Mobile applications, IoT and POS systems, as well as social media, demand real-time response. Connecting, moving and integrating streaming data, from all of your interfaces, so it’s available to make decisions with all of your internal systems in real-time comes with a lot of challenges.
Join Adobe, Confluent, and SnapLogic to hear how leading companies such as Adobe and others apply best practices for building streaming data pipelines using Apache Kafka™, the de facto standard for modern streaming platforms. We’ll explore:
How Kafka serves as a foundation for both streaming data pipelines and applications that consume and process real-time data streams.
Take a deep dive into how SnapLogic and Confluent are partnering to make it easier to capture continuous data streams with Kafka.
Learn how streaming data is enabling companies to perform real-time inventory updates to keep shoppers buying, search in real-time for fraudulent transactions or monitor machine behavior that suggests a security breach and more.
Featured Speakers
Dinesh Gopinathan
Business Leader of Integration Services at Adobe Systems, Inc.
Clarke Patterson
Sr. Director of Product Marketing at Confluent, Inc.
Pavan Venkatesh
Sr. Product Manager at SnapLogic, Inc.