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.

  1. /content/cloudera/en/resources/library/hbasecon2014/hbase-backups---operations-session-5/jcr:content/mainContent/resourcecomponent.img.jpg/1405465878235.jpg
    Operations Session 5 - HBase Backups
    • Monday, Jun 16 2014
    • Category: Presentation, Video, HBaseCon
    This talk provides an overview of enterprise-scale backup strategies for HBase: Jesse Yates will describe how Salesforce.com runs backup and recovery on its multi-tenant, enterprise scale HBase deploys; Demai Ni, Songqinq Ding, and Jing Chen of the IBM InfoSphere BigInsights development team will then follow with a description of IBM's recently open-sourced disaster/recovery solution based on HBase snapshots and replication.
  2. /content/cloudera/en/resources/library/hbasecon2014/real-time-hbase--lessons-from-the-cloud---operations-session-3/jcr:content/mainContent/resourcecomponent.img.jpg/1405465841711.jpg
    Real-time HBase: Lessons from the Cloud - Operations Session 3
    • Monday, Jun 16 2014
    • Category: HBaseCon, Presentation, Video
    Running HBase in real time in the cloud provides an interesting and ever-changing set of challenges -- instance types are not ideal, neighbors can degrade your performance, and instances can randomly die in unanticipated ways. This talk will cover what HubSpot has learned about running in production on Amazon EC2, how to handle DR and redundancy, and the tooling the team has found to be the most helpful.
  3. /content/cloudera/en/resources/library/hbasecon2014/tales-from-the-cloudera-field---operations-session-4/jcr:content/mainContent/resourcecomponent.img.jpg/1405465861861.jpg
    Tales from the Cloudera Field - Operations Session 4
    • Monday, Jun 16 2014
    • Category: Presentation, HBaseCon, Video
    From supporting the 0.90.x, 0.92, 0.94, and 0.96 HBase installations on clusters ranging from tens to hundreds of nodes, Cloudera has seen it all. Having automated the upgrade paths from the different Apache releases, we have developed a smooth path that can help the community with upcoming upgrades. In addition to automation best practices, in this talk you'll also learn proactive configuration tweaks and operational best practices to keep your HBase cluster always up and running. We'll also walk through how to contain an application bug let loose in production, to minimize the impact on HBase posed by faulty hardware, and the direct correlation between inefficient schema design and HBase performance.
  4. /content/cloudera/en/resources/library/hbasecon2014/Harmonizing-Multi-Tenant-HBase-Clusters-for-Managing-Workload-Diversity/jcr:content/mainContent/resourcecomponent.img.jpg/1405465783974.jpg
    HBaseCon 2014 | Harmonizing Multi-tenant HBase Clusters for Managing Workload Diversity -Operations Session 1
    • Thursday, Jun 05 2014
    • Category: HBaseCon, Video, Presentation
    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.
  5. /content/cloudera/en/resources/library/hbasecon2014/a-survey-of-hbase-application-archetypes-ppt/jcr:content/mainContent/resourcecomponent.img.png/1405466871310.png
    A Survey of HBase Application Archetypes
    • Monday, May 05 2014
    • Category: HBaseCon, Video, Presentation
    This talk presents these archetypes and others based on a use-case survey of clusters conducted by Cloudera's development, product, and services teams.
  6. /content/cloudera/en/resources/library/hbasecon2014/hbasecon-2014-general-session/jcr:content/mainContent/resourcecomponent.img.jpg/1405466885061.jpg
    HbaseCon 2014 General Session
    • Monday, May 05 2014
    • Category: Video, HBaseCon, Presentation
    The General Session of HBaseCon 2014, including introductions from Michael Stack and Amr Awadallah of Cloudera and talks by Carter Page of Google, Liyin Tang of Facebook (not recorded), and Lars Hofhansl of Salesforce.com
  7. /content/cloudera/en/resources/library/hbasecon2014/hbase--just-the-basics/jcr:content/mainContent/resourcecomponent.img.jpg/1405466900569.jpg
    HBase: Just the Basics
    • Monday, May 05 2014
    • Category: Video, Presentation, HBaseCon
    A brief Cliff's Notes-level talk covering architecture, API, and schema design
  8. /content/cloudera/en/resources/library/hbasecon2014/hbase-design-patterns---yahoo--/jcr:content/mainContent/resourcecomponent.img.jpg/1405106048303.jpg
    HBase Design Patterns @ Yahoo!
    • Monday, May 05 2014
    • Category: Presentation, Video, HBaseCon
    This talk reviews some recurring HBase design patterns at Yahoo! and shares some learnings and experiences.
  9. /content/cloudera/en/resources/library/hbasecon2014/tasmo--building-hbase-applications-from-event-streams-ppt/jcr:content/mainContent/resourcecomponent.img.png/1405466429343.png
    Tasmo: Building HBase Applications From Event Streams
    • Monday, May 05 2014
    • Category: HBaseCon, Presentation Slides
    Tasmo is a system that enables application development on top of event streams and HBase.
  10. /content/cloudera/en/resources/library/hbasecon2014/taming-hbase-with-apache-phoenix-and-sql-ppt/jcr:content/mainContent/resourcecomponent.img.png/1405466412113.png
    Taming HBase with Apache Phoenix and SQL
    • Monday, May 05 2014
    • Category: HBaseCon, Presentation Slides
    Come learn about the fundamentals of 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.