Building a Real-time Streaming ETL Framework Using ksqlDB and NoSQL

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Presented by

Hojjat Jafarpour, Software Engineer at Confluent, Maheedhar Gunturu, Solutions Architect at ScyllaDB

About this talk

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 & 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.

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The Scylla NoSQL database embraces a shared-nothing approach that increases throughput and storage capacity as much as 10X. It comes in open source, enterprise and database-as-a-service options. Comcast, Discord, Grab, Medium, Starbucks, Ola Cabs, Samsung, IBM, Investing.com, Zillow and many more leading companies have adopted Scylla to realize order-of-magnitude performance improvements and reduce hardware costs. For more information: ScyllaDB.com.