Hadoop Administration

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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