Working with streaming data is not a trivial task. To even get started, data engineers need to manage complex solutions and clusters in order to get data from its source to target analytical systems in low latency. Streaming data also needs to meet business and technical requirements such as low latency SLA and exactly-once. This often translates to managing complex infrastructure and high costs.

In this informative session, Snowflake collaborates with AWS product experts to provide valuable insights. Attendees will:

• Learn how to best leverage the power of managed streaming services from AWS and Snowflake
• Learn how to integrate Snowflake with Amazon Kinesis Streams, Amazon Managed Streaming for Kafka (MSK) and Amazon Data Firehose to build low-cost, low-latency data ingestion pipelines
• See a demo on how to set up no-code, serverless, cost-effective solutions for streaming data ingestion with Snowflake and AWS

In Collaboration with: