Data Mesh is a decentralized data architecture that organizes data according to specific business domains, such as marketing, sales, and customer service. It treats data as a product owned by the teams that most intimately know and consume the data. This approach solves advanced data security challenges through distributed, decentralized ownership, enabling data integration and data analytics across multiple data sources from different lines of business.
Data Mesh emerged as a new way of thinking about data architecture to combat the challenges posed by monolithic system designs controlled by central teams. Unlike traditional data architectures, Data Mesh emphasizes decentralization and autonomy, which facilitates more resilient, scalable, and understandable data infrastructure across large and complex organizations. By distributing data ownership and treating data as a product, organizations can scale analytics adoption beyond a single platform and implementation team, aligning data management closer to the business domains that produce and consume the data.
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