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Data Science Apache Hadoop and MapReduce Essentials E-learning
Apache Hadoop and MapReduce Essentials E-learning
€159,00

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Apache Hadoop and MapReduce Essentials E-learning

Brand: Data Science
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€159,00 Excl. tax
€192,39 Incl. tax
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Information

Apache Hadoop and MapReduce Essentials E-learning

Order this unique Elearning Apache Hadoop and MapReduce Essentials course online, 1 year 24/7 access to rich interactive videos, voice, progress monitoring through reports and tests per chapter to directly test the knowledge.

Content

Apache Hadoop

Fundamentals of Hadoop

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
27 Minutes

Hadoop Installation Considerations
Testing your Hadoop Installation
Your First Hadoop Cluster
Hadoop Distributions
Hadoop Ecosystem
The Role of YARN

File Storage/Tools
28 Minutes

Overview of Hadoop, Storage, MapReduce, Pig, and Hive
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
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
15 Minutes

MapReduce Essentials
15 Minutes

Course Introduction
Creating Job Components
Understanding MapReduce with a Conceptual Example
Hadoop MapReduce and Java
Executing Hadoop MapReduce Jobs
 
Programming Consideration and Techniques
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
29 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
15 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
 
15 Minutes
Exercise: Programming in MapReduce, Hive, and Pig
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Specifications
General properties
Availabilty: 29 hours
Language: English
Certificate of participation: Yes
Online access: 90 days
Progress monitoring: Yes
Award Winning E-learning: Yes
Suitable for mobile: Yes
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