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If you’re looking for a scalable storage solution to accommodate a virtually endless amount of data, this updated edition shows you how Apache HBase can meet your needs. Modeled after Google’s BigTable architecture, HBase scales to billions of rows and millions of columns, while ensuring that write and read performance remain constant.
Fully revised for HBase 1.0, this second edition brings you up to speed on the new HBase client API, as well as security features and new case studies that demonstrate HBase use in the real world. Whether you just started to evaluate this non-relational database, or plan to put it into practice right away, this book has your back.
Launch into basic, advanced, and administrative features of HBase’s new client-facing API
Use new classes to integrate HBase with Hadoop’s MapReduce framework
Explore HBase’s architecture, including the storage format, write-ahead log, and background processes
Dive into advanced usage, such extended client and server options
Learn cluster sizing, tuning, and monitoring best practices
Design schemas, copy tables, import bulk data, decommission nodes, and other tasks
Go deeper into HBase security, including Kerberos and encryption at rest
Lars George has been involved with HBase since 2007, and became a full HBase committer in 2009. He has spoken at various Hadoop User Group meetings, as well as large conferences such as FOSDEM in Brussels. He also started the Munich OpenHUG meetings. He now works closely with Cloudera to support Hadoop and HBase in and around Europe through technical support, consulting work, and training.