August 2022
Intermediate to advanced
434 pages
10h 34m
English
book
Serverless ETL and Analytics with AWS Glue
by Vishal Pathak, Subramanya Vajiraya, Noritaka Sekiyama, Tomohiro Tanaka, Albert Quiroga, Ishan Gaur
Content preview from Serverless ETL and Analytics with AWS Glue
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Chapter 15: Architecting Data Lakes for Real-World Scenarios and Edge Cases
We are now well versed in the concept of a data lake, a centralized repository that allows you to store all your structured and unstructured data at any scale. Since a data lake primarily focuses on storage, it does not require as much processing power as other methods (such as the data warehouse), making it easier, faster, and more cost-effective to scale up as data volumes grow.
The data lake is not just a repository – it requires a well-designed data architecture, along with proper planning and management. As it is driven by a data-based design, it helps you rapidly ingest raw data before any business requirements come into the picture. There are a variety of tools ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.