Working in IT industry from past 13+ years and from past 5 years conducting trainings on BigData Hadoop and job support

Having good amount of knowledge on below technologies.

Programming Languages : Hadoop With Java, Spark with Scala, C#.Net,Python

ETL Tools: Datastage,Abinitio

Scripting: Unix/Perl

Databases: Oracle,Teradata,netezza

Third Pary Schedulars: Control-M/TWS

Key Learings:

• Provide training on Complete Hadoop
• Explain Real time scenarios and Case Study’s Discussion.
• Explain Real time project End to End, like Different Stages of Projects, How Data Importing then Cleaning and Processing in Hadoop.
• Share knowledge on different environments like development, testing and production
• Explain Production support project issues
• Explain Development project cycle, Development of mappings, testing and code deployment.
• Prepare you on interviews part as well Certification Guidance.
• Resume Preparation
• BigData Hadoop installation is free

 Introduction to BigData, Hadoop:-

• Big Data Introduction
• Hadoop Introduction
• What is Hadoop? Why Hadoop?
• Hadoop History?
• Different types of Components in Hadoop?
• HDFS, MapReduce, PIG, Hive, SQOOP, HBASE, OOZIE, Flume, Zookeeper and so on…
• What is the scope of Hadoop?

Deep Drive in HDFS (for Storing the Data):-

• Introduction of HDFS
• HDFS Design
• HDFS role in Hadoop
• Features of HDFS
• Daemons of Hadoop and its functionality
  • Name Node
  • Secondary Name Node
  • Job Tracker
  • Data Node
  • Task Tracker
• Anatomy of File Wright
• Anatomy of File Read
• Network Topology
  • Nodes
  • Racks
  • Data Center
• Parallel Copying using DistCp
• Basic Configuration for HDFS
• Data Organization
  • Blocks and
  • Replication
• Rack Awareness
• Heartbeat Signal
• How to Store the Data into HDFS
• How to Read the Data from HDFS
• Accessing HDFS (Introduction of Basic UNIX commands)
• CLI commands

Planning Your Hadoop Cluster

• Local Mode Cluster
• Single Node Cluster Configuration
• Multi-Node Cluster Configuration

Cluster Monitoring, Troubleshooting, and Optimizing

• General System conditions to Monitor
• Name Node and Job Tracker Web Uis
• View and Manage Hadoop’s Log files
• Common cluster issues and their resolutions
• Populating HDFS from External Sources
• How to use Sqoop to import data from RDBMSs to HDFS
• How to gather logs from multiple systems using Flume
• Features of Hive, Hbase and Pig
• How to populate HDFS from external Sources

MapReduce using Java (Processing the Data):-

• Introduction of MapReduce.
• MapReduce Architecture
• Data flow in MapReduce
  • Splits
  • Mapper
  • Portioning
  • Sort and shuffle
  • Combiner
  • Reducer
• Understand Difference Between Block and InputSplit
• Role of RecordReader
• Basic Configuration of MapReduce
• MapReduce life cycle
  • Driver Code
  • Mapper
  • and Reducer
• How MapReduce Works
• Writing and Executing the Basic MapReduce Program using Java
• Submission & Initialization of MapReduce Job.
• File Input/output Formats in MapReduce Jobs
  • Text Input Format
  • Key Value Input Format
  • Sequence File Input Format
  • NLine Input Format
• Joins
  • Map-side Joins
  • Reducer-side Joins
• Word Count Example
• Partition MapReduce Program
• Side Data Distribution
  • Distributed Cache (with Program)
• Counters (with Program)
  • Types of Counters
  • Task Counters
  • Job Counters
  • User Defined Counters
  • Propagation of Counters
• Job Scheduling