Gartner Research

Differences Between Data Hubs, Data Lakes and Data Warehouses, and How to Combine Them to Support Complex Workloads

Published: 27 March 2020

ID: G00722935

Analyst(s): Talent Analytics Research Team

Summary

Many HR analytics leaders think of data hubs, data lakes and data warehouses as interchangeable alternatives. In reality, each of these architectural patterns has a different primary purpose. When they are combined, they can support increasingly complex, diverse and distributed workloads.

Table Of Contents

Overview

Strategic Planning Assumption(s)

Introduction

Analysis

Gartner Recommended Reading

Notes

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