What we offer
Nimbus will speed through tools selection, architecture & design and get your Data Engineering project’s MVP delivered at a fraction of what it could take otherwise, at no additional cost. It's tried-and-true design pattern and pre-built modules have handled complex data ingestion, validation, search and publishing scenarios
Why Nimbus
Recommends context-driven, best of breed services
Simplifies Implementation using managed services
Emphasizes on data security, validation & quality
Builds strong foundation for data governance
Looking to reduce your GTM time with our data ingestion solution?
Request a DemoKey Highlights
A Cloud/on-premise data ingestion solution acceleration time-to-market by integrating data quality & validation as value chain elements
- Supports multiple ETL tools like Nifi, Spark,SQOOP
- Supports API, File & RDBMS ingestion
- Supports batch and streaming Data sources
- Support for AWS based and on-premise data lakes
- On-premise data lakes
- Used to verify and validate quality of large data sets
- Users can add & edit quality constraints on the run
- Data metrics to filter out non-compliant data sets
- Visualization dashboard to view the reports & metrics
- Highly flexible & compatible with multiple data sources
- Generic checks to ensure the proper flow of data between various stages of pipeline
- Pluggable CI/CD & new test cases, with reports for every run