Hadoop
Hadoop news, information, and how-to advice
Dawn of intelligent applications
The future is intelligent applications. Learn how companies are shifting from big data to intelligent application approaches
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
Deep Dive
Download the Hadoop Deep Dive
Businesses are using Hadoop across low-cost hardware clusters to find meaningful patterns in unstructured data. In this in-depth PDF, InfoWorld explains how Hadoop works and how you can reap its benefits
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
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
12 'hot' technologies not living up to the hype
A dozen technologies that will disappoint you soon, if they aren't disappointing you already
The siren song of Hadoop
Hadoop provides power and versatility for data scientists, at the cost of complexity.
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
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
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
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
Attackers start wiping data from CouchDB and Hadoop databases
After MongoDB and Elasticsearch, attackers are looking for new database storage systems to attack
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
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
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
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
Fire up big data processing with Apache Ignite
Apache Ignite brings RDBMS, NoSQL, and Hadoop data sets into memory to deliver huge performance gains
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!
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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