Articles
If the IoT is exposed to weaknesses, then so are enterprises that are connected to it. Here are the current challenges facing IoT security and success.
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2017 will see some major changes in the big data ecosystem, driven in part by two trends.
Both trends offer opportunities for data-driven organizations to stay ahead of the curve — but only if they take the time to do some preparation now.
1. Hadoop Gets Put to the Test – Here's How to Help It Pass
Apache Hadoop distribution vendors have crossed the
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Cloudera, MapR and the greater Hadoop ecosystem can all breathe a sigh of relief.
Santa Clara, Calif.-based big data cruncher Hortonworks is back on track after a rough quarter, beating expectations, closing a record number of deals and growing commercial clients to more than 1,000.
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Oracle founder Larry Ellison would like you to believe he isn't worried about the competition — whether it's coming from established technology industry giants like IBM, Microsoft and SAP or big data/cloud era natives like MapR, Tableau and Workday.
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You would think we'd have big data all figured out by now.
Between tools like Hadoop, Spark and Kafka, concepts like machine learning and AI, and the efforts of highly paid data scientists, that's a reasonable assumption.
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More than a thousand big data enthusiasts from all over Europe will gather at the Hadoop Summit at the Dublin Convention Center in Ireland tomorrow and Thursday to hear Hortonworks CEO Rob Bearden and other executives reveal their vision for the future of data.
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Big data crusher Hadoop turned 10 earlier this year and it seems like the birthday party Cloudera is throwing for it may never end.
It even has its own hashtag — #Hadoop10.
Hadoop co-creator Doug Cutting, who works for Cloudera, started the celebration with a blog post last January.
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Whatever industry-first announcement big data-cruncher Cloudera intends to make at its Strata + Hadoop World Conference in San Jose, Calif. tomorrow, it has just been preempted by news from the Open Data Platform Initiative (ODPi ).
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Big Data Earns its Keep
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When Hortonworks CEO Rob Bearden took questions from analysts during the company’s earnings call on Feb. 10, Barclays managing director Raimo Lenschow put him on the spot.
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Talk to Jack Norris, MapR’s newly appointed senior vice president of data and applications, and he’ll insist that MapR is the data platform of the future.
“No one else has what we have for running mission-critical applications” he told CMSWire, referring to MapR’s newly patented Converged Data Platform (CDP), which
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Quit Searching, Start Working
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Hortonworks has a new vision that not only leverages data at rest in Hadoop, data streaming in Spark and data in motion in Apache NiFi, but also data at the tipping point where data itself sets the roadmap.
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For about five hours Friday night, the Wall Street Journal made a startling prediction: “Hortonworks to Offer Proprietary Software.”
Those who follow the company, which has been emphatic in its commitment to the open source Apache Way, could hardly believe what they were reading.
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