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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    Taming HBase with Apache Phoenix and SQL
    • Monday, May 05 2014
    • Category: Video, HBaseCon, Presentation
    Come learn about the fundamentals of Apache Phoenix and how it hides the complexities of HBase while giving you optimal performance, and hear about new features from our recent release, including updatable views that share the same physical HBase table and n-way equi-joins through a broadcast hash join mechanism.
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    HBase: Extreme Makeover
    • Monday, May 05 2014
    • Category: HBaseCon, Presentation Slides
    This talks introduces a totally new implementation of a multilayer caching in HBase called BigBase. BigBase has a big advantage over HBase 0.94/0.96 because of an ability to utilize all available server RAM in the most efficient way, and because of a novel implementation of a L3 level cache on fast SSDs. The talk will show that different type of caches in BigBase work best for different type of workloads, and that a combination of these caches (L1/L2/L3) increases the overall performance of HBase by a very wide margin.
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    Tasmo: Building HBase Applications From Event Streams
    • Monday, May 05 2014
    • Category: HBaseCon, Video, Presentation
    Tasmo is a system that enables application development on top of event streams and HBase.
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    Smooth Operators Panel - Operations Session 7
    • Monday, May 05 2014
    • Category: Video, Presentation, HBaseCon
    Panel discussion with speaker's from Facebook, Pinterest, and Flurry.
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    Harmonizing Multi-tenant HBase Clusters for Managing Workload Diversity - Operations Session 1
    • Monday, May 05 2014
    • Category: Presentation Slides, HBaseCon
    In early 2013, Yahoo! introduced multi-tenancy to HBase to offer it as a platform service for all Hadoop users. A certain degree of customization per tenant (a user or a project) was achieved through RegionServer groups, namespaces, and customized configs for each tenant. This talk covers how to accommodate diverse needs to individual tenants on the cluster, as well as operational tips and techniques that allow Yahoo! to automate the management of multi-tenant clusters at petabyte scale without errors.
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    The State of HBase Replication - Operations Session 2
    • Monday, May 05 2014
    • Category: Video, HBaseCon, Recorded Webinars
    HBase Replication has come a long way since its inception in HBase 0.89 almost four years ago. Today, master-master and cyclic replication setups are supported; many bug fixes and new features like log compression, per-family peers configuration, and throttling have been added; and a major refactoring has been done. This presentation will recap the work done during the past four years, present a few use cases that are currently in production, and take a look at the roadmap.
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    From MongoDB to HBase in Six Easy Months - Operations Session 6
    • Monday, May 05 2014
    • Category: Presentation, Video, HBaseCon
    Pushing well past MongoDB's limits (2TB data every week) is an interesting exercise in operational frustration. It also severely hampers flexibility of design for new use cases. This talk covers the architectural journey from MongoDB/Redis to HBase at Optimizely -- including the performance, design flexibility, speed of implementation, and other gains made. It also covers the operational setup needed to monitor and maintain the system as well as lessons learned from the migration process itself.
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    HBase at Xiaomi
    • Monday, May 05 2014
    • Category: HBaseCon, Presentation Slides
    This talk covers the HBase environment at Xiaomi, including thoughts and practices around latency, hardware/OS/VM configuration, GC tuning, the use of a new write thread model and reverse scan, and block index optimization. It will also include some discussion of planned JIRAs based on these approaches.
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    HBase: Extreme Makeover
    • Monday, May 05 2014
    • Category: HBaseCon, Video, Presentation
    This talks introduces a totally new implementation of a multilayer caching in HBase called BigBase. BigBase has a big advantage over HBase 0.94/0.96 because of an ability to utilize all available server RAM in the most efficient way, and because of a novel implementation of a L3 level cache on fast SSDs. The talk will show that different type of caches in BigBase work best for different type of workloads, and that a combination of these caches (L1/L2/L3) increases the overall performance of HBase by a very wide margin.
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    State of HBase: Meet the Release Managers
    • Monday, May 05 2014
    • Category: HBaseCon, Video, Presentation
    HBase release managers Lars Hofhansl, Andrew Purtell, Enis Soztutar, Michael Stack, and Liyin Tang jointly present highlights from their releases, and take your questions throughout.