Resource Library

Cloudera offers a variety of materials on big data consolidation, storage and processing. The library includes high-level overviews as well as detailed information on Apache Hadoop and the surrounding ecosystem.

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    O'Reilly eBook: Cloudera Impala
    • Monday, Oct 14 2013
    • File Type: .PDF
    • Category: Document, CDH, About Cloudera
    Learn about Cloudera Impala––an open source project that's opening up the Apache Hadoop software stack to a wide audience of database analysts, users, and developers. The Impala massively parallel processing (MPP) engine makes SQL queries of Hadoop data simple enough to be accessible to analysts familiar with SQL and to users of business intelligence tools––and it’s fast enough to be used for interactive exploration and experimentation.
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    Intel & Cloudera Make Big Data Analytics Possible
    • Friday, May 29 2015
    • Category: Video, About Cloudera
    Intel CIO Kimberly Stevenson explains how together, Cloudera and Intel are paving the way for the next era of computing, empowering businesses to place big data analytics at the forefront of their strategies to move faster and more efficiently than competition. Intel and Cloudera are enabling businesses of every industry to solve untapped market challenges and deliver new industry leading profitability.
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    Charlie Rose and Jeff Hammerbacher talk Data Science in Healthcare
    • Thursday, Feb 28 2013
    • Category: Video, About Cloudera, Big Data, Healthcare & Life Sciences, Genome processing & DNA sequencing, Case Studies
    In this interview that aired on March 22, 2013, Cloudera’s Chief Scientist Jeff Hammerbacher offers fascinating insights into the origins of Big Data and data science techniques, their re-implementation into open source, and their positive application across science as well as business.
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    Growing Your Inbox, HBase at Tumblr
    • Monday, May 14 2012
    • Category: HBaseCon, Video
    In this talk I’ll go into detail about Tumblr’s experience developing Motherboy, an eventually consistent inbox style storage system built around HBase.
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    HBaseCon 2013 | 1500 JIRAs in 20 Minutes
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation's Ian Varley covers the most interesting commits from the past year at a pace that will make your head spin.
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    HBaseCon 2013 | Apache HBase at Pinterest -- Scaling Our Feed Storage
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    At Pinterest, we have been increasingly using HBase for a variety of applications – real-time, interactive, and batch oriented. In this talk, Pinterest's Varun Sharma discusses its experience with architecting and scaling our Feed storage on HBase. “Feeds” are central to user experience at Pinterest and lie on a critical path for user requests.
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    HBaseCon 2012 | Content Addressable Storages for Fun and Profit
    • Wednesday, May 30 2012
    • Category: Video, HBaseCon
    Understand why content addressable storage is the right pattern for many web use cases, how to foster an already existing HBase cluster for better usage of possibly underutilized resources, and operational gotchas to store and serve BLOBs from HBase at scale.
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    HBaseCon 2012 | General Session - Michael Stack and Mike Olson
    • Tuesday, Jun 19 2012
    • Category: HBaseCon, Video
    Michael Stack, HBase champion, and Mike Olson, Cloudera CEO, kick off the day by providing an overview of the sessions and some interesting history on how HBase got started.
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    HBaseCon 2012 | Real-Time and Batch HBase for Healthcare at Explorys
    • Friday, Jun 15 2012
    • Category: HBaseCon, Video
    Understand how Explorys leverages HBase and the Hadoop stack to power the next generation of Enterprise Performance Management for Healthcare.
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    HBaseCon 2012 | Supporting HBase: How to Stabilize, Diagnose, and Repair
    • Tuesday, Jun 19 2012
    • Category: HBaseCon, Video
    Understand the common symptoms and causes of poor HBase cluster health and the challenges faced by administrators in diagnosing issues and finding root cause.