The 5 Key Principles for Modern Data Flow
Data is the lifeblood of the modern enterprise and in a world where customers expect immediacy, real-time data can be the differentiator between business success and failure.
Data pipelines are a critical part of the data architecture and perform much of the heavy lifting, integrating data from multiple sources, transforming and preparing the data for subsequent use in downstream systems. They serve data to databases and other systems for operational use cases, to data warehouses or data lakes for analytical use cases and many BI platforms for business intelligence. Yet, despite their criticality to the data value stream, data pipelines fundamentally haven’t evolved in the last few decades.
Join this session to learn more about the key principles of a modern data streaming architecture, including streaming, a decentralised approach and data governance.