Adopt DataOps to drive operations forward.

Deliver trusted data, faster, to fuel operational use cases.

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Scaling data delivery across the enterprise

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Drive speed
and agility

Automate, to enable continuous
delivery of data
 to the business.

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Build for reuse
and flexibility

Use existing data pipelining
workflows for new use cases.

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Govern data
by design

Apply governance rules
to new data pipelines.

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Dev, data and beyond

DataOps (Data Operations) removes the barriers to data access and management, delivering needed data quickly, reliably, and at scale – regardless of the business use case. 

K2View enables DataOps via its Data Product Platform, and patented Micro-Database technology, allowing for agile data delivery. With DataOps, data teams can add new data sources quickly, logically organize the data for easy consumption, and provide access to the data via data services.

By combining four key disciplines – Data Integration, Data Orchestration, Data Governance, and Data Service Automation – K2View enables organizations to adopt DataOps, and continuously deliver the data that enables, and optimizes, operational workloads.

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Continuity is key

For companies to achieve business agility, they must operationalize their data management at enterprise scale. K2View DataOps extends key concepts of DevOps to the realm of data, to enable faster and more reliable data delivery to the business: 

  • Continuous data integration– Enabling quick Data Integration and Multi-domain Master Data Management to new sources for consistent, real-time access to trusted data. New sources are continually reflected in the platform's Data Catalog.
  • Continuous data delivery Ensuring that changes to the data model (such as, accounting for a new source) are handled on the fly, and don't require downtime.
  • Continuous data deployment – Making data available to any consuming application in any data delivery method: Data Services, ETL, Data Virtualization, streaming, and messaging

 

DataOps by data products

Data products
empower DataOps

K2View brings a data product approach to DataOps.

data product delivers a complete set of data on a specific business entity – such as a customer, vendor, or store – managed within its own, encrypted Micro-Database.

The K2View Data Product Platform supports both operational and analytical workloads, and can be deployed in a data mesh or data fabric – on premises, in the cloud (iPaaS), or across hybrid environments.

With the K2View platform, DevOps teams can collaboratively implement a broad variety of operational use cases, such as:

Collaboration across data teams

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In an agile business environment of emerging technologies, sophisticated operations, and advanced big data analytics, many cross-functional roles are involved in building the data pipelines and extracting business value out of them:

  • Data professionals
  • Data scientists (AI)
  • Business analysts
  • ML model developers
  • Data architects
  • Data product managers
  • Data modelers
  • DBAs
  • Data engineers
  • Data security teams
  • Data stewards
  • Data protection officers
  • Data analysts (BI)

K2View DataOps allows for clear communication and collaboration across data teams. Each role understands what others expect and produce, and all understand the requirements and goals of the pipelines they are creating.

 

DataOps for data-driven enterprises

The K2View Data Product Platform is particularly useful in supporting DataOps in  industries where data fuels operational excellence and innovation.

Learn about the specific DataOps use cases and capabilities that K2View provides to support such industries. 

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Financial Services

Provision DataOps in banks and insurance companies.

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Telecommunications

Deliver DataOps to communications service providers and media companies. Learn More

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Healthcare

Deliver DataOps to healthcare and life sciences organizations. Learn More

Learn how K2View DataOps consistently delivers data to drive business outcomes.