The shift to the cloud and “as-a-service” applications means that data now lives in more areas than ever before. What is the approach to solve this issue? Cloud data management. As companies move to the cloud for their apps, whether these are on Platform-as-a-Service or Infrastructure-as-a-Service offerings, or run as Software-as-a-Service apps, the cloud becomes the natural home for Data Management-as-a-Service (DMaaS).
From my perspective, DMaaS involves three key elements:
- Data Protection – this covers the duplication and management of secondary copies of data for continuity, recovery and archival purposes. What is different is that this approach involves thinking about all your data, wherever it happens to be, rather than looking at site specific platforms or one-to-one services.
- Data Governance – this involves understanding the rules and compliance frameworks that you have to meet. Whether you are a large enterprise or a small one, or a public sector organization, there will be specific rules on data handling that you will have to adhere to. This is where DMaaS comes into play. DMaaS makes a significant difference by unifying visibility and policies across your data to ensure alignment, which quickens response time to inquiries.
- Data Intelligence – as your data continues to grow and and it’s being managed, you can start to think about what other processes can be supported. Building up insight into what is taking place across your organization, with regards to data, can be useful for analytics and insight. For example, spotting an unusual pattern of behavior around files can flag a ransomware incident, or a user carrying out activity that is suspicious.