The data landscape is in a constant state of flux, demanding ever-more agile and scalable data processing solutions. While the Lambda architecture has served well, the Kappa architecture emerges as a powerful evolution. This session, designed for senior data leaders, explores the fundamentals and nuances of the Kappa architecture and its potential to revolutionize data pipelines.
We’ll embark on a journey beyond the Lambda architecture, unpacking the core principles of Kappa. You’ll gain insights into how Kappa streamlines data processing by unifying batch and real-time processing into a single, continuous flow. This approach eliminates the complexity of managing separate Lambda layers, fostering a more agile and maintainable data pipeline.
The session dives deep into the technical aspects of Kappa, including:
Real-time Stream Processing: Leveraging powerful stream processing engines for low-latency data ingestion and transformation.
Stateful Stream Processing: Enabling complex event processing and state management within the streaming pipeline itself.
Simplified Data Pipelines: Reducing code duplication and operational overhead through a unified processing approach.
Tailored Delivery Options: Providing flexibility to deliver data in real-time, near real-time, or in batches based on specific use cases.
This session is ideal for data Leaders, data architects and data engineers seeking to push the boundaries of data processing agility. We’ll explore real-world applications and best practices, empowering you to architect data pipelines that are not only scalable but also adaptable to the ever-changing needs of your organization.