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Cloud security: How to secure your data mesh
Data lakes are old news. But cybersecurity isn't.
Future-focused businesses are adopting a data mesh architecture as part of their data and analytics modernization strategy to reach their business goals. And they're building it in the cloud.
Of course, there are always security, governance, and compliance issues to consider. If you have data in the wrong hands at the wrong time, this can lead to data breaches, hefty fines, and significant brand damage. So, what can you do to secure your business' data?
Before we explore the solution, let's recap some of the basics.
A data mesh is essentially a decentralization of data that puts data management responsibilities in the hands of the people who are closest to it. With a data mesh, you can create data products for different personas and business units. This makes it far easier to meet the demands of your data stakeholders and improve data quality.
Building a data mesh supports the approach of data as a product. The data mesh will allow for relevant teams to take ownership of the data products – tailoring and updating them whenever necessary – and allowing access via a data catalog.
Data security is always a top priority. And a data mesh comes with new – and some familiar – challenges:
With these challenges in mind, it's easy to see why data leaders want clear governance, risk mitigation, compliance, and ownership of the data product lifecycle. Thankfully, we have five tips to help you better manage your cloud-based data mesh:
These five tips are just the start. Your data mesh will continue to grow and evolve. Perhaps you want to add new analytics workloads or build new machine learning models. But you can only do this on a secure foundation, which is why you must put security at the top of your priority list.