The pace of relational analytical databases deploying in the cloud are at an all-time high. And industry trends indicate that they are poised to expand dramatically in the next few years. The cloud is a disruptive technology, offering elastic scalability vis-à-vis on-premises deployments, enabling faster server deployment and application development, and allowing less costly storage. The cloud enables enterprises to differentiate and innovate with these database systems at a much more rapid pace than was ever possible before. For these reasons and others, many companies have leveraged the cloud to maintain or gain momentum as a company.
"Data strategy is no longer reared by technology alone. Cloud data platforms need to acknowledge the competing expectations of the business as well as the skills and attitudes of enterprise data workers who make it happen," says Dr. Chris Marshall, Associate VP, Data, Analytics, and Artificial Intelligence, IDC Asia/Pacific. "Technology convergence and open source have increasingly leveled the playing field, but attitudes and skills remain slow to adapt to the new technical reality," he adds.
