Apache Hadoop and MapReduce Essentials E-Learning Kurs




Apache Hadoop and MapReduce Essentials E-Learning Kurs
Apache Hadoop und MapReduce Essentials ✓ Preisgekröntes E-Learning ✓ Zertifizierte Pädagogen ✓ Quiz ✓ Zertifikat
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Bestellen Sie diesen einzigartigen E-Learning-Kurs Apache Hadoop und MapReduce Essentials online, 1 Jahr rund um die Uhr Zugriff auf umfangreiche interaktive Videos, Sprache, Fortschrittsüberwachung durch Berichte und Kapiteltests, um Wissen direkt zu testen.
Kursinhalt
Fundamentals of Hadoop
Course: 22 Minutes
- Course Introduction
- Basics of Hadoop
- Users of Hadoop
- The Four Vs of Big Data
- Sources of Big Data
- Clustering
- Introduction to Server Farms
Installing Hadoop
Course: 27 Minutes
- Hadoop Installation Considerations
- Testing your Hadoop Installation
- Your First Hadoop Cluster
- Hadoop Distributions
- Hadoop Ecosystem
- The Role of YARN
File Storage/Tools
Course: 28 Minutes
- Overview of Hadoop, Storage, MapReduce, Pig, and Hive4
- Understanding Data
- Types of NoSQL Databases
- Introduction to the Hadoop Distributed File System
- Interacting with the HDFS
- File Operations within the HDFS
Introduction to MapReduce
Course: 27 Minutes
- The MapReduce Principles, Mappers, and Reducers
- Using MapReduce with Pig and Hive
- Introduction to the MapReduce Life Cycle
- Understanding the MapReduce Data Flow
- Subdividing Data
Practice: Introduction to Apache Hadoop
Course: 15 Minutes
- Exercise: Apache Hadoop Basics
Writing MapReduce Programs
Course: 20 Minutes
- Course Introduction
- Creating Job Components
- Understanding MapReduce with a Conceptual Example
- Hadoop MapReduce and Java
- Executing Hadoop MapReduce Jobs
Programming Considerations and Techniques
Course: 23 Minutes
- Job Flow Progress and Monitoring
- Chaining MapReduce Jobs
- Executing Commands
- How Data is Processed, Persisted, and Read on the HDFS
- Understanding Persistence and Types of Big Data
Using Hive and Pig
Course: 35 Minutes
- Using HiveQL to Write Queries
- Understanding Hive File Formats
- Working with Custom Hive Data Types
- Using Pig Latin to Communicate with Hadoop
- Writing Pig Scripts
- Loading and Storing Data in Pig
- Comparing Performance: MapReduce, Hive, and Pig
Unit Testing with MapReduce
Course: 29 Minutes
- Understanding High-Level Processing
- Viewing Job Status and Log Files
- Killing MapReduce Jobs
- Using JUnit
- Introduction to MRUnit
- Using a Mini MapReduce and HDFS Cluster
- Using the Hadoop LocalJobRunner
Practice: Programming in MapReduce, Hive, and Pig
Course: 15 Minutes
Unterrichtsdauer | 4 Stunde |
---|---|
Sprache | Englisch |
Online-Zugang | 365 Tage |
Teilnahmeurkunde | Ja |
Preisgekröntes Online-Training | Ja |
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