Hadoop Administration

Eğitim Tipi : Sanal Sınıf / Online
Süre : 4 Gün
  1. Anasayfa
  2. Hadoop Administration

Açıklama

    Bu eğitimde katılımcılar Hadoop ve HDFS ile çalışma hakkında her şeyi öğrenirler.

     

    Bu eğitimde neler öğreneceksiniz?

    • Hadoop’un temel kavramları
    • Hadoop kümenizi planlama
    • HDFS özellikleri
    • HDFS’e nasıl veri aktarılacağı
    • MapReduce ile çalışma
    • Hadoop yükleme ve yapılandırma
    • Küme bakımı

Eğitim İçeriği

Hadoop Overview

  • What is Big Data?
  • How did we get to this point?
  • How does Hadoop compare to a relational database system?
  • Big Data Introduction
  • History
  • Comparison to Relational Databases
  • Hadoop Ecosystem

HDFS

  • Architecture/Concepts
  • Access
  • Namenodes
  • Filesystem Shell
  • Accessing HDFS with Java
  • Reading/Writing/Browsing file system

HBASE

  • Overview
  • Architecture
  • Data Model
  • Installation and Shell
  • Access via Java API
  • Administration access via Java
  • Scan API
  • Filters
  • Storage Model
  • Table Design

Map Reduce on YARN

  • Introduction
  • Processing Model
  • Command line tools
  • MapReduce framework
  • Submitting MapReduce Jobs
  • Writing MapReduce jobs in Java
  • MapReduce Theory
  • Distributive Cache
  • Speculative Executin
  • YARN Components
  • Counters
  • Details of MapReduce Job Execution

Hadoop Streaming

  • Implementing a streaming job
  • Counters in streaming jobs
  • Contrast with Java Jobs

MapReduce Workflows

  • Problem decomposition into MapReduce Jobs
  • Coding workflows
  • Using the JobControl Class

Oozie

  • Oozie Installation
  • Writing Oozie workflows
  • Deploying and running Oozie jobs

Pig

  • Installation
  • Pig Latin
  • Writing Pig Scripts
  • User Defined functions
  • Data set joins

Hive

  • Installation
  • Table creation and deletion
  • Partitioning
  • Loading data into Hive
  • Joins
  • Bucketing

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