Unlock the Power of Cloud-Native Databases: Modernize Your Data Management Today
Storage isn’t always top of mind when we think of modernization, but leveraging data lakes and cloud-native databases can be a game-changer for organizations. This can help to better classify data, enforce security and privacy controls, and build a foundation for advanced analytics. A data lake is a logical next step when looking to modernize your data. This serves as a central repository for landing raw data, including both relational data (from business applications) and non-relational data (from mobile apps and social media). In a data lake, data can be stored as-is, while cloud-based databases can then turn that raw data into actionable insights.
Challenges with legacy storage systemsData is growing exponentially—and much of that data is unstructured. On-premise storage must be continually upgraded, provisioned and managed to meet this growing demand. Data stored on-premise or in disparate locations can make it difficult to leverage that unstructured data for more advanced applications, such as analytics and artificial intelligence. Security is another major issue. Fine-grained access control allows organizations to enforce user consents, enable data security and comply with data privacy regulations. But providing fine-grained access is difficult (and costly) with legacy data stores, which could open up your organization to security and privacy risks.
Taking the next step: Storing data in the cloudCloud-based storage is highly scalable, secure and redundant. Unlike legacy solutions, security and backup are unified in the cloud. Protecting against a ransomware attack, for example, is made easier with redundancy and backup in the cloud combined with advanced security features. If you’re not ready to move everything over to the cloud, you can explore a hybrid solution, with some data stored on-premises and some in the cloud. Most cloud providers also offer automated controls over data storage and management. Consider the possibilities:
- Data that hasn’t been accessed for a certain period of time could automatically be moved to a lower tier of storage that’s more cost-effective.
- Automation can define policies for how data is secured, how often it’s backed up and how long it’s retained.
- Permissions settings can control who can access what data, and what they can do with it.