Reliable Data Flows and Scalable Platforms: Tackling Key Data Challenges

There are a few common and mostly well-known challenges when architecting for data. For example, many data teams struggle to move data in a stable and reliable way from operational systems to analytics systems. At the same time, they must manage complex and often costly infrastructure landscapes. These issues hinder companies from effectively leveraging their data for business purposes.

Drawing from real-world experience, this presentation will explore how we address these challenges by building reliable and scalable data platforms with reasonable costs. It will also cover solutions to help operational teams provide their data and to observe the flow towards analytics systems. In addition to discussing architectures and design considerations the presentation will also highlight tools and techniques used to implement these platforms.