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Aggregations in KSQL | Level Up your KSQL by Confluent

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Try KSQL: https://confluent.io/ksql | This video describes how to aggregate data with KSQL, different types of aggregate functions like COUNT, SUM, MAX, MIN, TOPK, etc, and windowing and late-arriving data. KSQL is an open source, Apache 2.0 licensed streaming SQL engine that implements continuous, interactive queries against Apache Kafka®. KSQL makes it easy to read, write, and process streaming data in real-time, at scale, using SQL-like semantics. This offers an easy way to express stream processing transformations as an alternative to writing an application in Java or Python. KSQL provides capabilities such as streaming joins, aggregations, event-time windowing, and more! CONNECT Subscribe: http://youtube.com/c/confluent?sub_confirmation=1 Site: http://confluent.io GitHub: https://github.com/confluentinc Facebook: https://facebook.com/confluentinc Twitter: https://twitter.com/confluentinc Linkedin: https://www.linkedin.com/company/confluent Instagram: https://www.instagram.com/confluent_inc ABOUT CONFLUENT Confluent, founded by the creators of Apache Kafka®, enables organizations to harness business value of live data. The Confluent Platform manages the barrage of stream data and makes it available throughout an organization. It provides various industries, from retail, logistics and manufacturing, to financial services and online social networking, a scalable, unified, real-time data pipeline that enables applications ranging from large volume data integration to big data analysis with Hadoop to real-time stream processing. To learn more, please visit http://confluent.io
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