle beats the alternatives in providing the orchestration you need


Why Spark 1.6 is a big deal for big data

Already the hottest thing in big data, Spark 1.6 turns up the heat. Here are the high points, including improved streaming and memory management

Manthan Customer360 Hadoop

Manthan targets the Hadoop-using masses with a tailored customer-analytics tool

Manthan's 'bolt-on' customer-analytics tool designed specifically for Hadoop uses Apache Spark for fast results

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16 for '16: What you must know about Hadoop and Spark right now

Amazingly, Hadoop has been redefined in the space of a year. Let's take a look at all the salient parts of this roiling ecosystem and what they mean

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10 things to worry about in 2016

Yes, it's the poignant sequel to last week's reprieve: a jolly list of worries to keep you up at night this holiday season

Big Data analytics machine learning

Five things you need to know about Hadoop v. Apache Spark

Hadoop and Apache Spark are both big-data frameworks, but they don't really serve the same purposes.

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10 things you don't need to worry about in 2016

Are you ready for 2016? Of course you aren't -- you don't even want to think about it. If you need excuses for your lack of forethought, read on

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Report: Don't believe the hype about Hadoop usage

A new survey finds customers' interest in Hadoop less important than other big data products like Spark

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