Brief Introduction
In this class, we will help you understand how to create and operate a data lake in a secure and scalable way, without previous knowledge of data science!
Description
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.
Knowledge
- 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?
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