1 option
Future-Ready Data Foundation with MongoDB : Principles for Designing Scalable and AI-Ready Data Architectures.
- Format:
- Book
- Author/Creator:
- Evans, Sarah.
- Language:
- English
- Subjects (All):
- MongoDB.
- Artificial intelligence--Data processing.
- Artificial intelligence.
- Object-oriented databases.
- Physical Description:
- 1 online resource (98 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Birmingham : Packt Publishing, Limited, 2026.
- Summary:
- Learn how MongoDB helps organizations build scalable, secure, and AI-ready data foundations that power RAG, AI agents, and intelligent applications while simplifying performance, governance, and growth.
- Contents:
- Cover
- FM
- Preface
- Chapter 1: Building a Unified Data Foundation for Sustainable AI Modernization
- Chapter 2: Selecting the Right Retrieval Strategy for AI Workloads
- Chapter 3: How MongoDB's Architecture Supports Modern AI
- Chapter 4: How Replication, Sharding, and Workload Isolation Keep AI Systems Running
- Chapter 5: Eliminating the Hidden Cost of AI Infrastructure with MongoDB
- Chapter 6: Governance and Compliance for AI‑Ready Organizations
- Glossary
- Other Books You May Enjoy.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781807607166
- OCLC:
- 1603129173
- Publisher Number:
- CIPO000417872
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.