Navigating the Complexity of Big Data Transformation

Businesses must deliver a consistent, high-value experience — or risk losing customers to someone who can. And they’re turning to big data technologies for help.

With big data, they can get to know their customers better, learn their habits and anticipate their needs to ultimately deliver a better customer experience.

But existing on premise relational database management systems are becoming too expensive to maintain and scale. As a result, more than three-quarters of enterprises are planning to increase their off-premise data management in the next year, according to Forrester Research in its April 2017 study, “Navigating the Complexity of Big Data Transformation,” commissioned on behalf of Rackspace. In the infographic below, you can walk through the Forrester’s latest big data trend findings, or you can download the entire report.

When you’re ready to go deeper, check out our free How-To-Guide, “Moving Your Big Data Strategy to the Cloud,” which offers step by step solutions for challenges like data integration, security, resources and transitioning from legacy systems. big data transformation infographic


Chandra serves as Big Data Practice Leader for Rackspace Global Solutions and Services, responsible for providing consulting services for some of our largest Big Data projects across Azure, AWS and dedicated IaaS. He has more than 20 years of experience in the technology consulting industry with deep expertise in traditional Datawarehouse/OLAP/OLTP based platforms, plus modern data stores such as Hadoop, Cassandra & MongoDB. Chandra earned an MBA from Pepperdine University and Bachelor’s degree in Industrial & Systems Engineering.


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