Data Ops

DataOps is an automated, process-oriented methodology, to improve the quality and reduce the cycle time of data analytics

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Iterative data engineering requires changes in logic and code which need to be deployed to a Production Environment without hampering the existing business processes.We have mastered the art of continuous delivery by using modern-day containerization techniques to reduce the time from data to value.

Data Ops

WHAT WE DO

AUTOMATION

We help to containerize, automate workflows and build code pipelines which can be deployed instantly.

AGILITY

DataOps doesn’t require you to throw away your existing tools and start from scratch.You can keep the tools you currently use and love.

ETL/ELT

We help you establish governance discipline, with focus on data control, data ownership, transparency,security and comprehensive data-lineage tracking

OUR APPROACH

BUILD

We help in Deployment Automation, Data Pipeline Orchestration, Infrastructure Monitoring and Performance Management. Our goal is to help you build an environment which is up and running 24/7 with minimum human intervention.

OPERATE

We help in Deployment Automation, Data Pipeline Orchestration, Infrastructure Monitoring and Performance Management. Our goal is to help you build an environment which is up and running 24/7 with minimum human intervention.

TRANSFER

Our goal is to make you self-sufficient and transfer technology, know-how to your team members. Continuous Integration, automation, containerization and microservices techniques help you manage/migrate complex processes without re-inventing the wheel.