Hadoop New Batch Starting From 30Th Apr At 8 Am(Ist)

[training4u]

[color=#000000][font=helvetica, arial, sans-serif][size=5][b]Email:[/b][/size][/font][/color][color=#ff0000][font=helvetica, arial, sans-serif][size=5][b] [email protected] [/b][/size][/font][/color]

[color=#ff0000][b]Contact No: [/b][/color][b]+91 9036 298 699[/b]

[color=#008080][font=helvetica, arial, sans-serif][size=5][b]www.onlinetrainings9.com[/b][/size][/font][/color]

[b][color=#0000FF][size=6]Hadoop New batch starting from 30th Apr at 8 AM(IST)||29th Apr at 10.30 PM(EST).[/size][/color][/b]


[b] [size=5] 1. [u]Course Contents[/u][/size][/b]

· Introduction and Motivation of Hadoop
[indent=1]o What is Big Data[/indent]
[indent=1]o Challenges in Big Data[/indent]
[indent=1]o Challenges in Traditional Application[/indent]
[indent=1]o New Requirements[/indent]
[indent=1]o What is Hadoop[/indent]
[indent=1]o Brief history of Hadoop[/indent]
[indent=1]o Features of Hadoop[/indent]
[indent=1]o Hadoop v/s RDBMS[/indent]
[indent=1]o Hadoop Ecosystem’s overview[/indent]
[indent=1]o Overview of HDFS and MapReduce[/indent]
· Understanding Hadoop Distributed File System
[indent=1]o Understanding Configuration[/indent]
[indent=1]o HDFS Concepts[/indent]
[indent=1]§ Blocks[/indent]
[indent=1]§ Replication[/indent]
[indent=1]§ Version File[/indent]
[indent=1]§ Safe mode[/indent]
[indent=1]§ NameSpace IDs[/indent]
[indent=1]o Reading and Writing in HDFS[/indent]
[indent=1]o Understanding NameNode[/indent]
[indent=1]o Understanding Data Node[/indent]
[indent=1]o Understanding Secondary NameNode[/indent]
[indent=1]o Understanding Job Tracker[/indent]
[indent=1]o Understanding Task Tracker[/indent]
· HDFS Shell Commands
[indent=1]o Hands On Exercise[/indent]
· Accessing HDFS using API
[indent=1]o Understanding HDFS Java classes and methods[/indent]
[indent=1]o Hands On Exercise[/indent]
· Map Reduce Programming
[indent=1]o Understanding block and input splits[/indent]
[indent=1]o Common Input and Output Formats[/indent]
[indent=1]o MapReduce Data types[/indent]
[indent=1]o Understanding Writable and WritableComparable (Introduction)[/indent]
[indent=1]o Data Flow in MapReduce Application[/indent]
[indent=1]o Understanding WordCount problem[/indent]
[indent=1]o Writing MapReduce Application[/indent]
[indent=1]§ Understanding Mapper function[/indent]
[indent=1]§ Understanding Reducer Function[/indent]
[indent=1]§ Understanding Driver[/indent]
[indent=1]§ Understanding Tool Runner[/indent]
[indent=1]§ Hands on Exercise[/indent]
[indent=1]o Older and Newer API[/indent]
[indent=1]o Solving common problems[/indent]
[indent=1]§ Average word length[/indent]
[indent=1]§ Inverted Index[/indent]
[indent=1]§ Word Co-Occurrence[/indent]
[indent=1]§ Searching[/indent]
[indent=1]§ Sorting[/indent]
[indent=1]§ Hands on exercise[/indent]
· MapReduce Continued
[indent=1]o Using Combiner[/indent]
[indent=1]o Using Distributed Cache[/indent]
[indent=1]o Passing the parameters to mapper and reducer[/indent]
[indent=1]o Hands On Exercise[/indent]
[indent=1]o Writing Custom key values[/indent]
[indent=1]o Writing Custom Partitioner[/indent]
[indent=1]o Hands On Exercise[/indent]
[indent=1]o Writing Custom Input Format[/indent]
[indent=1]o Hands On[/indent]
· Secondary Sorting
[indent=1]o Motivation[/indent]
[indent=1]o Understanding[/indent]
[indent=1]o Hands On[/indent]
· Joins
[indent=1]o Map Side Join[/indent]
[indent=1]o Reduce Side join[/indent]
[indent=1]o Hands on[/indent]
· Practical development
[indent=1]o Calculating Number of Reducers[/indent]
[indent=1]o Map Only Jobs[/indent]
[indent=1]o Compression[/indent]
· Introduction to PIG
[indent=1]o Terminology[/indent]
[indent=1]o Understanding Pig Program, structure and Execution[/indent]
[indent=1]o Pig Data types[/indent]
[indent=1]o Loading and Dumping Data[/indent]
[indent=1]o Filtering[/indent]
[indent=1]o Group and Co-Group[/indent]
[indent=1]o Joins[/indent]
[indent=1]§ Inner Join[/indent]
[indent=1]§ Left Outer Join[/indent]
[indent=1]§ Right Outer Join[/indent]
[indent=1]§ Full Outer Join[/indent]
[indent=1]o Hands on[/indent]
· Introduction to Hive
[indent=1]o Motivation and Understanding Hive[/indent]
[indent=1]o Using Hive Command line Interface[/indent]
[indent=1]o Data types and File Formats[/indent]
[indent=1]o Basic DDL operations[/indent]
[indent=1]o Schema Design[/indent]


·

[training4u]

[color=#000000][font=helvetica, arial, sans-serif][size=5][b]Email:[/b][/size][/font][/color][color=#FF0000][font=helvetica, arial, sans-serif][size=5][b] [email protected] [/b][/size][/font][/color]

[color=#FF0000][font=helvetica, arial, sans-serif][b]Contact No: [/b][/font][/color][b]+91 9036 298 699[/b]

[color=#008080][font=helvetica, arial, sans-serif][size=5][b]www.onlinetrainings9.com[/b][/size][/font][/color]

[training4u]

[color=#000000][font=helvetica, arial, sans-serif][size=5][b]Email:[/b][/size][/font][/color][color=#FF0000][font=helvetica, arial, sans-serif][size=5][b] [email protected] [/b][/size][/font][/color]

[color=#FF0000][font=helvetica, arial, sans-serif][b]Contact No: [/b][/font][/color][b]+91 9036 298 699[/b]

[color=#008080][font=helvetica, arial, sans-serif][size=5][b]www.onlinetrainings9.com[/b][/size][/font][/color]

[b][color=#0000FF][size=6]Hadoop New batch starting from 30th Apr at 8 AM(IST)||29th Apr at 10.30 PM(EST).[/size][/color][/b]

[training4u]

[color=#000000][font=helvetica, arial, sans-serif][size=5][b]Email:[/b][/size][/font][/color][color=#FF0000][font=helvetica, arial, sans-serif][size=5][b] [email protected] [/b][/size][/font][/color]

[color=#FF0000][font=helvetica, arial, sans-serif][b]Contact No: [/b][/font][/color][b]+91 9036 298 699[/b]

[color=#008080][font=helvetica, arial, sans-serif][size=5][b]www.onlinetrainings9.com[/b][/size][/font][/color]

[b][color=#0000FF][size=6]Hadoop New batch starting from 30th Apr at 8 AM(IST)||29th Apr at 10.30 PM(EST).[/size][/color][/b]

[training4u]

[color=#000000][font=helvetica, arial, sans-serif][size=5][b]Email:[/b][/size][/font][/color][color=#FF0000][font=helvetica, arial, sans-serif][size=5][b] [email protected] [/b][/size][/font][/color]

[color=#FF0000][font=helvetica, arial, sans-serif][b]Contact No: [/b][/font][/color][b]+91 9036 298 699[/b]

[color=#008080][font=helvetica, arial, sans-serif][size=5][b]www.onlinetrainings9.com[/b][/size][/font][/color]

[b][color=#0000FF][size=6]Hadoop New batch starting from 30th Apr at 8 AM(IST)||29th Apr at 10.30 PM(EST).[/size][/color][/b]