14:30 - 20:00 CEST
BIG DATA becomes FAST DATA.
More companies are using distributed streaming platforms that enable not only publish-and-subscribe, but also the storage and process data. Companies across all industries are now relying on real-time data to personalize customer experiences or detect fraudulent behavior.
On 19 November, Confluent, provider of a streaming platform based on Apache Kafka®, and inovex, the data streaming specialist, invite you to Cologne for a three-hour workshop to demonstrate different use cases of streaming technology in large- and midsize- companies. These include examples from Audi, AirBnB, dm and more.
Please RSVP to reserve your seat, we only have limited spaces available!
14:30 – 15:00 Registration and Snacks
15:00 – 18:00 "Data Streaming” Workshop with use cases on Confluent Cloud, IT-modernization in Financial Services and swarm intelligence in Automotive, including a detailed use case from dm, one of Germany’s biggest drugstore
18:00 – 20:00 Get together, dinner, interactive Q&A
Real-time processing of large amounts of data: a streaming platform as the central nervous system in the enterprise
Detailed Use Case: Experiences from building a streaming-ready hybrid data platform for Customer Analytics at dm
At dm as one of Germany’s biggest drugstores, all aspects of the customers’ needs play a crucial role. In order to identify and address these needs in a more precise and timely manner, the department of Customer Experience & Analytics (CXA) at dm is extending its platform by components which allow for large-scale and event-driven analytics approach by combining multiple online and offline touchpoint data sources. A key requirement for the new components is to integrate seamlessly with existing enterprise and cloud infrastructure, like an on-premise data warehouse and a cloud-based marketing solution. In this talk, we highlight the architectural challenges and decisions, and describe our current solution based on Apache Hadoop, Spark, Nifi and the Confluent Platform. Hereby we pay special attention to the steps taken towards productive usage in real-world usecases, especially regarding development, deployment, monitoring and high availability. We close the talk by highlighting current and future customer-facing applications which are enabled by the new platform.