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A1 Trainings Provides Hadoop Online Training in Hyderabad,india by real-time experts for more details visit a1trainings
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Hadoop Course Content A1 Trainings
Email:contact@a1trainings.comPh:+91 7680813158 • Course Objective Summary During this course, you will learn: • Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts• Hadoop Map-reduce concepts and features• Developing the map-reduce Applications• Pig concepts• Hive concepts• Oozie workflow concepts• Flume Concepts• Hue Concepts• HBASE Concepts• Real Life Use Cases
Email:contact@a1trainings.comPh:+91 7680813158 Virtual box/VM Ware • Basics• Installations• Backups• SnapshotsLinux • Basics• Installations • CommandsHadoop• Why Hadoop?• Scaling• Distributed Framework• Hadoop v/s RDBMS• Brief history of Hadoop
Email:contact@a1trainings.comPh:+91 7680813158 • Setup Hadoop • Pseudo mode• Cluster mode• Ipv6• Ssh• Installation of java, Hadoop• Configurations of Hadoop• Hadoop Processes ( NN, SNN, JT, DN, TT)• Temporary directory• UI• Common errors when running Hadoop cluster, solutions
Email:contact@a1trainings.comPh:+91 7680813158 • HDFS- Hadoop distributed File System • HDFS Design and Architecture• HDFS Concepts• Interacting HDFS using command line• Interacting HDFS using Java APIs• Dataflow• Blocks• ReplicaHadoop Processes • • Name node• Secondary name node• Job tracker• Task tracker• Data node
Email:contact@a1trainings.comPh:+91 7680813158 • Map Reduce • Developing Map Reduce Application• Phases in Map Reduce Framework• Map Reduce Input and Output Formats• Advanced Concepts• Sample Applications• CombinerJoining datasets in Mapreduce jobs• Map-side join• Reduce-Side join
Email:contact@a1trainings.comPh:+91 7680813158 • Map reduce – customization • Custom Input format class• Hash Partitioner• Custom Partitioner• Sorting techniques• Custom Output format classHadoop Programming Languages :- • I).HIVE • • Introduction• Installation and Configuration• Interacting HDFS using HIVE• Map Reduce Programs through HIVE• HIVE Commands• Loading, Filtering, Grouping….• Data types, Operators…..• Joins, Groups….• Sample programs in HIVE
Email:contact@a1trainings.comPh:+91 7680813158 • II).PIG• Basics• Installation and Configurations• Commands….OVERVIEW HADOOP DEVELOPER IntroductionThe Motivation for Hadoop• Problems with traditional large-scale systems• Requirements for a new approach
Email:contact@a1trainings.comPh:+91 7680813158 • Hadoop: Basic Concepts • Map-side join• Reduce-Side joinIntroduction • An Overview of Hadoop• The Hadoop Distributed File System• Hands-On Exercise• How MapReduce Works• Hands-On Exercise• Anatomy of a Hadoop Cluster• Other Hadoop Ecosystem Components
Email:contact@a1trainings.comPh:+91 7680813158 Writing a MapReduce Program • The MapReduce Flow• Examining a Sample MapReduce Program• Basic MapReduce API Concepts• The Driver Code• The Mapper• The Reducer• Hadoop’s Streaming API• Using Eclipse for Rapid Development• Hands-on exercise• The New MapReduce API
Email:contact@a1trainings.comPh:+91 7680813158 • Common MapReduce Algorithms • Sorting and Searching• Indexing• Machine Learning With Mahout• Term Frequency – Inverse Document Frequency• Word Co-Occurrence• Hands-On Exercise.PIG Concepts.. • • Data loading in PIG.• Data Extraction in PIG.• Data Transformation in PIG.• Hands on exercise on PIG.
Email:contact@a1trainings.comPh:+91 7680813158 • Hive Concepts. • Hive Query Language.• Alter and Delete in Hive.• Partition in Hive.• Indexing.• Joins in Hive.Unions in hive.• Industry specific configuration of hive parameters.• Authentication & Authorization.• Statistics with Hive.• Archiving in Hive.• Hands-on exerciseWorking with Sqoop• Introduction.• Import Data.• Export Data.• Sqoop Syntaxs.• Databases connection.• Hands-on exercise
Email:contact@a1trainings.comPh:+91 7680813158 • Working with Flume • ------------02 Hours• Introduction.• Configuration and Setup.• Flume Sink with example.• Channel.• Flume Source with example.• Complex flume architecture.• OOZIE Concepts• IMPALA Concepts• HUE ConceptsReporting Tool: • Tableau Software…1.Tableau Fundamentals.2.Tableau Analytics.3.Visual Analytics.4. Hands-on exercise