It is hadoop developer training class will be conducted online and provided 5 institute training material at free of cost. 1. simplilearn hadoop and big data course access for one year 2. Infinite skill hadoop course and amazon web serivice video 3. edureka institue big data and hadoop video 4.Lynda hadoop course 5. Udemy hadoop and big data course Many more books and pdf and ppts will be free accessible with this course.

Topics Covered

Introduction to Hadoop & Big Data Introduction to Hadoop Introduction to Big Data Hadoop Ecosystem - Concepts Hadoop Map Reduce Concepts and Features Developing the Map Reduce Applications PIG Concepts HIVE Concepts Flume concepts HUE Concepts Hbase concepts Real Life Use Cases How Hadoop can solve problem associated with traditional large scale system Other Open Source Software related to Hadoop IN depth Knowledge on how Big Data Solutions work on Cloud How to create your own Hadoop Cluster 2. Hadoop Architecture Understand the main Hadoop Components Setup Hadoop Pseudo Mode Cluster Mode Ipv6 Installation of Java , Hadoop Configuration of Hadoop Hadoop Processes Name Node , Secondry Name Node Job Tracker , Task Tracker Data Node HDFS - Hadoop Distributed File Syatem Learn How HDFS Works HDFS Design and Architecture HDFS Concepts Interacting HDFS using command Line Interacting HDFS using Java APIs Dataflow Blocks Replica List Data Access patterns for which HDFS is Designed Learn how data is stored in HDFC Cluster Learn HDFC Commands LINUX Basics , Installation and Commands 3. Querying Data An overview of Pig, Hive and JAQL Working with Pig Working with Hive Working with JAQL Working with Pig , Hive and JAQL Transcript Querying Data with Pig , Hive and JAQL 4. Introduction to MapReduce Understands the concepts of map and reduce operations Developing Map reduce Applications Describes how Hadoop execute a MapReduce Job Phases in Map reduce Framework Map reduce Input and Output Formats Advanced Concepts Sample Application Combiner Joining Datasets in Map reduce Jobs Map - Side Join Reduce - Side Join Map reduce customization Custom Input Format class Hash Partitioner Custom Partitioner Sorting Technique Custom Output Format class Writing a Map reduce programe The Map reduce Flow Examining a sample Map reduce programe Basic Map reduce API concepts The Mapper The Reducer Hadoop Streaming API Using Eclipse for rapid development Hans on Exercise Common Map reduce Algorithms Sorting and Searching Indexing Machine Learning with Mahout Term Frequency List MapReduce Fundamental Data Types Explain a MapReduce Data flow List MapReduce fault tolerance and scheduling features 5. HIVE Introduction to Hive Installation and Configuration Interacting HDFS using Hive Map Reduce Programs through Hive Hive Commands Loading , Filtering , Grouping Data Types , Operators Joins , Groups Sample Program in Hive Hive Query Language Alter and Delete in Hive Partition in Hive Indexing Joins in Hive , Unions in Hive Authentication and Authorization Statistics with Hive Archiving in Hive Hands on exercise 6. PIG Introduction to PIG Installation and Configuration Commands Data Loading in PIG Data Extraction in PIG Data Transformation in PIG Hands on Exercise on PIG 7. Shifting Data into Hadoop Understand how to transfer data into Hadoop using Flume Introduction to Flume Introduction to Flume Transcript Working with Flume Flume mode of operation and configuration 8. Working with Sqoop Introduction to Sqoop Import Data Export Data Sqoop Syntax Databases connection Hands on Exercise 9. Working with Flume Introduction to Flume Configuration and Setup Flume sink with example Channel Flume source with example Complex Flume Architecture IMPALA Concepts HUE Concepts OOZIE Concepts

Who should attend

All IT professional can attend who has experience in java

Pre-requisites

The guys who has experience in java at least 1 year minimum.

What you need to bring

I want to spread learning about big data and hadoop mainly to provide advanced things in big data and hadoop.

Key Takeaways

It is hadoop developer training programme which will give knowledge in the field of big data.