Data Modeling for Hadoop E-Learning

Order this unique E-Learning course today!
✔️ 1 year of 24/7 access to rich interactive videos with voice support.
✔️ Progress tracking through reports and chapter-based tests to immediately strengthen your knowledge.

Why choose this training?

The vast volume, complexity, and speed of data that organizations process today require advanced techniques and tools. Hadoop is an open-source software framework that helps businesses process and analyze large volumes of fast and diverse data. This course offers an introduction to:

• Hadoop and its key tools: Learn how to use Hadoop to process big data.
• Data modeling: Gain insight into data modeling concepts for Hadoop, from beginner to intermediate level.
• Practical application of Hadoop: Learn how to effectively use Hadoop for business and technical purposes.

The training includes both theory and demonstrations of key concepts, helping you master the fundamentals of data modeling and big data analysis.

Who should take this course?

This course is suitable for:

• Data analysts who want to leverage the power of Hadoop for big data analysis.
• IT professionals looking to specialize in data modeling and Hadoop technology.
• Software developers who want to integrate Hadoop into their applications.
• Business users who want to understand how Hadoop can help their organization process and analyze data.

Demo Data Modeling for Hadoop Training

Course content

Introduction to Hadoop

Course: 25 Minutes

• Course Introduction
• What is Big Data and Its Applications?
• Big Data Platforms
• What is Hadoop?
• Virtual Machine Setup
• Install Linux

UNIX and JAVA Modeling

Course: 5 Minutes

• UNIX Commands

Hadoop Data Internals and Interactions

Course: 17 Minutes

• Hadoop Deployment
• Internals of HDFS
• Read/Write Processes in HDFS
• HDFS Commands

MapReduce and YARN

Course: 17 Minutes

• What is YARN?
• What is MapReduce?
• MapReduce Examples
• Java MapReduce

Ecosystem and Data Type Handlings

Course: 23 Minutes

• Hadoop Ecosystem (Pig, HIVE, HBase)
• Hadoop Ecosystem (Sqoop, Flume, Mahout, Oozie)
• Hadoop Data Type
• Hadoop Distributions
• Features of Hadoop Application

Practice: Practice Filtering in Hadoop

Course: 2 Minutes

• Exercise: Practice Filtering in Hadoop

Big Data Designing and Modeling

Course: 1 Hour, 6 Minutes

• Course Introduction
• What is Data Management?
• Introduction to Data Modeling in Hadoop
• Hadoop Data Storage Options
• HDFS Schema Design
• HBase Schema Design
• Introduction to Data Movement in Hadoop
• Data Ingestion Considerations in Hadoop
• Data Ingestion Options in Hadoop
• What is a Data Stream?
• What is a Data Lake?
• Introduction to Data Security Management
• What is Kerberos?
• Hadoop and Kerberos
• Data Warehousing with Hadoop

Practice: Key Features of Data Modeling

Course: 1 Minute

• Exercise: Data Modeling in Hadoop