The world of data management is changing rapidly, from the way we work, to the underlying technologies we rely upon. Since the term “big data” swept the world off its feet, Hadoop, NoSQL and Spark have become members of the enterprise landscape, data lakes have evolved as a real strategy and migration to the cloud has accelerated across service and deployment models. From systems of record, to systems of engagement, data architecture is an important as ever and the traditional models aren’t working anymore.