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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
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
| Eğitim Detayları | |
| Süre | 4 Gün |
| Kontenjan | Max 12 Kişi |
| Eğitim Tipi | Sınıf / Sanal Sınıf |