Getting Started with Modern Analytics and Governance at Scale

This guide outlines the cloud-scale analytics scenario, addressing both technical and non-technical aspects of analytics and governance in the cloud. It aims to support hybrid and multi-cloud adoption while focusing on Azure products for technical implementation examples. The document defines several goals for cloud-scale analytics, including treating data as a product, creating an ecosystem of data products, enforcing data governance and security, and prioritizing business outcomes. It describes the phases of implementation, starting from assessment and design to deploying foundational services and onboarding data products. The guide emphasizes the importance of data governance, ingestion, discovery, and management, detailing a metadata-driven data management framework that automates data ingestion and curation. Additionally, it presents a rapid deployment framework that utilizes Azure resource templates and deployment pipelines to enhance operational efficiency and compliance with security standards.