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Hadoop online Training

Rs.25,000.00 Rs.20,000.00 additional tax may apply

Hadoop is an open source software used for storing and processing Big Data. It stores Big Data in a fault tolerant and distributed manner over commodity hardware. After that, parallel data is stored and processed over Hadoop Distributed File System (HDFS) using specialized Hadoop tools.

46 Hours of online Training + Practical + Mini Project.

Covered in 20 days.

This a for a group training, minimum 8 attendees required. The training schedule will be decided mutually with the group members.

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Note : Cost mentioned is per user for all the topics below.

 

Topics for training (total 46 Hours divided into 20 days) 

 

Duration in Hours
Chapter Module No Module Theory Practical
Hadoop Architecture Module No 1 what is big data 1
Module No 2 Hadoop Architecture, Hadoop Ecosystem Components Hadoop Storage : HDFS 1.5
Module No 3 Hadoop Processing Map Reduce Framework Hadoop Server Roles 1.5
Module No 4 Namenode Secondary Namenode  & data node anatomy of file read and write 1
Hadoop Cluster Configuration and Data Loading Module No 5 Hadoop Cluster Architecture, Hadoop Cluster Configuration files, Hadoop Cluster Modes, HDFS File I/O Operations 1 2
Hive Module No 6 Hive Architecture and Installation, Comparison with Traditional Database, HiveQL: Data Types, Operators and Functions, Hive
Tables(Managed Tables and External Tables, Partitions and Buckets, Storage Formats, Importing Data, Altering Tables, Dropping Tables)
2 2
Module No 7 Querying Data (Sorting And Aggregating, Map Reduce Scripts, Joins & Subqueries, Views, Map and Reduce side Joins to optimize Query), 2 2
Defined Functions, Appending Data into existing Hive Table 3 3
Pig and Pig Latin Module No 8 Installing and Running Pig, Grunt, Pig’s Data Model, Pig Latin, Developing & Testing Pig Latin Scripts 1 1
Writing Evaluation, Filter, Load & Store Functions, Hadoop Project: Pig Scripting 1
Flume Module No 9 Flume Architecture, Flume installation, Flume streaming engine 1 2
Advance MapReduce, Zookeeper and YARN (Mrv2) Module No 10 Zookeeper 1
Module No 11 Hadoop 2.0 New Features–namely, NameNode High Availability, HDFS Federation, YARN etc., 1.5 1
Programming in YARN, Running  Mrv1 in YARN, Upgrade your existing code to Mrv2, 1 1
Hadoop MapReduce framework Module No 12 Hadoop Data Types, Hadoop MapReduce paradigm, Map and Reduce tasks, MapReduce Execution Framework, 1.5 1
Module No 13 Partitioners and Combiners, Input Formats (Input Splits and Records, Text Input, Binary Input, Multiple Inputs), Output Formats
(TextOutput, BinaryOutPut, Multiple Output), Hadoop Project: MapReduce Programming.
1
Module No 14 Multi-Node Hadoop Cluster, A Typical Production Hadoop Cluster, MapReduce Job execution 1 2
Sqoop Module No 15 About Sqoop, Sqoop commands, Sqoop Scenarios 1 2
Project Hadoop Project: Mini Project 1 2
Total Hours 25 21

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