Hadoop: The Definitive Guide 3rd Edition PDF Download Ebook. Tom White shows the best way to construct and keep reliable, scalable, distributed techniques with Apache Hadoop. This book is good for programmers trying to analyze datasets of any size, and for directors who want to arrange and run Hadoop clusters.
You’ll discover illuminating case research that exhibit how Hadoop is used to resolve specific problems. This third edition covers current modifications to Hadoop, together with material on the brand new MapReduce API, in addition to MapReduce 2 and its more flexible execution model (YARN).
- Store giant datasets with the Hadoop Distributed File System (HDFS)
- Run distributed computations with MapReduce Use Hadoop’s knowledge and I/O building blocks for compression, information integrity, serialization (including Avro), and persistence
- Discover frequent pitfalls and advanced features for writing real-world Map
- Reduce programs Design, construct, and administer a devoted Hadoop cluster-or run Hadoop within the cloud Load information from relational databases into HDFS, utilizing Sqoop
- Carry out large-scale knowledge processing with the Pig question language Analyze datasets with Hive, Hadoop’s knowledge warehousing system
- Reap the benefits of HBase for structured and semi-structured knowledge, and ZooKeeper for building distributed systems
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