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7 technology trends to watch in 2018

As we say goodbye to 2017, here’s my take on important tech trends worth keeping your eye on in the year ahead

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What is Apache Spark? The big data analytics platform explained

Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning

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All your streaming data are belong to Kafka

Apache Kafka continues its ascent as attention shifts from lumbering Hadoop and data lakes to real-time streams

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12 'hot' technologies not living up to the hype

A dozen technologies that will disappoint you soon, if they aren't disappointing you already

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The siren song of Hadoop

Hadoop provides power and versatility for data scientists, at the cost of complexity.

App dev trends going hot -- and cold

21 hot programming trends—and 21 going cold

Hot or not? From the web to the motherboard to the training ground, get the scoop on what's in and what's out in app dev

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Harness Hadoop and Spark for user-friendly BI

Datameer aligns the power of open source big data technologies with the needs of business users, not specialists

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Hadoop finds a happier home in the cloud

All the excitement about big data and the Hadoop ecosystem -- yet so few enterprise initiatives panned out. Lifting the ecosystem to the cloud changes everything

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Hadoop vendors make a jumble of security

That's both good and bad news, as big data security management is tough with the current lack of standardization

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Apache Eagle keeps an eye on big data usage

This Apache Software Foundation project uses machine intelligence to probe, alert, and report back on behaviors of Hadoop users and clusters

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Attackers start wiping data from CouchDB and Hadoop databases

After MongoDB and Elasticsearch, attackers are looking for new database storage systems to attack

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Devs will lead us to the big data payoff at last

Enterprises have gotten little satisfaction from their early adventures in big data, so developers are charting their own course in the cloud

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10 things you need to worry about in 2017

It's time for our annual ritual: Burn some incense, peer into the dark, and fret about the future

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Hadoop, we hardly knew ye

Once, Hadoop was synonymous with big data. Now, Spark and cloud services are riding high as Hadoop heads off into the sunset

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Tame unruly big data flows with StreamSets

See how the free open source StreamSets Data Collector brings visibility and control to real-time streaming data

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Fire up big data processing with Apache Ignite

Apache Ignite brings RDBMS, NoSQL, and Hadoop data sets into memory to deliver huge performance gains

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Big data face-off: Spark vs. Impala vs. Hive vs. Presto

AtScale, a maker of big data reporting tools, has published speed tests on the latest versions of the top four big data SQL engines. Conclusion: Time to upgrade!

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7 big data tools to ditch in 2017

You think you got the hang of big data analytics? There's no time to be smug. To deliver real value, you'd better keep your stack up to date

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