Beginning with an introduction to digital data types and the evolution of big data, the book progresses through the architecture and design of Hadoop Distributed File System (HDFS), the mechanics of MapReduce, and the functionalities of essential tools like Pig, Hive, HBase, and Big SQL. The final unit dives into data analytics with R and introduces core machine learning techniques such as supervised and unsupervised learning, making it an ideal reference for applied analytics and intelligent data solutions.
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