In today's data-driven world, organizations face the challenge of harnessing vast amounts of data to gain insights and make informed decisions. Azure offers a robust suite of tools and services to build a modern data platform that can address these challenges effectively.
This talk will delve into practical strategies and the architectural principles for governing and managing data in a decentralized data environment. The goal is to balance decentralization, data quality, and self-service while imposing necessary constraints.
Throughout this session, we will tackle essential questions and considerations. We will explore how to enhance the quality of shared data by implementing constraints that remain adaptable to the needs of various data teams. Additionally, we will delve into effective approaches for handling data ownership, access controls, and security across diverse data domains. Recommendations for managing metadata will also be addressed, alongside strategies to tailor the level of flexibility and ownership for data teams based on their experience and readiness.
To illustrate these concepts, we will draw upon a real-world data platform example at Enza Zaden ( https://www.enzazaden.com/). Through this case study, we will highlight successful strategies and best practices for navigating the inherent complexity of a decentralized data platform architecture. This presentation aims to equip you with practical insights and actionable steps, enabling you to create a robust data platform.