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HBase

HBase. Presented by Chintamani Siddeshwar Swathi Selvavinayakam. http:// www.slideshare.net / amansk /hbase-hadoop-day-seattle-4987041. HBase. Open source BigTable HDFS as underlying DFS ZooKeeper as lock service Tight integration with Hadoop MapReduce. Why HBase ?.

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HBase

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  1. HBase Presented by ChintamaniSiddeshwar SwathiSelvavinayakam http://www.slideshare.net/amansk/hbase-hadoop-day-seattle-4987041

  2. HBase • Open source BigTable • HDFS as underlying DFS • ZooKeeperas lock service • Tight integration with HadoopMapReduce

  3. Why HBase ? • Scales out to thousands of nodes • Access granularity is a row – read/write to a single row is atomic • Designed for workloads consisting of simple operations on individual items • Provides efficient access to random rows • Allows dynamic repartitioning of data

  4. Data Model • Sparse • Distributed • multi dimensional • persistent • Sorted • map • (row, column, timestamp) -> cell • Column = Column Family : Column Qualifier

  5. System Structure

  6. Other Features • Compression • In memory column families • Multiple masters • Rolling restart • Bloom filters • Efficient bulk loads • Source and sink for Hive, Pig, Cascading

  7. Use Cases • Mozilla • Yahoo! • Twitter • Facebook • Adobe

  8. HBase v/s RDBMS • Column Oriented • Flexible schema, add columns on the fly • Good with sparse tables • No query language • De-normalize your data • No transactions • Row Oriented ( mostly) • Fixed schema • Not optimized for sparse tables • SQL • Normalize as you can • Transactional

  9. Related Chapters • Big Data • Data Modelling

  10. References • http://ofps.oreilly.com/titles/9781449396107/intro.html • http://wiki.apache.org/hadoop/Hbase/DataModel • http://www.slideshare.net/amansk/hbase-hadoop-day-seattle-4987041 • http://static.googleusercontent.com/external_content/untrusted_dlcp/labs.google.com/en/us/papers/bigtable-osdi06.pdf

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