In many organizations today, businesspeople are busy requesting unified views of data stored across multiple sources within their organizations. But integrating multiple data types from multiple data stores is a complex, error-prone, and time-consuming process of cobbling everything together manually. This concise book examines how multi-model databases can help you integrate data storage and access across your organization in a seamless and elegant way.
Author Pete Aven and Diane Burley from MarkLogic explain how this latest evolution in data management naturally accepts heterogeneous data, enabling you to eventually phase out technical data silos. Through several case studies, you’ll discover how organizations use multi-model databases to reduce complexity, save money, take advantage of opportunities, lessen risk, and shorten time to value.
- Get unified views across disparate data models and formats within a single database
- Learn how multi-model databases leverage the inherent structure of the data being stored
- Load and use unstructured and semi-structured data (such as documents and text) as is
- Provide agility in data access and delivery through APIs, interfaces, and indexes
- Learn how to scale a multi-model database, and provide ACID capabilities and security
- Examine how a multi-model database would fit into your existing architecture
Table of Contents
- About This Book
- 1. The Current Landscape
- 2. The Rise of NoSQL
- 3. A Multi-Model Database for Data Integration
- 4. Documents and Text
- 5. Agility in Models Requires Agility in Access
- 6. Scalability and Enterprise Considerations
- 7. Multi-Model Database Integration Patterns
- 8. Summary
- Title: Building on Multi-Model Databases
- Release date: July 2017
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491977903