Streaming ETL for Data Lakes using Amazon Kinesis Firehose


Streaming ETL for Data Lakes using Amazon Kinesis Firehose


Data lakes enable your employees across the organization to access and analyze massive amounts of unstructured and structured data from disparate data sources, many of which generate data continuously and rapidly. Making this data available in a timely fashion for analysis requires a streaming solution that can durably and cost-effectively ingest this data into your data lake. Amazon Kinesis Firehose is a fully managed service that makes it easy to prepare and load streaming data into AWS. In this tech talk, we will provide an overview of Amazon Kinesis Firehose and dive deep into how you can use the service to collect, transform, batch, compress, and load real-time streaming data into your Amazon S3 data lakes.

When: May 23 | 10:30 AM - 11:30 AM PT | 01:30 PM - 02:30 PM ET

Learning Objectives:
• Understand key requirements for collecting, preparing, and loading streaming data into data lakes
• Get an overview of transmitting data using Amazon Kinesis Firehose
• Learn how to perform data transformations with Amazon Kinesis Firehose

Who Should Attend: Big Data Developers, Data Engineers, Data Analysts, Data Engineers, Technical Decision Makers

Speakers: Ryan Nienhuis, Sr. Product Manager, AWS

Register for the Webinar