Part 1:
Overview of the methods

Get a comprehensive overview about modern data integration methods

1

Part 2:
Choosing a data integration approach

2

Learn more about each concept and how it fits to your individual needs

Part 3:
Getting big data insights

3

Expedite your decision on how to simplify data integration for your organization

The Challenge

Big data is here, and it’s transforming the very nature of commerce, enabling new insights, and accelerating the generation of business insights. While the concept of big data isn't new, its potential is just now being realized as powerful tools to organize, manage, and analyze, immense volumes of enterprise-generated and third-party data. But which data integration methods should be considered and what are the respective Pros and Cons?

Copyright 2017 DataVirtuality

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The Complete Guide to Data Integration 2017

This free e-book will give a complete state-of-the-art overview of all data integration approaches.

The Complete Guide to Data Integration 2017

This free e-book will give a complete state-of-the-art overview of all data integration approaches.
 

Big data is here, and it’s transforming the very nature of commerce, enabling new insights, and accelerating the generation of business insights. While the concept of big data isn't new, its potential is just now being realized as powerful tools to organize, manage, and analyze, immense volumes of enterprise-generated and third-party data. But which data integration methods should be considered and what are the respective Pros and Cons?

"We have been able to cut our development time by 80% which allowed us to spend more time on solving business problems and less time on the actual technical implementation"

Carly Kaufman
Manager of Data Services,
Craftsy
 
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