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Data management at scale : best practices for enterprise architecture /
As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learn...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Sebastopol, CA :
O'Reilly Media,
[2020]
|
| Edición: | First edition. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Strengholt, Piethein, |e author. | |
| 245 | 1 | 0 | |a Data management at scale : |b best practices for enterprise architecture / |c Piethein Strengholt. |
| 250 | |a First edition. | ||
| 264 | 1 | |a Sebastopol, CA : |b O'Reilly Media, |c [2020] | |
| 264 | 4 | |c Ã2020 | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 588 | 0 | |a Online resource; title from title page (Safari, viewed August 3, 2020). | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Intro -- Copyright -- Table of Contents -- Foreword -- Preface -- Navigating Through This Book -- Conventions Used in This Book -- O'Reilly Online Learning -- How to Contact Us -- Acknowledgments -- Chapter 1. The Disruption of Data Management -- Data Management -- Analytics Is Fragmenting the Data Landscape -- Speed of Software Delivery Is Changing -- Networks Are Getting Faster -- Privacy and Security Concerns Are a Top Priority -- Operational and Transactional Systems Need to Be Integrated -- Data Monetization Requires an Ecosystem-to-Ecosystem Architecture | |
| 505 | 8 | |a Enterprises Are Saddled with Outdated Data Architectures -- Enterprise Data Warehouse and Business Intelligence -- Data Lake -- Centralized View -- Summary -- Scaled Architecture -- Chapter 2. Introducing the Scaled Architecture: Organizing Data at Scale -- Universally Acknowledged Starting Points -- Each Application Has an Application Database -- Applications Are Specific and Have Unique Context -- Golden Source -- There's No Escape from the Data Integration Dilemma -- Applications Play the Roles of Data Providers and Data Consumers -- Key Theoretical Considerations | |
| 505 | 8 | |a Object-Oriented Programming Principles -- Domain-Driven Design -- Business Architecture -- Communication and Integration Patterns -- Point-to-Point -- Silos -- Hub-Spoke Model -- Scaled Architecture -- Golden Sources and Domain Data Stores -- Data Delivery Contracts and Data Sharing Agreements -- Eliminating the Siloed Approach -- Domain-Driven Design on an Enterprise Scale -- Read-Optimized Data -- Data Layer as a Holistic Picture -- Metadata and the Target Operating Model -- Summary -- Chapter 3. Managing Vast Amounts of Data: The Read-Only Data Stores Architecture | |
| 505 | 8 | |a Introducing the RDS Architecture -- Command and Query Responsibility Segregation -- What Is CQRS? -- CQRS at Scale -- Read-Only Data Store Components and Services -- Metadata -- Data Quality -- RDS Tiers -- Data Ingestion -- Integrating Commercial Off-the-Shelf Solutions -- Extracting Data from External APIs and SaaSs -- Historical Data Service -- Design Variations -- Data Replication -- Access Layer -- File Manipulation Service -- Delivery Notification Service -- De-Identification Service -- Distributed Orchestration -- Intelligent Consumption Services -- Populating RDSs on Demand | |
| 505 | 8 | |a RDS Direct Usage Considerations -- Summary -- Chapter 4. Services and API Management: The API Architecture -- Introducing the API Architecture -- What Is Service-Oriented Architecture? -- Enterprise Application Integration -- Service Orchestration -- Service Choreography -- Public Services and Private Services -- Service Models and Canonical Data Models -- Similarities Between SOA and Enterprise Data Warehousing Architecture -- Modern View on SOA -- API Gateway -- Responsibility Model -- The New Role of the ESB -- Service Contracts -- Service Discovery -- Microservices | |
| 520 | |a As data management and integration continue to evolve rapidly, storing all your data in one place, such as a data warehouse, is no longer scalable. In the very near future, data will need to be distributed and available for several technological solutions. With this practical book, you'll learnhow to migrate your enterprise from a complex and tightly coupled data landscape to a more flexible architecture ready for the modern world of data consumption. Executives, data architects, analytics teams, and compliance and governance staff will learn how to build a modern scalable data landscape using the Scaled Architecture, which you can introduce incrementally without a large upfront investment. Author Piethein Strengholt provides blueprints, principles, observations, best practices, and patterns to get you up to speed. Examine data management trends, including technological developments, regulatory requirements, and privacy concerns Go deep into the Scaled Architecture and learn how the pieces fit together Explore data governance and data security, master data management, self-service data marketplaces, and the importance of metadata. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Electronic data processing |x Management. | |
| 650 | 0 | |a Information technology |x Management. | |
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| 650 | 7 | |a Electronic data processing |x Management |2 fast |0 (OCoLC)fst00907027 | |
| 650 | 7 | |a Information technology |x Management |2 fast |0 (OCoLC)fst00973112 | |
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