training4u Posted April 14, 2013 Report Posted April 14, 2013 [color=#282828][size=4] [color=#FF0000][font=helvetica, arial, sans-serif][size=6]EMAIL : [email protected][/size][/font][/color] [color=#FF0000][font=helvetica, arial, sans-serif][size=6]contact No : +91 9036298699[/size][/font][/color] [size=6][b][color=#0000FF]Hadoop Demo On 18th Apr at 8 AM(IST)[font=helvetica, arial, sans-serif] || [/font][/color] [color=#0000FF][font=helvetica, arial, sans-serif]17th Apr at 10.30 PM(EST).[/font][/color] [/b][/size][/size][/color]<p> [b]Hadoop and Amazon Web Service-Map Reduce Complete Training course details: [/b] [b]Exercises:[/b] [b]1. Introduction to HADOOP[/b] [b]2. Hadoop Architecture Details[/b] [b]3. HDFS ( Hadoop - Distributed File System)[/b] [b]4) MapReduce Programming[/b] [b]5) Hadoop Streaming[/b] [b]6) Introduction to Amazon Map Reduce (AMR)[/b] [b]7) Hadoop Ecosystem and Other Related Projects[/b] [b]8) Hadoop Data Center Deployment[/b] [b]9) Hadoop Cluster Administration[/b] [b]9) Hadoop Business Case[/b] [b]10) Hadoop and Cloud Computing[/b] [b]Certification Help:[/b][url="http://www.andhrafriends.com/index.php?app=forums&module=post§ion=post&do=reply_post&f=15&t=402204&qpid=1303595871"]Quote[/url][list] [*]Hadoop Virtual Machine Setup [*]Configuring Hadoop in Single Cluster. [*]Loading/UnLoading Data in Distributed HDFS System. [*]Amazon Map Reduce based Hadoop setup - Multi Cluster Mode. [*]Process and Metrics Analysis for Hadoop Output. [*]Apache Pig Installation and script execution. [*]NOSQL Data setup and Integration with Hadoop. [*]HiveQL commands and scripts . [*]HBASE Map Reduce examples. [*]Many more examples and exercises /assignments [*]Distributed computing , cloud computing [*]Big data Basics and Need for Parallel Processing [*]How Hadoop works ? [*]Introduction to HDFS and Map Reduce [*]Name Node [*]Data Node [*]Secondary Name Node [*]Job Tracker [*]Task Tracker [*]Hadoop Distributed file system , Background, GFS [*]Data Replication [*]Data Storage [*]Data Retrieval [*]Additional HDFS commands [*]MapReduce, Background [*]Writing MapReduce Programs [*]Writable and WritableComparable [*]Input Format, Output Format [*]Input Split and Block size [*]Combiner [*]Partitioner [*]Number of Mappers and Reducers [*]Counters [*]How Streaming Works ? [*]Writing MapReduce programs in other languages [*]MapReduce using Cloud [*]AWS MapReduce and EC2 [*]AWS-MR Architecture. [*]Multipl Cluster Deployment using AWS-S3 [*]Hive [*]Pig [*]HBase [*]Sqoop [*]Flume [*]Oozie [*]Basic Hadoop data center deployment techniques [*]Networking challenges in Hadoop Deployment [*]Disaster Recovery ( DR ) in Hadoop . [*]Master / Salve Configuration [*]Important Directroires [*]Small, Medium and Large Cluster considerations [*]Hadoop Monitoring - GANGLIA ,NAGIOS [*]Why Hadoop is NOT a Silver Bullet for all your problems. [*]When to use Hadoop- Business Cases [*]When NOT to use Hadoop - Business Case [*]Using Cloud technologies for distributed processing [*]Hadoop on Amazon Web Service. [*]Hadoop in Oracle Cloud / RackSpace [*]Exam Papers for Cloudera Certified Hadoop Developer/Administrator. [*]Preparation help and Guidance. [b]Hadoop and Amazon Web Service-Map Reduce Complete Training course details: [/b] [b]Exercises:[/b] [b]1. Introduction to HADOOP[/b] [b]2. Hadoop Architecture Details[/b] [b]3. HDFS ( Hadoop - Distributed File System)[/b] [b]4) MapReduce Programming[/b] [b]5) Hadoop Streaming[/b] [b]6) Introduction to Amazon Map Reduce (AMR)[/b] [b]7) Hadoop Ecosystem and Other Related Projects[/b] [b]8) Hadoop Data Center Deployment[/b] [b]9) Hadoop Cluster Administration[/b] [b]9) Hadoop Business Case[/b] [b]10) Hadoop and Cloud Computing[/b] [b]Certification Help:[/b] [list] [*]Hadoop Virtual Machine Setup [*]Configuring Hadoop in Single Cluster. [*]Loading/UnLoading Data in Distributed HDFS System. [*]Amazon Map Reduce based Hadoop setup - Multi Cluster Mode. [*]Process and Metrics Analysis for Hadoop Output. [*]Apache Pig Installation and script execution. [*]NOSQL Data setup and Integration with Hadoop. [*]HiveQL commands and scripts . [*]HBASE Map Reduce examples. [*]Many more examples and exercises /assignments [*]Distributed computing , cloud computing [*]Big data Basics and Need for Parallel Processing [*]How Hadoop works ? [*]Introduction to HDFS and Map Reduce [*]Name Node [*]Data Node [*]Secondary Name Node [*]Job Tracker [*]Task Tracker [*]Hadoop Distributed file system , Background, GFS [*]Data Replication [*]Data Storage [*]Data Retrieval [*]Additional HDFS commands [*]MapReduce, Background [*]Writing MapReduce Programs [*]Writable and WritableComparable [*]Input Format, Output Format [*]Input Split and Block size [*]Combiner [*]Partitioner [*]Number of Mappers and Reducers [*]Counters [*]How Streaming Works ? [*]Writing MapReduce programs in other languages [*]MapReduce using Cloud [*]AWS MapReduce and EC2 [*]AWS-MR Architecture. [*]Multipl Cluster Deployment using AWS-S3 [*]Hive [*]Pig [*]HBase [*]Sqoop [*]Flume [*]Oozie [*]Basic Hadoop data center deployment techniques [*]Networking challenges in Hadoop Deployment [*]Disaster Recovery ( DR ) in Hadoop . [*]Master / Salve Configuration [*]Important Directroires [*]Small, Medium and Large Cluster considerations [*]Hadoop Monitoring - GANGLIA ,NAGIOS [*]Why Hadoop is NOT a Silver Bullet for all your problems. [*]When to use Hadoop- Business Cases [*]When NOT to use Hadoop - Business Case [*]Using Cloud technologies for distributed processing [*]Hadoop on Amazon Web Service. [*]Hadoop in Oracle Cloud / RackSpace [*]Exam Papers for Cloudera Certified Hadoop Developer/Administrator. [*]Preparation help and Guidance. [/list] [/list][list] [*][url="http://www.andhrafriends.com/index.php?app=core&module=global§ion=reputation&do=add_rating&app_rate=forums&type=pid&type_id=1303595871&rating=1&secure_key=a2780818694b048fddb1503fcdd6594d&post_return=1303595871"]Like This[/url] [/list] Quote
training4u Posted April 15, 2013 Author Report Posted April 15, 2013 [color=#282828][font=helvetica, arial, sans-serif][color=#FF0000][size=6]EMAIL : [email protected][/size][/color] [color=#FF0000][size=6]contact No : +91 9036298699[/size][/color] [size=6][b][color=#0000FF]Hadoop Demo On 18th Apr at 8 AM(IST) || [/color] [color=#0000FF]17th Apr at 10.30 PM(EST).[/color] [/b][/size][/font][/color][color=#282828][font=helvetica, arial, sans-serif]<p>[/font][/color] Quote
training4u Posted April 15, 2013 Author Report Posted April 15, 2013 [color=#282828][font=helvetica, arial, sans-serif][color=#FF0000][size=6]EMAIL : [email protected][/size][/color] [color=#FF0000][size=6]contact No : +91 9036298699[/size][/color] [size=6][b][color=#0000FF]Hadoop Demo On 18th Apr at 8 AM(IST) || [/color] [color=#0000FF]17th Apr at 10.30 PM(EST).[/color] [/b][/size][/font][/color][color=#282828][font=helvetica, arial, sans-serif]<p>[/font][/color] Quote
training4u Posted April 16, 2013 Author Report Posted April 16, 2013 [color=#FF0000][font=helvetica, arial, sans-serif][size=6]EMAIL : [email protected][/size][/font][/color] [color=#FF0000][font=helvetica, arial, sans-serif][size=6]contact No : +91 9036298699[/size][/font][/color] [color=#282828][font=helvetica, arial, sans-serif][size=6][b][color=#0000FF]Hadoop Demo On 18th Apr at 8 AM(IST) || [/color] [color=#0000FF]17th Apr at 10.30 PM(EST)[/color][/b][/size][/font][/color] Quote
training4u Posted April 16, 2013 Author Report Posted April 16, 2013 [color=#FF0000][font=helvetica, arial, sans-serif][size=6]EMAIL : [email protected][/size][/font][/color] [color=#FF0000][font=helvetica, arial, sans-serif][size=6]contact No : +91 9036298699[/size][/font][/color] Quote
training4u Posted April 16, 2013 Author Report Posted April 16, 2013 [color=#FF0000][font=helvetica, arial, sans-serif][size=6]EMAIL : [email protected][/size][/font][/color] [color=#FF0000][font=helvetica, arial, sans-serif][size=6]contact No : +91 9036298699[/size][/font][/color] Quote
training4u Posted April 17, 2013 Author Report Posted April 17, 2013 [color=#FF0000][font=helvetica, arial, sans-serif][size=6]EMAIL : [email protected][/size][/font][/color] [color=#FF0000][font=helvetica, arial, sans-serif][size=6]contact No : +91 9036298699[/size][/font][/color] Quote
training4u Posted April 17, 2013 Author Report Posted April 17, 2013 [color=#282828][font=helvetica, arial, sans-serif][color=#FF0000][size=6]EMAIL : [email protected][/size][/color] [color=#FF0000][size=6]contact No : +91 9036298699[/size][/color] [size=6][b][color=#0000FF]Hadoop Demo On 18th Apr at 8 AM(IST) || [/color] [color=#0000FF]17th Apr at 10.30 PM(EST).[/color] [/b][/size][/font][/color][color=#282828][font=helvetica, arial, sans-serif]<p>[/font][/color] Quote
training4u Posted April 18, 2013 Author Report Posted April 18, 2013 [color=#FF0000][font=helvetica, arial, sans-serif][size=6]EMAIL : [email protected][/size][/font][/color] [color=#FF0000][font=helvetica, arial, sans-serif][size=6]contact No : +91 9036298699[/size][/font][/color] [color=#282828][font=helvetica, arial, sans-serif][size=6][b][color=#0000FF]Hadoop Demo On 18th Apr at 8 AM(IST) || [/color] [color=#0000FF]17th Apr at 10.30 PM(EST)[/color][/b][/size][/font][/color] Quote
Recommended Posts
Join the conversation
You can post now and register later. If you have an account, sign in now to post with your account.