Data Mesh Architecture.

Data mesh architecture empowers business domains
to define, access, and control their own data products.

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Advantages of a federated
data mesh architecture

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Federated
DataOps

Enable business domains to create, consume, and share data products.

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Increased speed
and agility

Define and adapt data products
at the speed of business.

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Governance
and compliance

Control data quality, privacy and access, at any level of federation.

With data mesh architecture

Business domains productize their data

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The data mesh architecture empowers business domains with autonomy to define, create, govern, and share data products.  

Data products that are common across the domains may be managed by a central data team, and consumed by the relevant domains.

Data products are synced with their sources via any combination of data integration methods, and may publish and subscribe data updates between one another.

 

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Data products at the core

Data products lie at the core of the data mesh. They fuel both operational and analytical workloads – in real time or batch – depending on the use case.

A data product encapsulates all the metadata required to deliver the right data, to the right data consumer, at the right time. This includes data integration and delivery methods, schema, processing logic, sync rules, and governance policies.

A data product typically corresponds to a business entity – e.g., customer, device, work order, or warehouse – and manages the data for each instance of a data product.

Key principles of
data mesh architecture

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Data as a product approach

Data teams adopt a product lifecycle approach to data. A data product's lifecycle follows agile principles, by being short and iterative - to deliver quick, incremental value to data consumers.

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Business domain data ownership

Data mesh puts the control of the data in the hands of those closest to the data – the domain experts. Local control increases IT-business collaboration, improves business agility, and accelerates time to value.

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Self-service
data access

Data mesh lets authorized data consumers access and share data products, quickly and easily – shielding them from the data complexities found in the underlying systems.

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Federated
data governance

With data mesh, domains have the autonomy to create and deliver data products, while adhering to global rules – maximizing speed and agility, while adhering to common governance policies.

Data Product Platform
deploys as a data mesh

Powered by patented Micro-Database™ technology, K2View Data Product Platform can be deployed in a data mesh architecture, supporting a federated data operations model, with capabilities that span data integration and preparation, through metadata management and governance, to data tokenization and delivery.

data-integrity
Data Integration
Ingest and unify data from multiple sources, then pipeline it to target systems, always ensuring data integrity.
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Data Virtualization
Provide a logical abstraction layer to underlying systems, to make it easy to access trusted data.
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Data Preparation
Make data lakes and data warehouses instantly and always ready for analytics.
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Data Orchestration
Control data movement and data transformation, from source to target systems, code-free.
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Data Catalog
Discover and visualize metadata structure and lineage, from source to consuming web services.
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Data Governance
Control data synchronization, access, integrity, and security – using configurable rules and processes.
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Data Masking
Protect data at rest, in use, and in transit – across production, testing, and analytics environments.
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Data Service Automation
Generate, debug, and deploy web services in minutes, with an easy-to-use, no-code/low-code framework.
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Put your data to work

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“Data mesh is not just about the data; it is about making data work for a resilient, competitive business.”


Michele Goetz, VP, Principal Analyst, Forrester

Implement a data mesh architecture
with a real-time data product approach

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Data Product Platform lets you to create and deliver data products, quickly and easily, to fuel operational and analytical workloads, and enable the most sophisticated data mesh, data fabric, and data hub architectures – on premises, in the cloud (iPaaS), or across hybrid environments.

 

Learn more

Learn more about data mesh architecture