hbase
  • Introduction
  • Concepts
  • Hbase Architecture
    • Region servers
      • Regions
      • HFile
      • WAL(HLog)
      • How the Components Work Together
      • BlockCache
      • Region Split
      • Store(HStore OR Memstore))
      • HBase Region Flush
    • Special Tables ROOT , META
    • Fault Tolerance( Failover)
    • Data Locality
    • ZooKeeper: The Coordinator
    • HBase HMaster
    • Read Load Balancing
    • HBase Minor Compaction
    • HBase Major Compaction
    • HBase Read Merge
  • Queries
  • HBase Shell
    • Guide Lines
    • overview-example
  • HBase Read
  • HBase Write
  • Known Use Cases
  • HBase Data Model
  • References
  • Hands on
  • Case Studies
  • Notes
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Known Use Cases

OpenTSDB

    • The Scalable Time Series Database runs on the top of HBase used for storing massive amount of time series data

  • StumbleUpon

    • Uses HBase to make the best recommendations, since it has to manage a lot of user signals. Every thumb-up, stumble, and share (among other feedback from users) is stored.

  • Mozilla

    • For managing crash reports etc.

  • Adobe

    • Using HBase in several areas from social services to structured data and processing for internal use.

  • Explorys

    uses an HBase cluster containing over a billion anonymized clinical records, to enable subscribers to search and analyse patient populations, treatment protocols, and clinical outcomes.

  • Facebook

    uses HBase to power their Messages infrastructure.

  • Openlogic

    stores all the world ’s Open Source packages, versions, and analytical purposes. files, and lines of code in HBase for both near-real-time access

  • Openplaces

    is a search engine for travel that uses HBase to store terabytes of web pages and travel-related entity records.

  • Powerset (a Microsoft company)

    uses HBase to store raw documents. - Shopping Engine at Tokenizer is a web crawler; it uses HBase to store URLs and Outlinks (more than a billion).

  • Tracker

    uses HBase to store and serve online influencer data in real—time. They use MapReduce to frequently re-score their entire data set as they keep updating inf luencer metrics on a daily basis.

  • Twitter

    runs HBase across its entire Hadoop cluster. HBase provides a distributed, read/write backup of all mysql tables in Twitter's production backend, allowing engineers to run MapReduce jobs over the data while maintaining the ability to apply periodic row updates

  • WorldLingo

    • The WorldLingo Multilingual Archive use HBase to store millions of documents that they scan using Map/Reduce jobs to machine translate them into all or selected target languages from their set of available machine translation languages.

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Last updated 5 years ago

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