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Hadoop Online Training Demo On 15Th Dec At 7.30Pm(Ist)


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[color=#282828]
[size=5][color=#FF0000]Email [/color][/size]: [size=5]saionlinetraining@gmail com [/size]
[size=5][color=#FF0000]Contact No[/color] : +91 9036 298 699 [/size]

[color=#FF0000][size=5]HADOOP Online Training Course Content (Duration:: 35 hours)[/size][/color]

[color=#0000CD]Overview[/color]

• Move computation not data
• Hadoop performance and data scale facts
• Hadoop in the context of other data stores
• The Apache Hadoop Project
• The Hadoop Ecosystem

MapReduce Map and Reduce
• Java Map Reduce
• Running a Distributed Map
• Reduce Job Hadoop Streaming: Python

The Hadoop Distributed Filesystem
• HDFS Design & Concepts
• Blocks, Namenodes and Datanodes
• hadoop fs The Command-Line Interface
• Basic Filesystem Operations
• Reading Data from a Hadoop URL
• Reading Data Using the FileSystem API
• Data Flow Anatomy of a File Read
• Anatomy of a File Write Coherency Model

How MapReduce Works
• Anatomy of a MapReduce Job Run
• Job Submission Job Initialization, Task Assignment, Task Execution
• Progress and Status Updates
• Job Completion, Failures
• Job Scheduling
• Fair Scheduler
• Shuffle and Sort - Map Side, Reduce Side
• Configuration Tuning
• Task Execution, Speculative Execution, Task JVM Reuse, Skipping Bad Records
• The Task Execution Environment
• Distributed Cache

Hadoop Administrator
• Setting Up a Hadoop Cluster
• Cluster Specification
• Network Topology
• Cluster Setup and Installation
• SSH Configuration
• Hadoop Configuration
• Configuration Management
• Environment Settings

Hadoop Daemon Addresses and Ports
Benchmarking a Hadoop Cluster: TeraByte Sort on Apache
Monitoring, Logging Routine Administration Procedures

Installing and Running Pig
Execution Types
Running Pig Programs
User-Defined Functions

HiveQL.
Serdes
Metastore

HBase
Concepts Data Model, Schema Design
Test Drive
REST and Thrift
Metrics [/color][list]
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Demo on [color=#323232][font=Helvetica, Arial, sans-serif][size=4]15Th Dec At 7.30Pm(Ist)[/size][/font][/color]

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