saiit9 Posted November 5, 2012 Report Posted November 5, 2012 [b]Hi All,[/b] [b]We are providing online training on [color=#0000ff]HADOOP BIG DATA (Admin & Developer)[/color]. If anyone interested, please contact us[/b] [b]Email: [email="[email protected]"][email protected][/email] [/b] [b] [/b] [b]Contact No: +91-8123414771[/b] [color=#0000ff][b]HADOOP Admin Content.[/b][/color] [b]Introduction[/b] [b]The Case for Apache Hadoop[/b][list] [*]A brief history of Hadoop [*]Core Hadoop components [*]Fundamental concepts [/list] [b]The Hadoop Distributed File System[/b][list] [*]HDFS features [*]HDFS design assumptions [*]Overview of HDFS architecture [*]Writing and reading files [*]NameNode considerations [*]An overview of HDFS security [*]Hands-On Exercise [/list] [b]MapReduce[/b][list] [*]What is MapReduce? [*]Features of MapReduce [*]Basic MapReduce concepts [*]Architectural overview [*]Failure recovery [*]Hands-On Exercise [/list] [b]An Overview of the Hadoop Ecosystem[/b][list] [*]What is the Hadoop ecosystem? [*]Integration tools [*]Analysis tools [*]Data storage and retrieval tools [/list] [b]Planning your Hadoop Cluster[/b][list] [*]General planning considerations [*]Choosing the right hardware [*]Network considerations [*]Configuring nodes [/list] [b]Hadoop Installation[/b][list] [*]Installing Hadoop [*]Using Cloudera Manager for easy installation [*]Basic configuration parameters [*]Hands-On Exercise [/list] [b]Advanced Configuration[/b][list] [*]Advanced parameters [*]Configuring rack awareness [*]Configuring Federation [*]Configuring High Availability [/list] [b]Managing and Scheduling Jobs[/b][list] [*]Managing running jobs [*]Hands-On Exercise [*]The FIFO Scheduler [*]The FairScheduler [*]Configuring the FairScheduler [*]Hands-On Exercise [/list] [b]Cluster Maintenance[/b][list] [*]Checking HDFS status [*]Hands-On Exercise [*]Copying data between clusters [*]Adding and removing cluster nodes [*]Rebalancing the cluster [*]Hands-On Exercise [*]NameNode Metadata backup [*]Cluster upgrading [/list] [b]Cluster Monitoring and Troubleshooting[/b][list] [*]General system monitoring [*]Managing Hadoop’s log files [*]Using the NameNode and JobTracker Web UIs [*]Hands-On Exercise [*]Cluster monitoring with Ganglia [*]Common troubleshooting issues [*]Benchmarking your cluster [/list] [b]Populating HDFS from External Sources[/b][list] [*]An overview of Flume [*]Hands-On Exercise [*]An overview of Sqoop [*]Best practices for importing data [/list] [b]Installing and Managing Other Hadoop Projects[/b][list] [*]Hive [*]Pig [*]HBase [/list] [color=#0000ff][b]HADOOP Developer Content:[/b][/color] [b]Introduction[/b] [b]The Motivation for Hadoop[/b][list] [*]Problems with traditional large-scale systems [*]Requirements for a new approach [/list] [b]Hadoop: Basic Concepts[/b][list] [*]An Overview of Hadoop [*]The Hadoop Distributed File System [*]Hands-On Exercise [*]How MapReduce Works [*]Hands-On Exercise [*]Anatomy of a Hadoop Cluster [*]Other Hadoop Ecosystem Components [/list] [b]Writing a MapReduce Program[/b][list] [*]The MapReduce Flow [*]Examining a Sample MapReduce Program [*]Basic MapReduce API Concepts [*]The Driver Code [*]The Mapper [*]The Reducer [*]Hadoop’s Streaming API [*]Using Eclipse for Rapid Development [*]Hands-on exercise [*]The New MapReduce API [/list] [b]Integrating Hadoop into the Workflow[/b][list] [*]Relational Database Management Systems [*]Storage Systems [*]Importing Data from RDBMSs With Sqoop [*]Hands-on exercise [*]Importing Real-Time Data with Flume [*]Accessing HDFS Using FuseDFS and Hoop [/list] [b]Delving Deeper Into The Hadoop API[/b][list] [*]More about ToolRunner [*]Testing with MRUnit [*]Reducing Intermediate Data With Combiners [*]The configure and close methods for Map/Reduce Setup and Teardown [*]Writing Partitioners for Better Load Balancing [*]Hands-On Exercise [*]Directly Accessing HDFS [*]Using the Distributed Cache [*]Hands-On Exercise [/list] [b]Common MapReduce Algorithms[/b][list] [*]Sorting and Searching [*]Indexing [*]Machine Learning With Mahout [*]Term Frequency – Inverse Document Frequency [*]Word Co-Occurrence [*]Hands-On Exercise [/list] [b]Using Hive and Pig[/b][list] [*]Hive Basics [*]Pig Basics [*]Hands-on exercise [/list] [b]Practical Development Tips and Techniques[/b][list] [*]Debugging MapReduce Code [*]Using LocalJobRunner Mode For Easier Debugging [*]Retrieving Job Information with Counters [*]Logging [*]Splittable File Formats [*]Determining the Optimal Number of Reducers [*]Map-Only MapReduce Jobs [*]Hands-On Exercise [/list] [b]Joining Data Sets in MapReduce[/b][list] [*]Map-Side Joins [*]The Secondary Sort [*]Reduce-Side Joins [/list] [b]Graph Manipulation in Hadoop[/b][list] [*]Introduction to graph techniques [*]Representing graphs in Hadoop [*]Implementing a sample algorithm: Single Source Shortest Path [/list] [b]Creating Workflows With Oozie[/b][list] [*]The Motivation for Oozie [*]Oozie’s Workflow Definition Format [*]Hands-On Exercise [/list] Quote
saiit9 Posted November 5, 2012 Author Report Posted November 5, 2012 [b]Hi All,[/b] [b]We are providing online training on [color=#0000FF]HADOOP BIG DATA (Admin & Developer)[/color]. If anyone interested, please contact us[/b] [b]Email: [email="[email protected]"][email protected][/email] [/b] [b] [/b] [b]Contact No: +91-8123414771[/b] Quote
saiit9 Posted November 6, 2012 Author Report Posted November 6, 2012 [b]Hi All,[/b] [b]We are providing online training on [color=#0000FF]HADOOP BIG DATA (Admin & Developer)[/color]. If anyone interested, please contact us[/b] [b]Email: [email="[email protected]"][email protected][/email] [/b] [b] [/b] [b]Contact No: +91-8123414771[/b] Quote
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