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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 hear data streaming success stories from Conrad Electronics, Generali and Skechers that leverage Qlik Data Integration and Confluent. 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.

Register today and learn from three customer use cases how to:

  • Turn databases into live data feeds
  • Simplify and automate the real-time data streaming process
  • Accelerate data delivery to enable real-time analytics
  • Leverage Qlik and Confluent for the best performance
  • Don’t miss this opportunity to learn how to breathe new life into data in the cloud, stay ahead of changing demands, while lowering over-reliance on resources, production time and costs.

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

Vendor:
Qlik
Premiered:
Jun 10, 2021, 12:00 EDT (16:00 GMT)
Format:
Video
Type:
Webcast

This resource is no longer available.

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