The Most Authoritative Guide to Building Data Hubs
What is a data hub? How does it simplify data integration and help get data ready for operational, transactional, analytical and AI workloads?
In this comprehensive guide for enterprise architects, we take a deep dive into the past, present and future of data integration. We look at how traditional approaches to data integration have built up technical debt and why a data hub architecture provides the answer to modern and agile data management.
Download this guide to explore:
- Fundamental principles of the data hub architecture and how it outperforms data lakes and lake houses.
- Ways the data hub pattern simplifies an organization’s architecture, data flows and data complexity.
- Convergence of iterative data harmonization and semantic data enrichment converge in a data hub.
- Benefits of data hubs for enhanced data security and data and AI governance.
- How data hubs built on a multi-model database support both run-the-business and observe-the-business use cases.
- Detailed case studies demonstrating how data hubs have been used successfully across industries.
This 75+ page ebook full of best practices is the most authoritative guide to building and using data hubs in the industry--and is a must-read for anyone architecting data fabrics or data integration solutions in the enterprise.
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