GPSTEC343: Build and automate a modern serverless data lake on AWS - a podcast by AWS

Although this Global Partner Summit session is open to anyone, it is geared toward current and potential AWS Partner Network Partners. There is a growing concern over the complexity of data analysis as data volume, velocity, and variety increases. The concern stems from the number and complexity of steps it takes to get data to a usable state. Often data engineering teams spend most of their time building and optimizing extract, transform, and load (ETL) pipelines. In this session, we walk you through how to create a fully automated data cataloging and ETL pipeline to transform data, which can greatly reduce your customers' time to value and cost of operations.

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