Hadoop Bigdata New Batch Starting On 16Th May At 7 Am(Ist)

[training4u]

[color=#282828][font=helvetica, arial, sans-serif][size=6][color=#000000][b]Email:[/b][/color][color=#FF0000][b] [email protected] [/b][/color]

[color=#FF0000][b]Contact No: [/b][/color][b]+91 9036 298 699[/b][/size][/font]

[font=helvetica, arial, sans-serif][size=6][b][color=#0000FF]Hadoop Bigdata new batch starting on 16th May at 7 AM(IST) || 15th May at 9.30 PM(EST).[/color][/b]

[color=#008080][b]www.onlinetrainings9.com[/b][/color][/size][/font]



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

[font=helvetica, arial, sans-serif]· Introduction and Motivation of Hadoop[/font]

[font=helvetica, arial, sans-serif]o What is Big Data[/font][/color]

[indent=1][font=helvetica, arial, sans-serif]o Challenges in Big Data[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Challenges in Traditional Application[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o New Requirements[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o What is Hadoop[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Brief history of Hadoop[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Features of Hadoop[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hadoop v/s RDBMS[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hadoop Ecosystem’s overview[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Overview of HDFS and MapReduce[/font][/indent]
[font=helvetica, arial, sans-serif]· Understanding Hadoop Distributed File System[/font]
[font=helvetica, arial, sans-serif]o Understanding Configuration[/font]


[indent=1][font=helvetica, arial, sans-serif]o HDFS Concepts[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Blocks[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Replication[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Version File[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Safe mode[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ NameSpace IDs[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Reading and Writing in HDFS[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Understanding NameNode[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Understanding Data Node[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Understanding Secondary NameNode[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Understanding Job Tracker[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Understanding Task Tracker[/font][/indent]
[font=helvetica, arial, sans-serif]· HDFS Shell Commands[/font]
[font=helvetica, arial, sans-serif]o Hands On Exercise[/font]
[font=helvetica, arial, sans-serif]· Accessing HDFS using API[/font]
[font=helvetica, arial, sans-serif]o Understanding HDFS Java classes and methods[/font]


[indent=1][font=helvetica, arial, sans-serif]o Hands On Exercise[/font][/indent]
[font=helvetica, arial, sans-serif]· Map Reduce Programming[/font]
[font=helvetica, arial, sans-serif]o Understanding block and input splits[/font]


[indent=1][font=helvetica, arial, sans-serif]o Common Input and Output Formats[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o MapReduce Data types[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Understanding Writable and WritableComparable (Introduction)[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Data Flow in MapReduce Application[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Understanding WordCount problem[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Writing MapReduce Application[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Understanding Mapper function[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Understanding Reducer Function[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Understanding Driver[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Understanding Tool Runner[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Hands on Exercise[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Older and Newer API[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Solving common problems[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Average word length[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Inverted Index[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Word Co-Occurrence[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Searching[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Sorting[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Hands on exercise[/font][/indent]
[font=helvetica, arial, sans-serif]· MapReduce Continued[/font]
[font=helvetica, arial, sans-serif]o Using Combiner[/font]


[indent=1][font=helvetica, arial, sans-serif]o Using Distributed Cache[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Passing the parameters to mapper and reducer[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hands On Exercise[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Writing Custom key values[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Writing Custom Partitioner[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hands On Exercise[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Writing Custom Input Format[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hands On[/font][/indent]
[font=helvetica, arial, sans-serif]· Secondary Sorting[/font]
[font=helvetica, arial, sans-serif]o Motivation[/font]


[indent=1][font=helvetica, arial, sans-serif]o Understanding[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hands On[/font][/indent]
[font=helvetica, arial, sans-serif]· Joins[/font]
[font=helvetica, arial, sans-serif]o Map Side Join[/font]


[indent=1][font=helvetica, arial, sans-serif]o Reduce Side join[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hands on[/font][/indent]
[font=helvetica, arial, sans-serif]· Practical development[/font]

[font=helvetica, arial, sans-serif]o Calculating Number of Reducers[/font]


[indent=1][font=helvetica, arial, sans-serif]o Map Only Jobs[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Compression[/font][/indent]
[font=helvetica, arial, sans-serif]· Introduction to PIG[/font]

[font=helvetica, arial, sans-serif]o Terminology[/font]


[indent=1][font=helvetica, arial, sans-serif]o Understanding Pig Program, structure and Execution[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Pig Data types[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Loading and Dumping Data[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Filtering[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Group and Co-Group[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Joins[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Inner Join[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Left Outer Join[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Right Outer Join[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]§ Full Outer Join[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Hands on[/font][/indent]
[font=helvetica, arial, sans-serif]· Introduction to Hive[/font]



[indent=1][font=helvetica, arial, sans-serif]o Motivation and Understanding Hive[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Using Hive Command line Interface[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Data types and File Formats[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Basic DDL operations[/font][/indent]
[indent=1][font=helvetica, arial, sans-serif]o Schema Design[/font][/indent][list]
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[training4u]

[color=#000000][font=helvetica, arial, sans-serif][size=6][b]Email:[/b][/size][/font][/color][color=#FF0000][font=helvetica, arial, sans-serif][size=6][b] [email protected] [/b][/size][/font][/color]

[color=#FF0000][font=helvetica, arial, sans-serif][size=6][b]Contact No: [/b][/size][/font][/color][b]+91 9036 298 699[/b]