What Big Data Mistakes are You Making?

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Understanding Data Integration for Big Data Dear Charles, The success of Hadoop projects in your enterprise depends on how well you can handle data on premise, in the big data reservoir and in the cloud. Decision makers need timely, trustworthy information from their data integration and analytic solutions to create value for their business. In this paper, we focus on big data integration and take a look at the top five most common mistakes enterprises make when approaching big data integration initiatives and how to avoid them. Inability to identify enterprise grade technologies for Big Data Unsuccessful in adapting to new Big Data Architectures Unable to understand and prioritize evolving data integration principles Underestimating the importance of Big Data Governance, and Not fully exploiting the powers of Hadoop (hint not just storage). Read this White Paper Now to Dive into The Five Vital Big Data Integration Mistakes. Read Now Copyright © 2016, Oracle Corporation and/or its affiliates. All rights reserved. Contact Us | Legal Notices and Terms of Use | Privacy Statement

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