HADOOP ONLINE TRAINING AND JOB SUPPORT@ CLICK4TRAININGS.COM
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HADOOP ONLINE TRAINING AND JOB SUPPORT@ CLICK4TRAININGS.COM

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Click4trainings is one of the most trusted training providers for professionals based all over the world in E-learning process. ...

Click4trainings is one of the most trusted training providers for professionals based all over the world in E-learning process.

Click4trainings organizes number of online training courses, which benefits students for an advanced career. We organize Online Live safety training at your fingertips 24/7.

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  • 1. COURSE DURATION: 1 MONTH HADOOP TRAINING COURSE CONTENT HADOOP ONLINE TRAINING, JOBSUPPORT@ CLICK4TRAININGS.COM Our identical existence with unique and definite solution approach keeps us different than others. Click4trainings organizes number of online training courses, which benefits students for an advanced career. We organize Online Live safety training at your fingertips 24/7! Before joining the trainings you are allowed to attend free demo sessions. FREE DEMO SESSION CONTACT US: Email : trainings@click4trainings.com Gmail: click4trainings@gmail.com USA: +1-872-588-4938 INDIA: +91-8125778872
  • 2. Hadoop  What is Big Data  Problems with traditional large-scale systems  Data Storage literature survey  Data Processing literature Survey  Network Constraints  Introduction to Hadoop  Parallel Computing vs Distributed Computing  How to install Hadoop on your system  How to install Hadoop cluster on multiple machines  Hadoop daemons introduction: NameNode, DataNode, JobTracker, TaskTracker  Exploring HDFS (Hadoop Distributed File System)  Namenode architecture (FS Image, Replica placement)  Secondary Namenode architecture  Datanode architecture MapReduce Architecture  Exploring JobTracker/TaskTracker  How to run a Map-Reduce job  Exploring Mapper/Reducer/Combiner  Shuffle: Sort & Partition  Input/output formats  Exploring Apache MapReduce web UI Hadoop Developer Tasks  How to write a Map-Reduce Job  Reading and writing data using Java  Mapper in details  Reducer in details  Using Combiners  Reducing Intermediate Data with Combiners  Writing Partitioners for Better Load Balancing  Sorting in HDFS
  • 3.  Searching in HDFS Hadoop Administrative Tasks  Routine Administrative Procedures  Understanding dfsadmin and mradmin  Block Scanner, HDFS Balancer  Health Check & Safe mode  Monitoring and Debugging on Hadoop cluster  Namenode backup and recovery  Datanode commissioning/decommissioning HBase  Introduction to HBase  Installation of HBase on your system  Exploring HBase Master & Regionservers  Exploring Zookeeper  Column Families and Qualifiers  Basic HBase shell commands. Hive  Introduction to Hive  HBase vs Hive  Installation of Hive on your system  Hive architecture  HQL (Hive query language )  Basic Hive commands Pig  Introduction to Pig  Installation of Pig on your system  Basic Pig commands
  • 4.  Write sample Pig Latin scripts Sqoop  Introduction to Sqoop  Installation of Sqoop on your system  Sqoop architecture  Import/Export data from RDBMS to HDFS  Import/Export data from RDBMS to HBase  Import/Export data from RDBMS to Hive More Ecosystems  Introduction to Cassandra and architecture  Introduction to Flume and architecture