Post on 13-Apr-2017
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