Data Oculus
Data Profiling, Quality & more for Public Datasets





About | Details |
---|---|
Name: | Data Oculus |
Submited By: | Duncan Effertz |
Release Date | 10 months ago |
Website | Visit Website |
Category | Data & Analytics Data Data Science |
Data Oculus enables data scientists or analysts to easily extract maximum value from public dataset like Kaggle and Google cloud by providing detailed profiling and quality that saves lot of time and effort for everybody to understand the public datasets.
Huge congrats, @jay_deval_99 ! Thrilled to see the vision come to life. Looking forward to watching your platform grow and make a meaningful impact!
10 months ago
DataOculus provides comprehensive analysis of the data to ensure not only it maintains high quality but also its accuracy for the business needs.
10 months ago
This seems to be very useful product for data scientist. I really like the way UI is styled and how the info is presented. Good luck for the product !
10 months ago
I really like some of the metrics ( ex sankey chart for full view of all type of values in a column together) is there a way to do cross dataset analytics, like columns from different dataset and compare ? btw, interesting GTM strategy for data quality to target public datasets.
10 months ago
I had some trouble accessing the tutorial video on the site. It might be worth checking to ensure everything’s working properly.
10 months ago
It might be helpful to include some case studies or examples of how Data Oculus can be used in real-world scenarios. This could give users a better idea of its capabilities.
10 months ago
I’m impressed by the range of features you’re offering. Addressing data quality and profiling is crucial, and it’s great to see a tool dedicated to these aspects.
10 months ago
It adds an extra layer of reliability and assurance.the inclusion of data contracts for evaluating data validity is a noteworthy feature. This seems like a great tool for me invoved in data management.
10 months ago
The ability to integrate with various data sources and the clean UI is a nice touch. It’s great to see a platform that not only covers all data sources but also provides a seamless useer experience.I like how this tool aims to save time and increase productivity with its all rounder observability.
10 months ago
impressed with the focus on detailed data quality and profiling. access to freshness, completeness, and other dimensions of data quality will be helpful for many of us . best of luck with this release!
10 months ago
This tool's self service capabilities, with features like auto data discovery and custom rules, are fantastic. It simplifies data management and makes it more ccebile for me
10 months ago
It’s great to seee such comprehensive tools bundle together.The multi facet observability with detailed profiling and quality measures is a solid approach. This should make managing and understanding data much more effecient
10 months ago
The data observability feature looks incredibly useful. The ability to detect issues in seconds and have a 360° view of data is impressive. This could really streamline data operations and reduce business impct
10 months ago
Wow, Data Oculus sounds like a game-changer for anyone diving into public datasets! 🚀 The ease of onboarding and in-depth profiling will save so much time and effort. Can’t wait to see the insights it uncovers! Kudos to you, @jay_deval_99! 👏
10 months ago
Congratulations for launch of product. Data Oculus features set looks good and products seems useful for data profiling, analysis.
10 months ago