AWS Data Pipeline Core Concepts
Difficulty: Beginner
Duration: 10 minutes and 57 seconds
Students: 198
Rating: 5/5
This lesson is designed to show you how to use the AWS Data Pipeline service for data collection requirements.
Learning Objectives
- Recognize and explain the operational characteristics of a data collection system.
- Recognize and explain how a collection system can be designed to handle the frequency of data change and the type of data being ingested.
- Recognize and identify properties that may need to be enforced by a collection system.
- Recognize and explain AWS Data Pipeline core concepts.
Intended Audience
This lesson is intended for students looking to increase their knowledge of data collection methods and techniques with big data solutions.
What You'll Learn
- Introduction to Data Pipeline: In this lesson, we'll discuss the basics of Data Pipeline.
- AWS Data Pipeline Architecture: In this lesson, we'll go into more detail about the architecture that underpins the AWS Data Pipeline Big Data Service.
- AWS Data Pipeline Core Concepts: In this lesson, we'll discuss how we define data nodes, access, activities, schedules, and resources.
- AWS Data Pipeline Reference Architecture: In this lesson, we'll look at a real-life scenario of how data pipeline can be used.
Covered Topics