HBase in Action是一个用户指南，HBase的，不多也不少。它不进入内部HBase实现内部。它不包括为理解Hadoop生态系统所需的广泛主题。它保持在HBase的特别关注。它的目的是教育你足够你可以在上面建HBase应用和推出应用到生产。一路上，你会学到一些HBase的实施细则。 When dealing with big data, traditional databases don't cut it. It's best to use the right tool for the job. HBase is a NoSQL storage system designed from the ground up for fast, random access to large volumes of data. Built on Hadoop, it runs on commodity hardware and scales from modest datasets up to millions of columns and billions of rows. HBase in Action provides all the knowledge needed to design, build, and run applications using HBase. First, it introduces the fundamentals of distributed systems and large scale data handling. Then, it explores real-world applications and code samples with just enough theory to explain practical techniques. It shows readers how to build applications with HBase and take advantage of the MapReduce processing framework as they learn patterns and best practices. ABOUT THE TECHNOLOGY HBase is an open-source, column-oriented database management system written in Java. It runs on top of the Hadoop Distributed File System (HDFS) and is fast enough to directly power websites and integrates tightly with the MapReduce processing framework, a programming model for processing large data sets. HBase has become the data backbone for production deployments worldwide in companies like StumbleUpon, Facebook, and Twitter. knowledge needed to design, build, and run applications using HBase. First, it introduces the fundamentals of distributed systems and large scale data handling. Then, it explores real-world applications and code samples with just enough theory to explain practical techniques. It shows readers how to build applications with HBase and take advantage of the MapReduce processing framework as they learn patterns and best practices. ABOUT THE TECHNOLOGY HBase is an open-source, column-oriented database management system written in Java. It runs on top of the Hadoop Distributed File System (HDFS) and is fast enough to directly power websites and integrates tightly with the MapReduce processing framework, a programming model for processing large data sets. HBase has become the data backbone for production deployments worldwide in companies like StumbleUpon, Facebook, and Twitter.