Technology plays a key role in driving – or deterring – enterprise adoption of self-service data analytics. While users remain focused on their functions within the modern analytics lifecycle, the set of key technologies performing ubiquitously in the background must facilitate everyone’s data work efficiently to increase tool adoption and use. The biggest technology shift will be when the community transitions from a collection of individual desktops for development and execution to a server-based platform for executing all workflows reliably. Technologies that
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