Data as a Service

Guest Introduction - Sanjoy Paul xiii
 
Guest Introduction - Christopher Surdak xv
 
Preface (Includes the Reader's Guide) xvii
 
Acknowledgments xxvii
 
Part One Overview of Fundamental Concepts
 
1. Introduction to DaaS 3
 
Topics Covered in this Chapter 3
 
Data-Driven Enterprise 4
 
Defining a Service 6
 
Drivers for Providing Data as a Service 7
 
Data as a Service Framework: A Paradigm Shift 12
 
2. DaaS Strategy and Reference Architecture 25
 
Topics Covered in this Chapter 25
 
Enterprise Data Strategy, Goals, and Principles 26
 
Critical Success Factors 28
 
Reference Architecture of the DaaS Framework 30
 
How to leverage the DaaS Reference Architecture 41
 
Summary 41
 
3. Data Asset Management 43
 
Topics Covered in this Chapter 43
 
Introduction to Major Categories of Enterprise Data 46
 
Transaction Data (Includes Big Data) 54
 
Significance of EIM in Supporting the DaaS Program 56
 
Role of Enterprise Data Architect 57
 
Summary 59
 
Part Two DaaS Architecture Framework and Components
 
4. Enterprise Data Services 63
 
Topics Covered in this Chapter 63
 
Emergence of Enterprise Data Services 64
 
Need for an Enterprise Perspective 65
 
Emergence of Enterprise Data Services 66
 
Publication of Enterprise Data 69
 
Interdependencies between DaaS, EIM, and SOA 73
 
Case Study: Amazon's Adoption of Public Data Service Interfaces 76
 
Summary 79
 
5. Enterprise and Canonical Modeling 80
 
Topics Covered in this Chapter 80
 
A Model-Driven Approach Toward Developing Reusable Data Services 81
 
Defining a Standards-Driven Approach toward Developing New Data Services 82
 
Role of the Enterprise Data Model 83
 
Developing the Canonical Model 84
 
Enterprise Data Model

Pushpak Sarkar is an Executive IT Architect at New York Life Insurance, USA. The author received a bachelor's degree from Indian Institute of Technology, his master's from the University of Pennsylvania, and an MBA from FMS, University of Delhi, India. He has been running Data Management & Analysis Service Centers of Excellence (COE) at several globally renowned organizations. His professional interest lies in data management, business intelligence, and big data analytics.