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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    HBaseCon 2013 | Panel: Apache HBase Operations (Moderated by Eric Sammer)
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    This panel covers best practices from the operators of world-class HBase deployments. Panelists: Jeremy Carroll, Pinterest Dave Latham, Flurry Alex Levchuk, Facebook Rajiv Chittajallu, Yahoo! Moderator: Eric Sammer, Cloudera
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    HBaseCon 2013 | Compaction Improvements in Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Compactions are a critical aspect of HBase storage design, yet they are frequently a pain point in cluster management, affecting the availability and requiring manual tuning. This talk from Hortonworks' Sergey Shelukhin provides a brief overview of existing HBase compaction algorithm, the problems it encounters in specific data scenarios and in normal operation, as well as improvements recently made to it.
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    HBaseCon 2013 | Apache HBase, Meet Ops. Ops, Meet Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    It is important when looking at rolling out Big Data infrastructure, especially HBase, to have your Operations team onboard. The Ops team will also need an understanding of red flags to watch for as the deployment moves from development to a production. This talk will help you with introducing HBase to your Ops team, mapping their current knowledge to the technology stack, and giving them a head start on supporting HBase in a production environment.
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    HBaseCon 2013 | A Developer’s Guide to Coprocessors
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    John Weatherford talks specifics on a developers guide to coprocessors. Weatherford begins by giving a background of Telescope and how HBase's impact has meant for their company.
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    The Cloudera Forum: Unaccept the Status Quo
    • Tuesday, Jun 04 2013
    • Category:
    With the emergence of Apache Hadoop, the center of gravity in the data center has begun to shift. Watch this video stream to learn how Cloudera has begun to transform the way enterprises look at their data centers.
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    Cloudera Data Analyst Training: Using Pig, Hive, and Impala with Hadoop
    • Tuesday, Jun 04 2013
    • File Type: .PDF
    • Category: Document, About Training, Data Sheets
    Cloudera University’s three-day data analyst training course focusing on Apache Pig and Hive and Cloudera Impala will teach you to apply traditional data analytics and business intelligence skills to Big Data.
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    MicroStrategy on Hadoop using Cloudera Impala Demo
    • Thursday, May 23 2013
    • Category: Cloudera Enterprise, Video, Product Demos
    Using MicroStrategy we import data, perform joins of data sets, and build a query without coding. Then we build a visual dashboard that best represents the results of our query.
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    Impala Unlocks Interactive BI on Hadoop
    • Thursday, May 23 2013
    • Category: Cloudera Enterprise, Video, Recorded Webinars, Product Demos
    Cloudera and MicroStrategy share how Impala works, how it is uniquely architected to provide an interactive SQL experience native to Hadoop, and provide a short demo of how you can leverage the power of MicroStrategy 9.3.1.
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    Impala Unlocks Interactive BI on Hadoop
    • Thursday, May 23 2013
    • Category: Cloudera Enterprise, Presentation Slides, Presentation, Recorded Webinars
    Cloudera and MicroStrategy share how Impala works, how it is uniquely architected to provide an interactive SQL experience native to Hadoop, and provide a short demo of how you can leverage the power of MicroStrategy 9.3.1.
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    Cloudera Development Kit (CDK): Hadoop Application Development Made Easier
    • Tuesday, May 21 2013
    • Category: CDH, Recorded Webinars, Presentation Slides
    The CDK is both a framework and long-term initiative for documenting proven Hadoop development practices and providing helpful doc and APIs that will make Hadoop application development as easy as possible.