Technology, Data and Science

Data Engineering with AWS Part 1


  • Create and configure an Amazon S3 bucket to securely store data and trigger notifications to perform actions.

Get an introduction to the field of data engineering and why it’s so important in today’s business world. Explore data types, data lakes, data sources, and how to use built-in AWS components such as DynamoDB, Kinesis, and S3 to store and manage your streams. Find out how to leverage the full power of an end-to-end data engineering pipeline, from selecting and configuring ingestion patterns, to storing data for analytic processing with S3. Test your new skills along the way in the hands-on data challenges.

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