Apache Hadoop and MapReduce Essentials Training
Apache Hadoop and MapReduce Essentials Training
Apache Hadoop and MapReduce Essentials Training Award-winning E-Learning course Extensive interactive videos with spoken text Certified teachers Practical exercises Certificate.
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Apache Hadoop and MapReduce Essentials E-Learning
Order this unique E-Learning 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.
Course content
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
- Exercise: Programming in MapReduce, Hive, and Pig
| Language | English |
|---|---|
| Qualifications of the Instructor | Certified |
| Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
| Lesson duration | 4 Hours |
| Progress monitoring | Yes |
| Access to Material | 365 days |
| Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
| Support or Assistance | Helpdesk and online knowledge base 24/7 |
| Certification | Certificate of participation in PDF format |
| Price and costs | Course price at no extra cost |
| Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
| Award Winning E-learning | Yes |
| Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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