edX
edXIntroduction to Designing Data Lakes on AWS
103 studentsINTERMEDIATEEnglish
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Data Lake Architecture: Right Foundations Matter
A data lake at scale is a different beast than a data warehouse. This course covers the foundations and common pitfalls, then dives into ingestion strategies, data organization, processing optimization, and cost management. For architects and DevOps engineers, it's the difference between a system that scales smoothly and one that becomes a swamp.
Includes the contrast with traditional infrastructure, so you understand when a data lake is the right choice.
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.
Price
$209
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