Data Oculus
Data Profiling, Quality &Contract as service 4 public data
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Deval P.

Data Oculus - Data Profiling, Quality & more for Public Datasets

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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.

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Deval P.
Maker
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What is Data Oculus? Data Oculus is a complete data observability platform that can monitor, detect, prevent and remediate any type of data with user defined requirements, all in real-time. While Data Oculus's long-term vision is to become a data-dog for data, the current release is focused on one of the most under-rated yet valuable asset - The public datasets! Why Public Datasets? Public datasets often lack quality and it's hard to deal with, but also has lot of potential value because its real-world data. Every data scientist and analysts have to put lot of effort to integrate, setup and code to understand and perform exploratory data analysis (aka. EDA). and yet no one is really providing this. Why Data Oculus? Because only Data Oculus can :) Data Oculus is built differently. It is designed to be easily integrated with public dataset catalog to provide single click onboarding of datasets to monitor. This way we can empower all data consumers to easily extract maximum value from every public dataset quickly, without any effort and free! Key Features: Data Oculus leverages advanced algorithms and techniques to efficiently profile and analyze datasets, offering a most comprehensive coverage of metrics. This tool unveils hidden insights and potential issues in the data, enabling data consumers to make informed decisions and drive impactful analyses. Gone are the days of tedious manual data exploration and guesswork. 1. Complete Data Profiling: dataset summary, column metadata, statistics, distribution plots, quality metrics & more! 2. Cardinality: Quickly understand unique, duplicates, distinct & more; even distinct duplicates! 3. Missing Value Distributions: Visualize missing values across the dataset and column over time! 4. Dynamic Histograms with e-CDF: Choose your own bins! Visualize data distributions with any number of bins without re-querying the data. 5. Data Quality Dimensions: covers Completeness, Validity, Freshness, Cardinality. (Accuracy and Consistency coming soon...) to assess dataset quality and its fitness for analysis. 6. Custom Rules and Data Contracts: Most comprehensive rule engine for your custom rules on the dataset, and ability to define data contracts as per your requirements of data quality. Customize profiling parameters and thresholds to focus on specific aspects of the data. 7. Collaboration and Sharing: Share data profiles and insights with colleagues and collaborators with sharable links. 8. Easy Onboarding and Integration with Kaggle and Big Query Public datasets: one click onboarding of new datasets from Kaggle and Big Query and more... via chrome extension. Whether you're exploring new datasets, validating hypotheses, or preparing data for analysis, this extension is your trusted companion for data observability and insights-driven decision-making. If you use public datasets, Data Oculus is for you. Best of all, it's both comprehensive and free! Tag: @kagglenyc Google Cloud Platform Dataset Search Google Data Studio
Pradhumn Vijayvargiya
@kagglenyc @jay_deval_99 looks nice, all the best for launch
Deval P.
Maker
Thanks @prad_vv
Declan Xavier Holbrook
Data Oculus looks super helpful for anyone working with public datasets! It may saves many time.
Deval P.
Maker
@declanxavierholbrook Yup!, Thanks for the recognition, This is exactly the goal, every hour saved for the data analyst is hour better spend on more analysis or with the family :)
Divyesh
Congratulations for launch of product. Data Oculus features set looks good and products seems useful for data profiling, analysis.
Deval P.
Maker
@getdvs Thanks for the review !
Mason Derek Holloway
Sounds like a very useful tool. love the idea of simplifying public datasets. Congrats on the launch!🙌
Deval P.
Maker
@masonderekholloway Thank you!, Ya, we noticed that while there are many tools that aims to provide data quality, none really covers this. so we wanted to start by helping the data analyst community and solidify out profiling offering. This will always remain free !
Star Boat
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! 👏
Deval P.
Maker
@star_boat Thanks for checking it out and support. We would really love to see this becoming part of data scientist every day activity!
Alexander William Hawkins
@jay_deval_99 hey, this looks super useful and just what I need for working with public datasets. Quick question though—do I need to know any coding to set up custom rules and data contracts? I'm not a developer, so I wanna know if that's gonna be a hurdle for me. Thanks.
Deval P.
Maker
@alexanderwilliamhawkins Thanks No coding is needed, everything is drag and drop. but custom rules and more will be part of paid version. This is free version which won't allow creation of rules or contract. but we are working towards paid version ( super cheap) to let user make customizations.
J Seeker
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.
Deval P.
Maker
@j_seeker Thanks ! currently its not enabled on UI to do it, but we have all the metric in the backend so its just matter of providing view. we will add this to the roadmap. Thanks for the review !
Mamta S.
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 !
Dapp
DataOculus provides comprehensive analysis of the data to ensure not only it maintains high quality but also its accuracy for the business needs.
Jiten Oswal
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!
Deval P.
Maker
@jitenoswal Thanks !