In today’s digital economy, companies are faced with a fast data challenge as well as a Big Data one. As a result they are under pressure to adapt their analytics processes and data flows at pace to move beyond traditional data warehouse silos.
Big Data projects are either too big or too complex to handle the traditional way. That’s why most projects by companies at the start of their Big Data initiative have no process at all. Waterfall approaches are notably inefficient as you probably won’t have access to proper staging environment and only limited time and scale for qualification.