Systems | Development | Analytics | API | Testing

Explore the resilience of Kafka, understand the implications of datacenter disruptions, and mitigate data loss impacts. Learn to scale with Confluent Cloud, cluster and schema linking, and how to use an active/passive disaster recovery pattern for business continuity.

"Over the last few years, DISH Wireless has turned to AWS partners like Confluent to build an entirely new type of telecommunication infrastructure—a cloud-native network built to empower developers. Discover how data streaming allows DISH Wireless to:— Deliver data products that turn network data into business value for customers— Harness massive volumes of data to facilitate the future of app communications— Seamlessly connect apps and devices across hybrid cloud environments.

Streaming platforms need key capabilities for smooth operations: data ingestion, development experience, management, security, performance, and maintenance. Self-managed platforms like Apache Kafka can meet these needs, but can be costly and require intensive maintenance. On the other hand, Confluent Cloud offers fully-managed services with features like scalable performance, auto-balancing, tiered storage, and enhanced security and resiliency. It provides systematic updates and maintenance, freeing users from infrastructure concerns. Confluent Cloud streamlines creation of a global, well-governed data streaming platform.

Learn about the data requirements including data quality, modeling, security, and more, as well as which to prioritize when building real-time data streaming platform and applications.

Join Developer Advocate Gertrude as she demonstrates how to migrate Qlik Sense Applications from Qlik Sense Enterprise Client-Managed to Qlik Cloud using Qlik-Cli.