Hadoop Big Data Demo On 9Th June 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][/size][/font][/color]

[color=#000000][font=helvetica, arial, sans-serif][size=6][b]Contact No: [/b][/size][/font][/color][color=#FF0000][font=helvetica, arial, sans-serif][size=6][b]+91 9036 298 699[/b][/size][/font][/color]


[color=#282828][font=helvetica, arial, sans-serif][size=6][b][color=#0000FF]Hadoop Bigdata demo [/color][/b][/size][/font][/color][b][size=6][color=#0000FF]on 9[/color][/size][/b][b][color=#0000FF][size=6]th June at 8 PM(IST)[/size][/color][size=6][color=#0000FF] [/color][/size][/b][color=#282828][font=helvetica, arial, sans-serif][size=6][b][color=#0000FF]|| 9th[/color][/b][/size][/font][/color][b][color=#0000FF][size=6] June [/size][/color][/b][color=#282828][font=helvetica, arial, sans-serif][size=6][b][color=#0000FF]at 10.30 AM(EST).[/color][/b][/size][/font][/color]

[color=#800080][font=helvetica, arial, sans-serif][size=6][b]Hadoop Training Course Contents[/b][/size][/font][/color]
[color=#282828][font=helvetica, arial, sans-serif]· Introduction and Motivation of Hadoop[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o What is Big Data[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Challenges in Big Data[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Challenges in Traditional Application[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o New Requirements[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o What is Hadoop[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Brief history of Hadoop[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Features of Hadoop[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Hadoop v/s RDBMS[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Hadoop Ecosystem’s overview[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Overview of HDFS and MapReduce[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif]· Understanding Hadoop Distributed File System[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Configuration[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o HDFS Concepts[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Blocks[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Replication[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Version File[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Safe mode[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Namespace IDs[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Reading and Writing in HDFS[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Name Node[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Data Node[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Secondary Name Node[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Job Tracker[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Task Tracker[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif]· HDFS Shell Commands[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Hands On Exercise[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif]· Accessing HDFS using API[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding HDFS Java classes and methods[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Hands On Exercise[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif]· Map Reduce Programming[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding block and input splits[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Common Input and Output Formats[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o MapReduce Data types[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Writable and WritableComparable (Introduction)[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Data Flow in MapReduce Application[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding WordCount problem[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Writing MapReduce Application[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Understanding Mapper function[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Understanding Reducer Function[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Understanding Driver[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Understanding Tool Runner[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Hands on Exercise[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif]· MapReduce Continued[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Using Combiner[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Using Distributed Cache[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Passing the parameters to mapper and reducer[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Hands On Exercise[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Writing Custom key values[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Writing Custom Partitioner[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Hands On Exercise[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif]· Introduction to PIG[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Terminology[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Understanding Pig Program, structure and Execution[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Pig Data types[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Loading and Dumping Data[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Filtering[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Group and Co-Group[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Joins[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Inner Join[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Left Outer Join[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Right Outer Join[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]§ Full Outer Join[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Hands on[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif]· Introduction to Hive[/font][/color]

[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Motivation and Understanding Hive[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Using Hive Command line Interface[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Data types and File Formats[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Basic DDL operations[/font][/color][/indent]
[color=#282828][font=helvetica, arial, sans-serif][indent=1]o Schema Design[/font][/color][/indent]
[b]Hadoop Ecosystem and Other Related Projects[/b]
[color=#282828][font=helvetica, arial, sans-serif]· [/font][/color][b]HBase[/b]
[color=#282828][font=helvetica, arial, sans-serif]· [/font][/color][b]Sqoop[/b]
[color=#282828][font=helvetica, arial, sans-serif]· [/font][/color][b]Flume[/b]
[color=#282828][font=helvetica, arial, sans-serif]· [/font][/color][b]Oozie[/b]