MAP R Admin

MAP R Admin

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    Introduction

    MAP R offers a trusted enterprise grade platform that base a broad set of mission critical and real time production uses with the help of Hadoop. Map R technologies provide distribution facility to Hadoop and offers Hadoop with unique features like cost effective, performance, trustworthiness, easy to use and real time production. It creates bizarre dependability, world record speed and ease of use to NO SQL, Database, Hadoop and streaming applications in single distribution for Hadoop. It is emerging technology and its use in every field and in all sizes of organizations. The prominent function of admin is to set up, deploy, maintain and secure a Hadoop cluster.

    COURSE SUMMARY

    Course Name MAP R Admin Online Training
    Contents Fundamentals and Role of MAP R Admin
    Duration 30 Hours with Flexible timings
    Delivery Instructor Led-Live Online Training
    Eligibility Any Graduate
    Ideal For Aspiring job seekers in the field of Programming or Administration
    Next Batch Please visit the schedule section

    Course Objectives

    • Understand overview of MapR administration and management.
    • Introduction to MapReduce and Apache Hadoop.
    • Working with Mirrors, Volumes and Snapshots.
    • Configure clusters for High Availability.
    • Understand MapR Lockless and MapReduce Storage Services.
    • Manage nodes through the life cycle of a cluster.
    • Verify system requirements for the hardware and operating system.
    • Understand the Basics of MapR Architecture.
    • Monitor and maintain clusters for health and peak performance.
    • Tone clusters for best performance.
    • Disaster recovery.

    PRE-REQUISITES: 

    • Basic Commands Knowledge of SQL, Scripting, UNIX, Experience in any Programming Language

    Course Curriculum

    MODULE 1: BIG DATA OVERVIEW

    TOPICS: Why Big Data is Gaining Popularity, What is Big Data, Big Data Characteristics, Big Data Case Studies, Solutions to Work on Big Data

    MODULE 2: INTRODUCTION TO HADOOP CORE

    TOPICS: How Data Got Big, Distributed File Systems, Hadoop the Big Data Solution, the Mapreduce Paradigm

    MODULE 3: HADOOP ECOSYSTEM AND USE CASES

    TOPICS: Flume, Hbase, Sqoop, Oozie, Mahout, Hive, Spark, Pig, Hadoop Workflow, Drill, Data Warehouse Optimization Use Case, Recommendation Engines Use Case, Improving Log Analysis Use Case

    MODULE 4: OVERVIEW OF MAPR DISTRIBUTION

    TOPICS: Testing CPU and Ram, Using Benchmarks, Cluster Planning, Testing Network Performance, High Availability and Service Layout, Testing Storage Throughput

    MODULE 5: HADOOP & ITS COMPONENTS

    TOPICS: Overview of Hadoop, Configure Hadoop Cluster in Different Mode, Introduction to HDFS, Characteristics Of Hadoop Data It Can Process, Components of Hadoop, Hadoop Architecture, Read Write to Hadoops File System, History of Hadoop, Hadoop Framework

    MODULE 6: HADOOP CLUSTER PLANNING AND MONITORING

    TOPICS: Setting Up And Responding to Alarms, Cluster Monitoring Tools, Setting Up Email, Learn the Hardware or Software to Plan Hadoop Cluster, Plan Hadoop Cluster, Understanding Planning and Workloads Cluster to Keep Away Failures and Optimization of Performance

    MODULE 7: CONFIGURING CLUSTER STORAGE RESOURCES

    TOPICS: Planning Cluster Topologies, Working With Volumes, Storage Components, Scheduling, Allocating And Managing Resources, Tuning The Cluster

    MODULE 8: ONGOING CLUSTER MAINTENANCE

    TOPICS: Managing Services, Adding and Replacing Disks, Removing, Analyzing Tools and Logs, Troubleshooting

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