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E-Book

Data Hub Guide for Architects

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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.

Data Hub Architecture

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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Data Hub Guide for Architects

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