Hadoop.The.Definitive.Guide.4th.Edition.1491901632
Title: Hadoop: The Definitive Guide, 4th Edition Author: Tom White Length: 768 pages Edition: 4 Language: English Publisher: O'Reilly Media Publication Date: 2015-04-10 ISBN-10: 1491901632 ISBN-13: 9781491901632 Get ready to unlock the power of your data. With the fourth edition of this comprehensive guide, you’ll learn how to build and maintain reliable, scalable, distributed systems with Apache Hadoop. This book is ideal for programmers looking to analyze datasets of any size, and for administrators who want to set up and run Hadoop clusters. Using Hadoop 2 exclusively, author Tom White presents new chapters on YARN and several Hadoop-related projects such as Parquet, Flume, Crunch, and Spark. You’ll learn about recent changes to Hadoop, and explore new case studies on Hadoop’s role in healthcare systems and genomics data processing. Learn fundamental components such as MapReduce, HDFS, and YARN Explore MapReduce in depth, including steps for developing applications with it Set up and maintain a Hadoop cluster running HDFS and MapReduce on YARN Learn two data formats: Avro for data serialization and Parquet for nested data Use data ingestion tools such as Flume (for streaming data) and Sqoop (for bulk data transfer) Understand how high-level data processing tools like Pig, Hive, Crunch, and Spark work with Hadoop Learn the HBase distributed database and the ZooKeeper distributed configuration service Table of Contents Part I. Hadoop Fundamentals Chapter 1. Meet Hadoop Chapter 2. MapReduce Chapter 3. The Hadoop Distributed Filesystem Chapter 4. YARN Chapter 5. Hadoop I/O Part II. MapReduce Chapter 6. Developing a MapReduce Application Chapter 7. How MapReduce Works Chapter 8. MapReduce Types and Formats Chapter 9. MapReduce Features Part III. Hadoop Operations Chapter 10. Setting Up a Hadoop Cluster Chapter 11. Administering Hadoop Part IV. Related Projects Chapter 12. Avro Chapter 13. Parquet Chapter 14. Flume Chapter 15. Sqoop Chapter 16. Pig Chapter 17. Hive Chapter 18. Crunch Chapter 19. Spark Chapter 20. HBase Chapter 21. ZooKeeper Part V. Case Studies Chapter 22. Composable Data at Cerner Chapter 23. Biological Data Science: Saving Lives with Software Chapter 24. Cascading Appendix A. Installing Apache Hadoop Appendix B. Cloudera’s Distribution Including Apache Hadoop Appendix C. Preparing the NCDC Weather Data Appendix D. The Old and New Java MapReduce APIs
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