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Hadoop Consultant Training Video for self study NEW

Hadoop Consultant Training Video for self study NEW

Erpselftraining offers best HADOOP pre-recorded Online training.

The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using a simple programming model.

Hadoop: Overview

    Move computation not data.

    Hadoop performance and data scale facts.

    Hadoop in the context of other data stores.

    The Apache Hadoop Project.

    Hadoop – an inside view: MapReduce and HDFS.

    The Hadoop Ecosystem.

    What about NoSQL?

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

    Important Hadoop Daemon Properties

    Hadoop Daemon Addresses and Ports

    Post Install

    Benchmarking a Hadoop Cluster: TeraByte Sort on Apache

    Hadoop on Amazon EC2

    Monitoring, Logging Routine Administration Procedures

    Commissioning and Decommissioning Nodes



    Installing and Running Pig

    Execution Types

    Running Pig Programs

    User-Defined Functions


    Basic concepts.





    Concepts Data Model, Schema Design

    Test Drive

    Clients Java

    REST and Thrift



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