About this Book
Doug Cutting, Hadoop’s creator, likes to call Hadoop the kernel for big data, and I’d tend to agree. With its distributed storage and compute capabilities, Hadoop is fundamentally an enabling technology for working with huge datasets. Hadoop, to me, provides a bridge between structured (RDBMS) and unstructured (log files, XML, text) data, and allows these datasets to be easily joined together. This has evolved from traditional use cases, such as combining OLTP and log files, to more sophisticated uses, such as using Hadoop for data warehousing (exemplified by Facebook) and the field of data science, which studies and makes new discoveries about data.
This book collects a number of intermediary and advanced Hadoop examples and ...
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