HDP-123 | HDP Overview: Apache Hadoop Essentials

HDP-123 | HDP Overview: Apache Hadoop Essentials

IMPORTANT: We are no longer accepting registrations at this location. Please visit https://www.cloudera.com/about/training.html to see our current offerings and complete your registration. See below for more details.

About this course

IMPORTANT: Registrations will no longer be processed through the Hortonworks University site. Please visit HERE to see our current offerings and complete your registration.

NOTE: If you have previously attended Hortonworks training, purchased Self Paced Learning or Certifications, instructions for accessing your Hortonworks University account can be found HERE.

 

Overview:
This 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.

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:
Live Instructor Lecture and Demos

Curriculum

  • Course Logistics
  • IMPORTANT - Please complete your registration by selecting a Live Training Event Date
  • HDP Overview: Apache Hadoop Essentials Live Training Schedule
  • Lesson 1:
  • The Case for Hadoop
  • Lesson 2:
  • The Hadoop Ecosystem
  • Demo Instructions: Operational Overview with Ambari
  • Lesson 3:
  • HDFS Architecture
  • Demo Instructions: Loading Data into HDFS
  • Lesson 4:
  • Ingesting Data
  • Demo Instructions: Streaming Data into HDFS
  • Lesson 5:
  • Parallel Processing
  • Demo Instructions: Processing with MapReduce
  • Lesson 6:
  • Apache Hive Overview
  • Demo Instructions: Data Manipulation with Hive
  • Lesson 7:
  • Apache Pig Overview
  • Demo Instructions: Risk Analysis with Pig
  • Lesson 8:
  • Apache Spark Overview
  • Demo Instructions: Risk Analysis with Spark
  • Lesson 9:
  • YARN Architecture
  • Lesson 10:
  • Hadoop Security
  • Demo Instructions: Securing Ranger with Hive
  • Wrapping Up
  • Course & Instructor Survey

About this course

IMPORTANT: Registrations will no longer be processed through the Hortonworks University site. Please visit HERE to see our current offerings and complete your registration.

NOTE: If you have previously attended Hortonworks training, purchased Self Paced Learning or Certifications, instructions for accessing your Hortonworks University account can be found HERE.

 

Overview:
This 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.

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:
Live Instructor Lecture and Demos

Curriculum

  • Course Logistics
  • IMPORTANT - Please complete your registration by selecting a Live Training Event Date
  • HDP Overview: Apache Hadoop Essentials Live Training Schedule
  • Lesson 1:
  • The Case for Hadoop
  • Lesson 2:
  • The Hadoop Ecosystem
  • Demo Instructions: Operational Overview with Ambari
  • Lesson 3:
  • HDFS Architecture
  • Demo Instructions: Loading Data into HDFS
  • Lesson 4:
  • Ingesting Data
  • Demo Instructions: Streaming Data into HDFS
  • Lesson 5:
  • Parallel Processing
  • Demo Instructions: Processing with MapReduce
  • Lesson 6:
  • Apache Hive Overview
  • Demo Instructions: Data Manipulation with Hive
  • Lesson 7:
  • Apache Pig Overview
  • Demo Instructions: Risk Analysis with Pig
  • Lesson 8:
  • Apache Spark Overview
  • Demo Instructions: Risk Analysis with Spark
  • Lesson 9:
  • YARN Architecture
  • Lesson 10:
  • Hadoop Security
  • Demo Instructions: Securing Ranger with Hive
  • Wrapping Up
  • Course & Instructor Survey