A1 Trainings is one of the best Hadoop Online Training Institute in Hyderabad india. Join our Hadoop online Training Classes and Get trained By Real time experienced Industry professionals. Practical sessions will also be provided for hands on experience. We provide training courses ideal for students ,software and administration professionals. Our training sessions covers all information from basic to advanced level
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
Virtual box/VM Ware
• Basics
• Installations
• Backups
• Snapshots
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Linux
• Basics
• Installations • Commands
Hadoop
• Why Hadoop?
• Scaling
• Distributed Framework
• Hadoop v/s RDBMS
• Brief history of hadoop
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
HDFS- Hadoop distributed File System
• HDFS Design and Architecture
• HDFS Concepts
• Interacting HDFS using command line
• Interacting HDFS using Java APIs
• Dataflow
• Blocks
• Replica
Hadoop Processes
• Name node
• Secondary name node
• Job tracker
• Task tracker
• Data node
Map Reduce
• Developing Map Reduce Application
• Phases in Map Reduce Framework
• Map Reduce Input and Output Formats
• Advanced Concepts
• Sample Applications
• Combiner
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Joining datasets in Mapreduce jobs
• Map-side join
• Reduce-Side join
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Map reduce – customization
• Custom Input format class
• Hash Partitioner
• Custom Partitioner
• Sorting techniques
• Custom Output format class
Hadoop 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
II).PIG
• Basics
• Installation and Configurations
• Commands….
OVERVIEW HADOOP DEVELOPER
Introduction
The Motivation for Hadoop
• Problems with traditional large-scale systems
• Requirements for a new approach
Hadoop: Basic Concepts
• Map-side join
• Reduce-Side join
Introduction
• 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
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
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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.
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 exercise
Working with Sqoop
• Introduction.
• Import Data.
• Export Data.
• Sqoop Syntaxs.
• Databases connection.
• Hands-on exercise
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 Concepts
Reporting Tool:
Tableau Software…
1.Tableau Fundamentals.
2.Tableau Analytics.
3.Visual Analytics.
4. Hands-on exercise
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