An amazing platform to transform data, ensure quality, and automate robust data pipelines
Use Cases and Deployment Scope
The suite helps transform data, ensure quality, and automate data
pipelines, enabling consumable data at any scale. It provides new variety of approach to profiling, preparing, and
pipelining data. It assist in transforming and delivering usable data for insights and
analytics as well as monitor the quality of data iteratively as the data
pipeline evolves.
Pros
- It provides ability to profile, discover, and validate data quality.
- It allows to drill down into larger amounts of data.
- It automatically suggests possible quality rules based on a statistical profile of the data.
Cons
- It can expand connectivity to apply adaptive data quality rules to any data source.
- It can employing more advanced transformation techniques to transform data for specific formats.
- It can further continue on its existing capabilities like providing more enriched data curation.
Most Important Features
- Data profiling
- Ongoing data quality assesment
- Visual guidance
Return on Investment
- Accelerated data transormation
- Increase collaboration
- Automated processeing
