By using website you agree to our use of cookies as described in our cookie policy. Learn More


The Five Most Common Big Data Integration Mistakes to Avoid

January 1, 2016

Big data projects have fascinated business executives with the promise of higher business returns and greater customer understanding. However, far less talked about is the large number of big data projects that have hit a plateau within businesses and failed to deliver the promised pot of gold.

The success of any big data project fundamentally depends on an enterprise’s ability to capture, store, and govern its data. The better an enterprise can provide fast, trustworthy, and secure data to business decision makers the higher the chances of success in exploiting big data, obtaining planned return on investments, and justifying further investments. This white paper focuses on big data integration and takes a look at the top five most common mistakes enterprises make when approaching big data integration initiatives and how to avoid them. Understanding and fixing these mistakes will kick-start your big data integration project.

Your e-mail address is used to communicate with you about your registration, related products and services, and offers from select vendors. Refer to our Privacy Policy for additional information.

TDWI Membership

Get immediate access to training discounts, video library, research, and more.

Find the right level of Membership for you.