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 | OpenTSDB at Box
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    This video discusses how to leverage data through HBase and why the implementation in your company would be strategic.
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    HBaseCon 2013 | Scalable Network Designs for Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Based on production experience with HBase since 2009, as well as recent benchmark results, this talk from Arista Network's Benoit Sigoure take you through network designs and optimizations for HBase, as well as possible ways to make the network work better for Apache Hadoop/HBase.
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    HBaseCon 2013 | General Session with Amr Awadallah
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Amr comments on the explosion of interest in Apache HBase over the past few years, how that interest has influenced the Hadoop stack overall, and why Cloudera considers its involvement in the HBase community to be so important.
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    HBaseCon 2013 | Impala - Using SQL to Extract Value from Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Cloudera's Elliott Clarke walks through getting data into Impala through HBase, running queries on data in HBase and HDFS, and writing computed data into tables stored on HBase.
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    HBaseCon 2013 | How (and Why) Phoenix Puts the SQL Back into NoSQL
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    James Taylor of Salesforce.com focuses on answering: 1) why put a SQL skin on top of HBase? and 2) how does Phoenix marry the SQL paradigm with NoSQL?
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    HBaseCon 2013 | Apache Drill - A Community-driven Initiative to Deliver ANSI SQL Capabilities for Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    This session from MapR's Jacques Nadeau provides an overview of Apache Drill that delivers full ANSI SQL capability for HBase users.
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    HBaseCon 2013 | ETL for Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Experian sends 700+ million emails daily, which it analyzes in real time to see campaign performance and create new segments. Experian’s ETL framework can source data from various systems, transform it, and persist in HBase. Experian's Manoj Khanwalkar and Govind Asawa explain the details here.
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    HBaseCon 2013 | Apache Hadoop and Apache HBase for Real-Time Video Analytics
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    LongTail Video recently launched a real-time video analytics service on top of Hadoop and HBase running on Amazon’s AWS cloud. In this talk, LongTail's Suman Srinivasan discusses its architecture, specifically how it uses Hadoop for real-time analytics by processing data in frequent batches, and its experience with HBase for ingesting millions of aggregate data points and providing real-time results.
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    HBaseCon 2013 | Rebuilding for Scale on Apache HBase
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Simply Measured originally built out its entire data storage platform on MongoDB. Things seemed rosy for a while, but they were crumbling at the edges. Here Rob Roland covers why it chose HBase, how it integrated HBase with the least amount of downtime and impact to our customers, the financial costs of this migration, and where it's going in the future with it.
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    HBaseCon 2013 | Deal Personalization Engine with HBase @ Groupon
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    As Groupon's Ameya Kantikar explains, HBase now powers most of the backend technology for real time delivery of “deal” experience across all platforms, as well as powers our batch clusters for consolidated user data. We have over 40 billion data points in our HBase clusters.