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If you are a Big Data enthusiast and wish to use Hadoop v2 to solve your problems, then this book is for you. This book is for Java programmers with little to moderate knowledge of Hadoop MapReduce. This is also a one-stop reference for developers and system admins who want to quickly get up to speed with using Hadoop v2. It would be helpful to have a basic knowledge of software development using Java and a basic working knowledge of Linux.
ກ່ຽວກັບຜູ້ຂຽນ
Thilina Gunarathne is a senior data scientist at KPMG LLP. He led the Hadoop-related efforts at Link Analytics before its acquisition by KPMG LLP. He has extensive experience in using Apache Hadoop and its related technologies for large-scale data-intensive computations. He coauthored the first edition of this book, Hadoop MapReduce Cookbook, with Dr. Srinath Perera. Thilina has contributed to several open source projects at Apache Software Foundation as a member, committer, and a PMC member. He has also published many peer-reviewed research articles on how to extend the MapReduce model to perform efficient data mining and data analytics computations in the cloud. Thilina received his PhD and MSc degrees in computer science from Indiana University, Bloomington, USA, and received his bachelor of science degree in computer science and engineering from University of Moratuwa, Sri Lanka.
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