Hadoop

Hadoop news, information, and how-to advice

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Hadoop

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

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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

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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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Spark speeds up SQL on Hadoop in Splice Machine 2.0

Apache Spark is being used to enhance yet another third-party data processing product

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5 things we hate about Spark

Spark has dethroned MapReduce and changed big data forever, but that rapid ascent has been accompanied by persistent frustrations

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NoSQL is still the cool kid in class

Has the shine worn off NoSQL? Hardly. The NoSQL document database MongoDB in particular continues a meteoric rise in popularity

Microsoft Cloud

Who cares about Hadoop on Linux? Microsoft (yes, really)

By offering big data services in its Azure cloud on Linux, Microsoft is sending several important messages to customers

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9 developer trends you can bank on in 2016

From containers to NoSQL to Spark, here are the IT trends you can expect to persist next year

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The future of big data is very, very fast

With In-memory solutions such as Spark and NoSQL databases, systems will optimize themselves so quickly, human intervention may become superfluous

obstacles

Is it really that difficult to collect big data?

Analysts say big data projects fail to deliver on the expectations, because big data remains fraught with difficulties. Where are the difficulties remaining?

cloud computing evolution

3 key ways Hadoop is evolving

Hot themes at the Strata+Hadoop World conference reflect the shift for the big data platform

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How do enterprises really use Hadoop?

A panel session at Strata+Hadoop 2015 explores the ways enterprises are making the most of the big data platform

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