Course description
Introduction to Designing Data Lakes on AWS
Designing a data lake is challenging because of the scale and growth of data. Developers need to understand best practices to avoid common mistakes that could be hard to rectify. In this course we will cover the foundations of what a Data Lake is, how to ingest and organize data into the Data Lake, and dive into the data processing that can be done to optimize performance and costs when consuming the data at scale. This course is for professionals (Architects, System Administrators and DevOps) who need to design and build an architecture for secure and scalable Data Lake components. Students will learn about the use cases for a Data Lake and, contrast that with a traditional infrastructure of servers and storage.
Who should attend?
Prerequisites
1-3 years of software development experience
*You will need a credit card to create an AWS account.
Training content
- Hello World, I mean, Hello Data Lakes!
- AWS data related services
- Ingesting the rivers
- Processing and Analyzing data that sits in the Data Lake
Course delivery details
This course is offered through Amazon Web Services, a partner institute of EdX.
1-4 hours per week
Costs
- Verified Track -$169
- Audit Track - Free
Certification / Credits
What you'll learn
- Where to start with a Data Lake?
- How to build a secure and scalable Data Lake?
- What are the common components of a Data Lake?
- Why do you need a Data Lake and what it's value?
About edX
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Contact info
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