The data mesh isn’t the end . Now that we’ve established that the data mesh needs a data foundation to operate successfully, let’s explore what the data mesh leads you to.

Multi-modal data pipelines: Batch or Change Data Capture (CDC) Output connectors; Strong data cataloging; Strong policy enforcement; Version control of data product schemas; Strong data culture; ...

Data mesh enables a decentralized approach to data management, greatly boosting the productivity and insight gained from your data store. Written by eWEEK content and product recommendations are ...

Piethein Strengholt, author of Data Management at Scale, recently published an article presenting six data-mesh governance topologies and domain granularity. Each topology adapts the data mesh strateg ...

The data mesh breaks this stagnating pattern in four fundamental pillars: business domain ownership, data as a product, self-service infrastructure and federated governance.

Remember, data mesh is not just about the data, it is about making data work for a resilient, competitive business. By Michele Goetz Michele Goetz is vice-president and principal analyst for ...

Data mesh empowers enterprise AI by enabling secure, flexible access to domain-specific data, which is crucial for unlocking real business value from AI. Conversations about AI technology involve ...

In a data mesh, domains are represented by a node, which can be an operational data store (ODS), a data warehouse, or a data lake tailored to the domain’s requirements. Domains can ingest operational ...

While data mesh is not defined by technology, in the real world, specific engineering groups will own the underlying data platform, whether it be a database, data lake, and/or streaming engine.

Cloud delivery has become the norm for enterprise applications, with reports projecting that the global public cloud services market will grow 17% this year. However, some applications migrating ...