Defining a Cloud-Powered DataOps Strategy: Meeting Data Velocity Demands

Although every organization has diverse data needs, they all have one challenge in common: business is moving faster than ever. In the stock market for example, an RPA bot can take only 5 milliseconds to respond to world news events with a trade. This real-time demand means that modern businesses that are seeking a competitive advantage have no choice but to harness their data to gain better business insights, quickly. One way to do this is to have a best-in-class DataOps strategy, and a cloud-powered DataOps strategy can make the world of difference - to your customers, your employees and to your bottom lines. In episode 3 of Matillion’s ‘Calming the Data Storm with the Cloud’ series, we’re bringing together DataOps leaders to share how businesses can use DataOps in the cloud to cope with data velocity demands and remain competitive. We’ll be sharing: - What DataOps is in the context of the cloud - How to go from 0 to DataOps in a world of increasing customer demands - What a winning DataOps strategy looks like and how can businesses expect to benefit - Key considerations and