Event streaming applications unlock new benefits by combining various data feeds. However, getting actionable insights in a timely fashion has remained a challenge, as the data has been siloed in disparate systems. ksqlDB solves this by providing an interactive SQL interface that can seamlessly combine and transform data from various sources.
In this webinar, we will show how streaming queries of high throughput NoSQL systems can derive insights from various push/pull queries via ksqlDB's User-Defined Functions, Aggregate Functions and Table Functions.
Watch this to learn:
- Real-world examples of the benefits of using a streaming database like ksqlDB and seamlessly combining data from Kafka and Cassandra/Scylla (NoSQL).
- The functionality of ksqlDB via push/pull queries and UDFs/UDAFs/UDTFs.
- The ease with which data stored in a NoSQL database can be transformed using ksqlDB and then persisted back for long-term storage.