HDP Overview: Apache Hadoop Essentials - Self Paced Training

HDP Overview: Apache Hadoop Essentials - Self Paced Training

This self-paced course provides a technical overview of Apache Hadoop. It includes high-level information about concepts, architecture, operation, and uses of the Hortonworks Data Platform (HDP) and the Hadoop ecosystem.

About this course

Overview:
This self-paced course provides a technical overview of Apache Hadoop. It includes high-level information about concepts, architecture, operation, and uses of the Hortonworks Data Platform (HDP) and the Hadoop ecosystem. The course provides an optional primer for those who plan to attend a hands-on, instructor-led course.

Please note that this is the free self-paced version of the Apache Hadoop Essentials Course. If you wish to attend an Apache Hadoop Essentials Live Training Event, please click HERE to register.


Target Audience:

Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators or developers who want to understand the fundamentals of Big Data and the Hadoop ecosystem. 

Prerequisites:
No previous Hadoop or programming knowledge is required. Students will need browser access to the Internet. 

Format:
Self-Paced Slide Based Lessons and Demo Instructions (This course does not contain audio or video).

 

Curriculum

  • Lesson 1:
  • The Case for Hadoop
  • Lesson Review
  • Lesson 2:
  • The Hadoop Ecosystem
  • Lesson Review
  • Demo Instructions: Operational Overview with Ambari
  • Lesson 3:
  • HDFS Architecture
  • Lesson Review
  • Demo Instructions: Loading Data into HDFS
  • Lesson 4:
  • Ingesting Data
  • Lesson Review
  • Demo Instructions: Streaming Data into HDFS
  • Lesson 5:
  • Parallel Processing
  • Lesson Review
  • Demo Instructions: Processing with MapReduce
  • Lesson 6:
  • Apache Hive Overview
  • Lesson Review
  • Demo Instructions: Data Manipulation with Hive
  • Lesson 7:
  • Apache Pig Overview
  • Lesson Review
  • Demo Instructions: Risk Analysis with Pig
  • Lesson 8:
  • Apache Spark Overview
  • Lesson Review
  • Demo Instructions: Risk Analysis with Spark
  • Lesson 9:
  • YARN Architecture
  • Lesson Review
  • Lesson 10:
  • Hadoop Security
  • Lesson Review
  • Demo Instructions: Securing Ranger with Hive
  • Wrapping Up
  • Course Survey

About this course

Overview:
This self-paced course provides a technical overview of Apache Hadoop. It includes high-level information about concepts, architecture, operation, and uses of the Hortonworks Data Platform (HDP) and the Hadoop ecosystem. The course provides an optional primer for those who plan to attend a hands-on, instructor-led course.

Please note that this is the free self-paced version of the Apache Hadoop Essentials Course. If you wish to attend an Apache Hadoop Essentials Live Training Event, please click HERE to register.


Target Audience:

Data architects, data integration architects, managers, C-level executives, decision makers, technical infrastructure team, and Hadoop administrators or developers who want to understand the fundamentals of Big Data and the Hadoop ecosystem. 

Prerequisites:
No previous Hadoop or programming knowledge is required. Students will need browser access to the Internet. 

Format:
Self-Paced Slide Based Lessons and Demo Instructions (This course does not contain audio or video).

 

Curriculum

  • Lesson 1:
  • The Case for Hadoop
  • Lesson Review
  • Lesson 2:
  • The Hadoop Ecosystem
  • Lesson Review
  • Demo Instructions: Operational Overview with Ambari
  • Lesson 3:
  • HDFS Architecture
  • Lesson Review
  • Demo Instructions: Loading Data into HDFS
  • Lesson 4:
  • Ingesting Data
  • Lesson Review
  • Demo Instructions: Streaming Data into HDFS
  • Lesson 5:
  • Parallel Processing
  • Lesson Review
  • Demo Instructions: Processing with MapReduce
  • Lesson 6:
  • Apache Hive Overview
  • Lesson Review
  • Demo Instructions: Data Manipulation with Hive
  • Lesson 7:
  • Apache Pig Overview
  • Lesson Review
  • Demo Instructions: Risk Analysis with Pig
  • Lesson 8:
  • Apache Spark Overview
  • Lesson Review
  • Demo Instructions: Risk Analysis with Spark
  • Lesson 9:
  • YARN Architecture
  • Lesson Review
  • Lesson 10:
  • Hadoop Security
  • Lesson Review
  • Demo Instructions: Securing Ranger with Hive
  • Wrapping Up
  • Course Survey