Data DevOps

Applying DevOps to Data and AI

Which brings us to the DataOps, and it is the latest Agile operations method from the collective of DevOps and Big Data professionals. It works on Data Management practices and processes which improves the accuracy of analytics, speed, automation including data access, integration, and management. It also helps in managing data with goals for that data. DataOps combines Agile Development, DevOps and Data, as supporting an iterative lifecycle for big data and data flow.

Our Approach

We offer deep experience and technical proficiency in multiple technology stacks.

Build

Build is a design topology of repeatable data flow pipelines, flexible using configuration tools rather than hard coding. Cross-functional teams build adaptable, repeatable data flow topologies.

Execute

On Edge system run pipelines and also run a pipeline in Autoscaling On-premises Cluster or Cloud-environment. Across Multiple Cloud and On-premises.

Operate

Continuous Monitoring manages the data flow performance. Monitor Pipelines, gather metrics, fulfill SLA’s.

Protect

Data protection done by DataOps tools integrated with unauthorized access, data stores, authorized systems, and authentication. Handles sensitive data, provide metadata to governance systems.

Our Offerings

Build Quality CI/CD Pipelines for Big Data platforms Solutions
Perform Big Data Capacity Planning over Cloud
Enable and automate ingestion of Data to achieve real-time Data flows
Implement and Manage full Automated Deployments
Enable Test Automation of Data and AI/ML
Implementation with full automation and manage the overall performance
Build Resilient Big Data platforms with High Availability and Scalability
Efficient, Real Time Monitoring, Logging and Alerts of Big Data platforms
Setup Big Data Platforms Cloud Security with data governance and access & identity management.

Leveraging our expertise in both DevOps and Big Data Administration, we ensure architecture setup, implementation with full automation and manage the overall performance of big data platforms ensure high throughput and availability. We also help businesses identify potential threats through, data governance and access & identity management to help ensure data security.

Ready to talk?

We offer deep experience and technical proficiency in multiple technology stacks.

Write Us!

Data DevOps￼

Applying DevOps to Data and AI

Our Approach

Build Build is a design topology of repeatable data flow pipelines, flexible using configuration tools rather than hard coding. Cross-functional teams build adaptable, repeatable data flow topologies.

Execute On Edge system run pipelines and also run a pipeline in Autoscaling On-premises Cluster or Cloud-environment. Across Multiple Cloud and On-premises.

Operate Continuous Monitoring manages the data flow performance. Monitor Pipelines, gather metrics, fulfill SLA’s.

Protect Data protection done by DataOps tools integrated with unauthorized access, data stores, authorized systems, and authentication. Handles sensitive data, provide metadata to governance systems.