Results for tag: "Data Mesh"

Data Mesh is a decentralized socio-technical approach to data architecture and organizational design in IT. It emphasizes the importance of creating domain-oriented, self-serve data infrastructure as a product. Within the context of IT Security, Data Mesh prioritizes robust governance, compliance, and security protocols that are embedded into the data platform itself. Unlike traditional centralized data lakes or data warehouses, where security controls can be uniformly applied, Data Mesh involves distributing the responsibility for data stewardship to domain-specific teams. Each team must enforce appropriate access controls, encryption, auditing, and data lineage tracking as part of their domain's data product offerings. The security challenge in a Data Mesh environment is ensuring consistent application of security policies across disparate domains without impeding accessibility and agility. Solutions typically involve a combination of policy-as-code, secure data access patterns, and automated compliance tooling. Continuous monitoring and validation of security practices are also critical in maintaining a strong security posture as the mesh evolves. Several companies provide solutions or contribute to the Data Mesh market with a focus on security. These include: - Zalando (with its Data Mesh implementation) - Thoughtworks (contributing to the concept and methodologies around Data Mesh) - DataStax (offering data management systems that can be adapted to a Data Mesh architecture) - Talend (providing data integration and integrity tools compatible with Data Mesh principles) - Databricks (offering a unified data analytics platform that can support Data Mesh architecture). Show Less Read more