Best Books to Learn Hadoop

Best Books to learn Hadoop, Hadoop is an open-source software framework used for storing and processing large volumes of data.

It was designed to handle data sets that are too large for traditional database management systems to handle. The name Hadoop comes from the name of a toy elephant owned by the co-founder of Hadoop, Doug Cutting.

Hadoop is based on a distributed storage architecture called the Hadoop Distributed File System (HDFS). HDFS is designed to store large files across multiple commodity servers, making it fault-tolerant and scalable.

The data is divided into blocks, which are then replicated across multiple servers to ensure data availability in case of hardware failures.

Hadoop also includes a processing framework called MapReduce, which allows distributed processing of large data sets across clusters of computers using simple programming models.

MapReduce breaks down the processing into smaller tasks that can be executed in parallel, making it possible to process large data sets quickly and efficiently.

Hadoop has a wide range of use cases, including data warehousing, data mining, log processing, and scientific computing.

It is also used in various industries such as finance, healthcare, and retail for storing and analyzing large volumes of data.

Learning Hadoop involves understanding the concepts of HDFS and MapReduce, as well as learning how to install, configure, and manage Hadoop clusters.

It also involves learning how to use Hadoop tools such as Pig, Hive, and Spark for data processing and analysis.

Some popular resources for learning Hadoop include online courses, books, and documentation provided by the Apache Software Foundation, as well as various online communities and forums dedicated to Hadoop development and administration.

Best Books to learn Hadoop

S/NBook NameAuthorBook LInk
1.Hadoop: The Definitive GuideTom White
2.Hadoop For DummiesDirk deRoos
3.Hadoop MapReduce v2 CookbookThilina Gunarathne
4.Mastering HadoopSandeep Karanth
5.Data Analytics with HadoopBenjamin Bengfort, Jenny Kim
6.Professional Hadoop SolutionsBoris Lublinsky, Kevin T. Smith, Alexey Yakubovich
7.Hadoop Application ArchitecturesRajat (Mark) Grover, Ted Malaska, Jonathan Seidman, Gwen Shapira
8.Hadoop in Action Chuck Lam
9.Hadoop OperationsEric Sammer
10.Hadoop in Practice: Includes 104 TechniquesAlex Holmes

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