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 | Using Apache HBase for Large Matrices
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Dilisim's Gokhan Capan describes HBase-backed versions of Mahout matrices that allow easy access and manipulation of matrix elements, do common matrix operations, and input persistent matrices to existing machine learning algorithms.
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    HBaseCon 2013 | Near Real Time Indexing for eBay Search
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    eBay search powers search on the ebay.com website and is in the critical path of eBay’s user experience and revenue. Sellers and buyer are continuously updating the underlying data ecosystem and the Search system has to process these changes in near real time so that the search results can reflect the updated reality and provide a good user experience. Here Swati Agarwal and Raj Tanneru of eBay talk about eBay’s new search indexing platform and in particular the near real time indexing platform.
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    HBaseCon 2012 | Relaxed Transactions for HBase
    • Thursday, Jun 07 2012
    • Category: HBaseCon, Video
    Understand the implementation of Revision Manager using ZooKeeper and coprocessors, and paying extra care to ensure security in multi-tenant clusters.
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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 | Apache HBase Replication
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Twitter's Chris Trezzo gives a brief user tutorial of replication, looks at a few example use cases, explores the high-level core architecture, and takes a detailed look at implementation.
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    HBaseCon 2013 | Evolving a First-Generation Apache HBase Deployment to Second Generation and Beyond
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    Explorys has been using HBase and Hadoop since HBase 0.20. Here Doug Meil walks through lessons learned over years of usage from its first HBase implementation through a series of upgrades and changes, including impacts to schema design, data loading, data indexing, data access and analytics, and operational processes.
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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 | Real-Time Model Scoring in Recommender Systems
    • Thursday, Jun 13 2013
    • Category: HBaseCon, Video, Presentation
    WibiData's Jon Natkins and Juliet Hougland discuss how developers can use Apache HBase and Kiji to develop low-latency predictive models, using algorithms like clustering or collaborative filtering, and how to leverage those models in the context of a full application.
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    HBaseCon 2012 | Developing Real Time Analytics Applications Using HBase in the Cloud
    • Monday, Jun 18 2012
    • Category: HBaseCon, Video
    Sproxil provides a versatile analytics application enabling customers to handpick statistics on demand to gain market insights enabling them react quickly to trends.