ON-DEMAND WEBINAR

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.

ACCESS THE WEBINAR

Speaker bio


mahee
Hojjat Jafarpour, Software Engineer at Confluent
Hojjat is a software engineer and the creator of KSQL, the Streaming SQL engine for Apache Kafka, at Confluent. Before joining Confluent he worked at NEC Labs, Informatica, Quantcast and Tidemark on various big data management projects. He has a Ph.D. in computer science from UC Irvine, where he worked on scalable stream processing and publish/subscribe systems.
mahee
Maheedhar Gunturu, Solutions Architect at ScyllaDB
Prior to ScyllaDB, Maheedhar held senior roles both in engineering and sales organizations. He has over a decade of experience designing & developing server-side applications in the cloud and working on big data and ETL frameworks in companies such as Samsung, MapR, Apple, VoltDB, Zscaler and Qualcomm. He holds a masters in Electrical and computer engineering from the University of Texas at San Antonio.

Terms of Use    Privacy Policy   ┬ęScyllaDB

Apache®, Apache Cassandra®, are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.