book

Data as a Service: A Framework for Providing Reusable Enterprise Data Services

by Pushpak Sarkar

August 2015

Beginner to intermediate

368 pages

10h 47m

English

Wiley

Read now

Unlock full access

The Reader's GuidePART 1: Overview of Fundamental Concepts Includes Chapters 1 to 3PART 2: DaaS Architecture Framework and Components Includes Chapters 4 to 8PART 3: DaaS Solution Blueprints Includes Chapters 9 to 11PART 4: Ensuring Organizational Success Includes Chapters 12 to 14What Is Not Covered in this Book
Topics covered in this chapterData-Driven EnterpriseDefining a ServiceDrivers for Providing Data as a ServiceData as a Service Framework: A Paradigm Shift
Topics Covered in this ChapterEnterprise Data Strategy, Goals, and PrinciplesCritical Success FactorsReference Architecture of the DaaS FrameworkHow to leverage the DaaS Reference ArchitectureSummary
Topics Covered in this ChapterIntroduction to Major Categories of Enterprise DataTransaction Data (Includes Big Data)Significance of EIM in Supporting the DaaS ProgramRole of Enterprise Data ArchitectSummary
Topics Covered in this ChapterEmergence of Enterprise Data ServicesNeed for an Enterprise PerspectiveEmergence of Enterprise Data ServicesPublication of Enterprise Data Interdependencies between DaaS, EIM, and SOACase Study: Amazon's Adoption of Public Data Service InterfacesSummary

Topics Covered in this Chapter A Model-Driven Approach Toward Developing Reusable Data ServicesDefining a Standards-Driven Approach toward Developing New Data ServicesRole of the Enterprise Data ModelDeveloping the Canonical ModelEnterprise Data ModelCanonical ModelImplementing the Canonical ModelPublishing Data Services with the Canonical Model as a FoundationImplementing the Canonical Model in Real-life ProjectsData Services Roll Out and Future ReleasesCase Study: DaaS in Real Life, Electronic-Data Interchange in U.S. Healthcare ExchangesSummary
Topics Covered in this ChapterProblem of Meaning and the Case for a Shared Business GlossaryUsing Metadata in Various DisciplinesRole of an Organization's Business GlossaryEnterprise Metadata RepositoryImplementing the Enterprise Metadata RepositoryMetadata Standards for Enterprise Data Services Metadata GovernanceSummary
Topics Covered in this ChapterSOA as an Enabler of Data IntegrationRole of Enterprise Service Bus What is a Data Service?Foundational Components of a Data Service Service InterfaceMajor Service CategoriesOverview of Data VirtualizationConsolidated Data Infrastructure PlatformSummary
Topics Covered in this Chapter Where to Begin Data Standardization Efforts in Your Organization Role of Data Discovery/Profiling to Identify DaaS Quality IssuesData Quality and the Investment ParadoxQuality of a Data ServiceSetting Up Standards in a DaaS environmentSummary
Topics Covered in this ChapterDelivering Market and Reference Data Using Real-Time Data Services Comparing Usage of Reference Data Against Master DataUnderstanding Challenges of Reference Data ManagementOther Reference Data Management ChallengesRole of Reference Data Standards and Vocabulary ManagementCollaborative Reference Data Management Implementation Using Business Process Management/WorkflowSummary
Topics Covered in this ChapterIntroduction to Master Data ServicesPros and Cons of Master Data Services (Virtual Master Data Management)Leveraging the Golden Source to Resolve Deep-Rooted Source DifferencesFuture Trends in Master Data Management Using DaaSComparing Master Data Services Approach (Virtual) with Master Data Management Approach Involving Physical ConsolidationCase Study: Master Data Services for a Premier Investment BankDetailed Scope and BenefitsProposed Solution Architecture for Master Data Services Enterprise and Canonical Model for Master Data Management ImplementationSummary
Topics Covered in this ChapterBig DataBig Data Analytics Relationship Between DaaS and Big Data AnalyticsFuture Impact of DaaS on Big Data AnalyticsExtending DaaS Reference Architecture for Big Data and Cloud ServicesFostering an Enterprise Data Mindset Case Study: Big DaaS in the Automotive IndustrySummary
Topics Covered in this Chapter Role of Data Governance Data GovernancePeople GovernanceProcess GovernanceService GovernanceTechnology GovernanceSummary
Topics covered in this chapterImpact of Data Breach on DaaS OperationsMajor Security Considerations for DaaSMultilayered Security for the DaaS EnvironmentIdentity and Access ManagementData Entitlements to Safeguard PrivacyImpact of Increased Privacy Regulations on Data ProvidersInformation Risk ManagementImportant Data Security and Privacy Regulations that Impact DaaSChecklist to Protect Data Providers from Data BreachesSummary
Topics Covered in this ChapterService Performance Measurement Using the Balanced ScorecardImplementing the Performance Scorecard to Improve Data Services Embarking on the DaaS Journey with a VisionUsing AGILE Principles for New Data Services DevelopmentSustaining DaaS in an Organization: How to Keep the Program GoingIn Conclusion
Internet Resources and Further Reading

Content preview from Data as a Service: A Framework for Providing Reusable Enterprise Data Services

Part Four Ensuring Organizational Success

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Start your free trial

Managing Data Orchestration and Integration at Scale

Kevin Poskitt, Ginger Gatling

Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake

Saurabh Gupta, Venkata Giri

Data Fabric as Modern Data Architecture

Alice LaPlante

Traefik API Gateway for Microservices: With Java and Python Microservices Deployed in Kubernetes

Rahul Sharma, Akshay Mathur

Publisher Resources

ISBN: 9781119046585Purchase book