Hortonworks HDP Overview Apache Hadoop Essentials

About This Course

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 courses.

Audience Profile

Primary audience for this course are:

• 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

Before attending this course, students should have the following knowledge or experience:

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

At Course Completion

Upon course completion, students will be able to:

• Describe the use case for Hadoop
• Identify Hadoop Ecosystem architectural categories
• Data Management
• Data Access
• Data Governance and Integration
• Security
• Operations
• Detail the HDFS architecture
• Describe data ingestion options and frameworks for batch and real-time streaming
• Explain the fundamentals of parallel processing
• See popular data transformation and processing engines in actionApache Hive
• Apache Pig
• Apache Spark
• Detail the architecture and features of YARN
• Describe how to secure Hadoop