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.
- 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.
- Operate – Continuous Monitoring manages the data flow performance. Monitor Pipelines, gather metrics, fulfill SLA’s.
- 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.
- 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
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.
Here is everything that we can offer you in the DevOps applied to Big Data and AI:
- 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.
We offer deep experience and technical proficiency
in multiple technology stacks.
Have a look at our technology stack
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Use Cases
Big Data & Advanced analytics implementation
Domain: Multiple Industries Service Area: Big Data & Advanced Analytics
Product Traceability Process Mining
Domain: Supply Chain Management Service Area: Big Data & Advanced Analytics
Amazon Forecasting for Inventory Management
Domain: Supply Chain Management Service Area: AI/ML