Big Data Glossary
What is DataOps?
Definition of DataOps
What is DataOps?
DataOps is a set of practices, processes, and technologies that aim to improve the speed, quality, and collaboration in data management and analytics workflows. Similar to DevOps in software development, DataOps focuses on automating and streamlining data pipelines to enable faster, more efficient delivery of accurate, high-quality data across an organization. By fostering collaboration between data engineers, analysts, and IT teams, DataOps ensures that data flows seamlessly from source to insight, making it easier for businesses to respond quickly to changing data and market conditions.
Introducing Crosser
The All-in-One Platform for Modern Integration
Crosser is a hybrid-first platform that in one Low-code platform has all the capabilities that you traditionally would need several systems for.
In one easy-to-use platform:
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- Inference of AI/ML models
- Automation Workflows
Platform Overview
Crosser Solution for Data Mining
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