HBase is an open source, non-relational, distributed database modeled after Google’s BigTable and is written in Java. HBase features compression, in-memory operation, and Bloom filters on a per-column basis as outlined in the original BigTable paper. Tables in HBase can serve as the input and output for MapReduce jobs run in Hadoop, and may be accessed through the Java API but also through REST, Avro or Thrift gateway APIs.
By attending Apache HBase workshop, Participants will learn to:
- Understand HBase Architecture and use HBase shell to directly manipulate HBase Tables
- Design optimal HBase schemas for efficient data storage and recovery
- Connect to HBase using the Java API
- Understand how to bulk load data into HBase using MapReduce
- Administer HBase cluster and Identify, resolve performance bottlenecks
- Core Java knowledge
Java Professionals, Big data and Database Professionals, Professional planning to switch to Hadoop/Big data Technologies