Intel

Coffee with Cloudera Partners: Intel

Meet Angela Gill and Gina Mcfarland, the powerhouse duo leading the Intel/Cloudera relationship. Angela brings technical expertise, while Gina drives the business strategy. By bringing together Intel, a world leader in computing innovation, and Cloudera, the leader in enterprise analytic…
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Dell and Cloudera Partner for Memory Intensive Workloads

When Hadoop was first introduced, its selling points were its scalability, its ability to process all types of data in high volume, and its great economics. While data processing speed was important, there were little demands for real-time performance in…
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Our Commitment to Accelerating Apache Spark

When Cloudera became the first vendor to ship and support Apache Spark in February 2014, Spark was already well on its way toward becoming the framework of choice for faster batch processing, machine learning, advanced analytics, and stream processing. Today…
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Cloudera 5.2: Hadoop Innovation without Compromise

One year ago, we announced Cloudera’s vision for the enterprise data hub – a unified platform built on Hadoop to store and process all your data (in any format), with the security, management, and governance needed for production deployment. Our…
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Big Data in Austin, Dell World 2014

I am just on my way back from spending a few days at Dell World and I can tell you that there were three things on the minds of the conference attendees: BBQ, music, and big data. Yes, that’s right,…
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Pervasive Analytics Gets Real

Earlier this month I had the pleasure of hosting a webinar with Mike Gualtieri of Forrester, Ron Kasabian of Intel, and our very own Ryan Goldman of Cloudera. During the webinar they discussed the strategy of pervasive analytics and how…
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Why Smart Utilities Need Hadoop

The following was originally published on the Grid Insights by Intel energy blog. Utilities are generating more data than ever before. Smart meters, SCADA equipment, transformer meters and other sensors on the distribution grid are generating hundreds of millions of…
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