The Essential Guide to Data Integration

About the Paper

Fivetran_DMRadio2019WP_Cover.PNGAutomated ELT just isn’t as well known as it should be, even to data professionals. Many organizations and professionals still work with on-premise stacks, build their own data connectors, and otherwise behave in ways that are not conducive to making full use of their data.

Competitive analytics starts with automated data integration. The growth of cloud data has created unprecedented opportunities to develop new products and pursue advanced analytics. The volume and complexity of this data, however, pose an integration challenge that few organizations are equipped to handle. Automated data integration helps businesses fully harness data to accelerate and improve strategic decision-making. In this guide, we survey the history of data integration, evaluate current solutions, and show you how to choose the best integration tool for your business.

Learning: The reader will learn about
     •  The evolution of the modern data stack
     •  Why data integration is even harder than it used to be
     •  How automation is crucial to modern data integration
     •  Building vs. buying a data integration solution
     •  Business and technical criteria for choosing a data integration solution
     •  How to implement a data integration solution

By registering to download this White Paper hosted by DATAVERSITY®, as applicable by local privacy laws, you agree to receive marketing e-mail notifications from DATAVERSITY, sponsors, and partners associated with this paper. Use of this contact data is governed by each individual entity’s Privacy Policy. Just click the “unsubscribe” or "Manage Your Email Subscriptions" link in any e-mail to unsubscribe.
For more information or to offer feedback, email: [email protected] | Advertise With Us 
Copyright © 2011-2020 DATAVERSITY Education, LLC. All Rights Reserved.
13020 Dickens Street, Studio City, California 91604 | 1 (310) 337-2616
Terms | Privacy