Data mesh is a concept. You need to develop data products and make them discoverable and interoperable to extend the usage of data for business benefits. This happens at its best when it is developed by domain/business units that are experts in the specific areas, due to the simple fact that they know the business and are supporting the data more than anyone else in the organization. This requires many components to come together - domain knowledge, responsible business/data stewards, technology experts, a paradigm shift in ways of working & change management, governance processes & policies, a technology platform, etc. Data fabric is important to make data mesh practical - that is the technology backbone that makes it possible to provide context to data, make data discoverable, enable self-service of data, manage data through stewardship workflows, and more.
Data Governance ensures accurate and consistent data management across an organization. It establishes clear policies and standards for data management, helping companies maximize their data's value.Solutions in Data Governance offer structures and processes that streamline data management, ensuring compliance with regulations and enhancing data quality. Businesses benefit from improved decision-making capabilities and operational efficiencies. Feedback highlights the adaptability of these...
Data mesh is a concept. You need to develop data products and make them discoverable and interoperable to extend the usage of data for business benefits. This happens at its best when it is developed by domain/business units that are experts in the specific areas, due to the simple fact that they know the business and are supporting the data more than anyone else in the organization. This requires many components to come together - domain knowledge, responsible business/data stewards, technology experts, a paradigm shift in ways of working & change management, governance processes & policies, a technology platform, etc. Data fabric is important to make data mesh practical - that is the technology backbone that makes it possible to provide context to data, make data discoverable, enable self-service of data, manage data through stewardship workflows, and more.