The Data Platform Handbook: Architecture, Design, and Best Practices, by Jane Estrada
Design, implement, and manage a future-ready Data Platform that transforms data into a strategic asset.
Inmon and Kimball Data Warehouse Design
Data Lake Architecture
Lakehouse Architecture
Medallion Architecture
Data Mesh Methodology
Data Fabric Architecture
Data Platform
One-Stop-Shop for Data
Better Decision Making
Federated Collaboration
Reusable Data
Common View
Improved Data Quality
Metadata Driven Project Delivery
Benefit to Data Producers
Benefits to Consumer Projects
Master Data Management (MDM)
Data Strategy
Vision
Guiding Principles
Federated versus Centralized Responsibility
Metadata Driven Development
Data Domain Driven Architecture
Data Models
Patterns and Standards
Technology Stack Selection
Data Modeling Concepts
Normalization
Data Modeling Techniques
Flat Data Model
Challenges in Data Modeling Practice
Data Modeling Tools
Common Data Model
Standards for Common Data Model
Example of a CDM
Raw Layer
Standardized Layer
Consumer-Specific Layer
Data Retention
Consumer Onboarding
Consumer Metadata Collection
Producer Onboarding
Producer Metadata Collection
Exception Management
Data is valuable only when it is meaningful and accessible. A Data Platform provides a centralized, integrated ecosystem, enabling mid-to-large enterprises to distribute, manage, and leverage data for intelligent, data-driven decision-making. A well-designed Data Platform is essential for executing an enterprise’s data strategy, providing a unified data foundation where consolidated technologies, processes, and governance frameworks enable agility in achieving business objectives.
This book is for Data Stewards, Data Custodians, Data Architects, Solution Architects, Data Engineers, and Data Governance teams seeking to understand the core principles of an effective Data Platform ecosystem. It offers vendor-agnostic insights into evaluating Data Platform providers or developing your own Data Platform.
You will learn:
Jane Estrada is a seasoned Data Management consultant with over 20 years of experience in Data Architecture, Data Governance, Data Modeling, Metadata, and Master Data. She has worked with leading organizations such as CPPIB, RBC, TD Bank, TELUS, and Scotiabank where she has successfully worked with teams to create realistic data sharing services from scratch. With a deep understanding of all facets of data management, Jane helps organizations design and implement effective data strategy, ensuring high-quality, well-governed, and strategically leveraged data assets.
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