相比第三章增加好几章新内容,学习大数据必备的数藉!Table of ContentsPart I. Hadoop FundamentalsChapter 1. Meet HadoopChapter 2. MapReduceChapter 3. The Hadoop Distributed FilesystemChapter 4. YARNChapter 5. Hadoop I/OPart II. MapReduceChapter 6. Developing a MapReduce ApplicationChapter 7. How MapReduce WorksChapter 8. MapReduce Types and FormatsChapter 9. MapReduce FeaturesPart III. Hadoop OperationsChapter 10. Setting Up a Hadoop ClusterChapter 11. Administering HadoopPart IV. Related ProjectsChapter 12. AvroChapter 13. ParquetChapter 14. FlumeChapter 15. SqoopChapter 16. PigChapter 17. HiveChapter 18. CrunchChapter 19. SparkChapter 20. HBaseChapter 21. ZooKeeperPart V. Case StudiesChapter 22. Composable Data at CernerChapter 23. Biological Data Science: Saving Lives with SoftwareChapter 24. CascadingAppendix A. Installing Apache HadoopAppendix B. Cloudera’s Distribution Including Apache HadoopAppendix C. Preparing the NCDC Weather DataAppendix D. The Old and New Java MapReduce APIs