| Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh Join us for this latest DSC Webinar on June 10th, 2021 |
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Converting production databases into live data streams for Apache Kafka can be labor intensive and costly. As Kafka architectures grow, complexity also rises as data teams begin to configure clusters for redundancy, partitions for performance, as well as for consumer groups for correlated analytics processing.
In this latest Data Science Central webinar, you’ll discover how Qlik’s data integration platform lets organizations automatically produce real-time transaction streams into Kafka, Confluent Platform, or Confluent Cloud, deliver faster business insights from data, enable streaming analytics, as well as streaming ingestion for modern analytics.
Speakers:
Adam Mayer, Senior Technical Product Marketing Manager - Qlik Rankesh Kumar, Partner Solutions Engineer - Confluent
Hosted by:
Sean Welch, Host and Producer - Data Science Central |
Title: | Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh | Date: | Thursday, June 10th, 2021 | Time: | 9:00 AM - 10:00 AM PST |
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