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HBase is an open source, column-oriented NoSQL database designed to emulate Google's BigTable. HBase runs on top of Hadoop Distributed File System (HDFS) and is well suited for sparse datasets. HBase provides features like fast data scans, data filtration, and in-memory caching, and integrates well with MapReduce jobs. HBase offers high scalability and enables developers to solve problems that are much bigger than any single computer can tackle.
With an example-oriented approach, this book begins by providing you with a step-by-step learning process to effortlessly set up HBase clusters and design schemas. Gradually, you will be taken through advanced data modeling concepts and the intricacies of the HBase architecture. Moreover, you will also get acquainted with the HBase Client API and HBase Shell. Essentially, this book aims to provide you with a solid grounding in the NoSQL columnar database space and also helps you take advantage of the real power of HBase using data scans, filters, and the MapReduce framework. Most importantly, the book also provides you with practical use cases covering various HBase clients, HBase cluster administration, and performance tuning.
Overview
HBase is an open source, column-oriented NoSQL database designed to emulate Google's BigTable. HBase runs on top of Hadoop Distributed File System (HDFS) and is well suited for sparse datasets. HBase provides features like fast data scans, data filtration, and in-memory caching, and integrates well with MapReduce jobs. HBase offers high scalability and enables developers to solve problems that are much bigger than any single computer can tackle.
With an example-oriented ...