Apache Hadoop is the technology at the heart of the Big Data revolution and Hadoop skills are in enormous demand. Now, in just 24 lessons of one hour or less, students can learn all the skills and techniques they'll need to deploy each key component of a Hadoop platform in a local environment or in the cloud, building a fully functional Hadoop cluster and using it with real programs and datasets. Each short, easy lesson builds on all that's come before, helping students master all of Hadoop's essentials and extend it to meet real-world challenges. Apache Hadoop in 24 Hours, Sams Teach Yourself covers all this and much more:Features Covers all aspects of the Hadoop platform, its interfaces and its key ecosystem components and associated Big Data technologiesShows how to build Hadoop solutions step by step, with all samples available for downloadTeaches through practical instructions, realistic examples, hands-on workshops, Q-and-As, quizzes, exercises, tips and more.\nTable of Contents Hour \n1: Introduction to HadoopHour \n2: Understanding the Hadoop Distributed File System (HDFS)Hour \n3: Getting Data into HadoopHour \n4: Understanding Data Processing in HadoopHour \n5: Map Reduce Programming in JavaHour \n6: Advanced Map Reduce API ConceptsHour \n7: Introduction to Apache PigHour \n8: Advanced Pig UsageHour \n9: Introduction to Apache HiveHour \n10: Advanced Hive UsageHour \n11: YARN AdministrationHour \n12: SQL on Hadoop OverviewHour \n13: the Hadoop EcosystemHour \n14: Cluster Management using Apache AmbariHour \n15: Scaling HadoopHour \n16: Advanced Cluster ConfigurationHour \n17: the Hadoop User Environment (HUE)Hour \n18: Advanced HDFSHour \n19: Securing HadoopHour \n20: Troubleshooting HadoopHour \n21: Integrating Hadoop into the EnterpriseHour \n22: Hadoop in the CloudHour \n23: Introduction to NoSQLHour \n24: Introduction to Apache Spark.