Big Data & Hadoop DevelopmentLearn the most comprehensive Hadoop course to become a

big data Expert

How it Works… Live on-Line class Class recording in Learning management systems

(LMS) Module wise Quizzes, Coding Assignments 24*7 on-demand technical support Project work on large Datasets Online Certification exam Lifetime access to the LMS

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Course Topics…. Introduction to Big data and Hadoop

• Understanding Big Data• Challenges in processing Big Data• 3V Characteristics (Volume, Variety and Velocity)• Brief history of Hadoop• How Hadoop addresses Big Data?• HDFS and MR• Hadoop echo system

HDFS (Hadoop Distributed File System)• HDFS Overview and Architecture• HDFS Keywords like Name Node, Data Node, Heart Beat etc.• Configuring HDFS• Data Flows (Read and Write)• HDFS Permissions and Security• HDFS commands• Rack Awareness

5 Daemons processes Map Reduce• Map Reduce Basics• Map Reduce Data Flow• Word count Example solving• Algorithms for simple and complex problems• Hadoop Streaming

Developing a Map Reduce Application• Setting up working environment• Custom Data types (Writable and Custom Key types)• Input and Output file formats• Driver, Mapper and Reducer Code

How Map Reduce works?• Classic Map Reduce (Map Reduce I)• YARN (Map Reduce II)• Job Scheduling• Shuffle and Sort• Failures• Oozie Workflows• Hands-on Exercises

Hadoop Echo Systems PIG• Overview of PIG• Installation and running PIG• PIG Latin• Loading and storing data• Hands-on

HIVE• Overview of HIVE• Installation and running HIVE• HiveQL• Tables• Hands-on

HBASE• Overview of HBASE Installation CLinets (Avro, REST, Thrift)• Hands-on

SQOOP• Overview of SQOOP• Solving Case studies

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Big Data – How it is ? What it means ?

DATA VALUE

Velocity:Data flown continues, time sensitive,

streaming flowBatch, Real time, Streams, Historic

Veracity:Quality, Consistency, reliability and

provenance of dataGood, undefined, inconsistency and

incomplete

Volume:Big Data comes in on large scale. Its on

TB & even PBRecords, Transaction, Tables, Files

Variety:Big Data extends structured, Including

semi-structured and unstructured data of all variety;

Structured, Semi and un structured

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Understand various types of data that can be stored in Hadoop

Perform Data Analytics using PIG & HIVE

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Thank You

For Free Demo you can call us at USA : +1-610-686-8077