Create a Data Pipeline, Lake, and Warehouse using AWS (LIVE STREAM AVAILABLE)

LIVE STREAM: https://youtu.be/Nm_GWcHgsno

Join us online to learn about some AWS services that are commonly used to solve data processing and storage challenges.

During part 1 of this 2 part series, we will dive into Kinesis Data Streams, Firehose Delivery Streams, Kinesis Stream Analytics Applications, and creation of a data lake using S3 and Athena.

Slides: https://speakerdeck.com/kevasync/aws-data-pipelines-part-1
Repo: https://github.com/kevasync/aws-meetup-group-data-services

Part 2 of this series (May 27th) will look at expanding the pipeline to create a Redshift data warehouse, integrating Redshift with S3 using Redshift Spectrum, and creating a shared application data layer with Elasticserach.