About this course

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.

At a Glance:
Institution: AWS
Subject: Data Analysis & Statistics
Level: Intermediate
Prerequisites:
1-3 years of software development experience
*You will need a credit card to create an AWS account.
Language: English
Video Transcript: English
Associated programs:
Professional Certificate in Cloud Solutions Architecture
Associated skills:Data Lakes, Amazon Web Services, Data Processing, Data Science, Infrastructure, DevOps, Cloud Computing, Scalability