WEBINAR: Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh 10 June 2021

 

Data Science Central Webinar Series Event

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 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   Space is limited so please register early: Reserve your seat now

WEBINAR: Data Streaming Success Stories with Kafka - How Qlik and Confluent Keep Your Data Fresh - 10 June 2021

 

Data Science Central Webinar Series Event 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 Converting production databases into live data streams for Apache Kafka can be labour-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   Space is limited so please register early: Reserve your seat now

How to Realize Real-Time Analytics and IoT Monetisation with Kafka via @Datafloq @ranadipa

How to Realize Real-Time Analytics and IoT Monetization with Kafka by Raj Nadipalli via +Datafloq  - Creating the architecture to support real-time data analytics or monetisation of Internet of Things data is not easy. What is needed is a fast, reliable platform that can support IoT feeds and enable functionality like real-time financial metrics or geolocation of inventory/goods or credit card fraud detection. Fortunately there is Apache Kafka, but what is it?

Good summary of Kafka if you don't understand what it does.