Today’s enterprise data platforms leave a universal set of challenges, including data silos, data governance, data quality, and data access. These challenges delay organizations from delivering data on time and creates friction between data consumers, data producers, and central IT teams.
Data mesh is a methodology that helps solve these challenges by decentralizing data ownership and management, creating data products, and establishing a culture of data collaboration. As a result, data consumers get faster access to data and central IT delivers data for governed self-service analytics.
The only data lakehouse with an integrated self-service semantic layer that supports on-premises, hybrid, and cloud deployments
Answer all your BI questions at sub-second speed with Dremio’s data reflections
The easiest way to manage your data products as code and ensure data consistency
Dremio is the only data lakehouse that delivers self-service data products anywhere, on-premises, hybrid, or cloud. Unify enterprise data and simplify data access with a single solution for data mesh. Here’s how we make the four core principles of data mesh a reality.
Answer business questions using SQL or an easy low-code/no-code experience and integrations for all data consumers. With data reflections, Dremio is the fastest for all BI workloads.
Learn how data reflections brings the semantic layer to life ->
Give data consumers a consistent and accurate view of data at all times. With data as code, catch mistakes before deploying your ML models and BI dashboards into production.
Discover and understand data with minimal to no data engineering overhead. Federate domain ownership and enrich your data with business context using the searchable, integrated catalog experience.
Build trust between domains and make decisions about how data is used and shared across the enterprise. Govern access to data and remove the need for copying data into data warehouses or BI extracts.
Deliver Unified Data Access With Dremio’s Open Data Lakehouse
Data as code is the practice of managing data the same way software manages code in application development. Learn how Dremio Arctic simplifies and accelerate the process of building, managing, and sharing data products.
Learn more ->
Monolithic data architectures have challenges keeping up with business demands. Learn how data mesh addresses some of these with an open data architecture.
Learn more ->
In this episode of Gnarly Data Waves, Alex Merced will demonstrate how Dremio's semantic layer enable data mesh for the enterprise. The semantic layer unifies data access and gives data consumers a way to create and share data products.
Learn more ->
