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Posts about ksqlDB

Processing Streams of Stock Quotes with Kafka and Confluent ksqlDB

In this article I present an example of how one can use Kafka and the Confluent ksqlDB stream processing database to process a simplified dataset of fake stock quotes. The ultimate goal of this excercise will be to user ksqlDB to inspect a stream of stock quotes for individual companies in 1 minute windows and identify when a window has introduced a new daily high or low stock price.

Serverless Event Driven Systems with Confluent Cloud and AWS Lambda

Here I present an end-to-end example of a Serverless event driven architecture using Confluent Cloud for stream processing paired with AWS Lambda for event responsive logic using the Serverless Application Model (SAM) framework. Together this architecture will compose a system for fictitious financial stock quote email alerting.