Today, organisations are investing heavily in new cloud-based processes, platforms and environments in order to achieve benefits like scalability, elasticity, agility and cost efficiencies. At the same time, organisations also understand that data is foundational to successful digital transformation, and cannot be an afterthought.
As these trends converge, IT departments are tasked with helping the business become cloud ready or cloud first, specifically as they modernise analytics. However, when it comes to managing the data in cloud data warehouses, data lakes and lakehouses, the typical approach by IT departments can result in increased cost and maintenance complexity–wiping out any benefits of modernising analytics in the cloud.
Download this whitepaper now to learn how to overcome drawbacks and realise four key elements of intelligent, automated cloud data management.
Provided by
