not be able to get a full picture of your business. This potentially affects the ability of
a business to make crucial decisions, such as how to improve your products and services,
the best way to speed up manufacturing or where to site new warehouses. Your data
will lay dormant, scattered, unused and often perceived to deliver no extra value.
There are many different models of enterprise data architecture, all with different
benefits, drawbacks and challenges for a business. The aim of this white paper is to
guide decision makers towards an enterprise data strategy that will get maximum
benefit from their data while staying realistic given timelines, skills available and budget.
3
Data Integration
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Table of contents
Introduction
2
The Guide
5
Using Operational Data Directly
5
Operational Data
6
Unstructured data
6
Developing a data culture
7
Operational Data Store
8
ODS (Operational Data Store)
8
Data integration
9
Data Warehouse
10
Data Warehouse
11
Which type of data warehouse?
12
Inmon vs Kimball
13
Data Vaults
14
Data Vault
15
Three data warehouse methodologies compared
15
Data Lakes
16
Data Lakes
17
Data lake vs conventional data warehouse
18
Impact of the cloud
19
Cloud19
Conclusion
20
4
Data Integration
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www.cloveretl.com
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