YData
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About
YData helps data scientists unlock data's full potential. YData Fabric empowers users to easily understand and manage data assets, synthetic data for fast data access and pipelines for iterative and scalable flows. Automate data profiling for a simple and fast exploratory data analysis. Generate synthetic data that mimics the statistical properties and behaviour of the real data. Refine and improve processes with pipelines - consume the data, clean it, transform your data and work its quality to boost AI models' performance.
Platform
Task
Features
• synthetic data generation
• data profiling
• self-hosted deployment
• pipelines
• data catalog
• kubernetes-native solution
• fabric sdk
FAQs
How does YData ensure quality in the synthetic generated data?
YData has an automated quality and privacy control process for every dataset generated with the goal to control the quality, utility, and privacy of the newly generated data.
How YData ensures synthetic data is compliant with privacy regulations?
YData has a strong foundation in the literature that supports the solution in regard to privacy safety.
How does YData ensure the data never leaves your infrastructure?
YData's platform is deployed on your infrastructure (either cloud or on-premises), ensuring that there's never a data transfer between your company and YData.
Is synthetic data safe to share or sell?
Yes. It is not proprietary and does not contain PII (Personally identifiable information), plus YData generates an automated and detailed report regarding the quality of the generated data.
What if I want to know which record a synthetic one refers to? Can I trace it back to the original one?
You can't. If you want to perform operational activities, business as usual, and single record operations, you'll need real data.
Do you transform the data? Preprocessing, cleaning, or other?
Data synthesization is the process of generating new data, not transforming the existing one. However, before YData generates new data, there's a preprocess of the original data in order to create new data with higher quality.
How does YData deal with BIAS in the data?
This is a very controversial question because bias can happen at several different levels, meaning it can happen at the level of the data collection, the data processing, or during the process of building a model.
How does your synthetic data differ from the ones generated using SMOTE or ADASYN?
SMOTE and ADASYN are very popular and familiar algorithms to be used by data scientists to deal with highly imbalanced datasets. While they have proven to be highly beneficial for low-dimensional data, the same does not apply.
What kind of automated data preprocessing do you perform in the data?
We take care of all the data preprocessing that might not be dependent on business insights. We cover the following steps with our data preprocessing: encoding, inconsistencies detection, missing values imputation, and normalization while ensuring scalability.
What metrics do you use to evaluate data quality of the generated data?
The metrics vary depending on the type of data that we will be working with. As we support both tabular data with no time dependence and time-series data we’ve created a distinct validation flow for each type of data.
What metrics do you use to evaluate the data privacy of the generated data?
We also use different methods to be able to measure the level of privacy ensured by the newly generated data, from simple methods of Neighbouring Observation Removal to Data Source Prediction and Membership inference attacks.
How does YData tackle Bias and Fairness in data?
There are many forms of Bias and Fairness in the data science lifecycle. The way YData helps organizations is by providing an easy way for the data science teams to understand the data they’re working with through an automated data exploratory analysis and then they can leverage the data synthesization tool to balance those datasets.
Pricing Plans
Community
Free Plan• 20+ connectors
• Data Catalog
• Automated Data Profiling
• Labs
• Synthetic Data Generation
• Fabric SDK
Pay-as-you-go
Unknown Price• Everything from Community plus:
• Automated Database Profiling
• Labs enhanced
• Synthetic Database Generation
• Pipelines
• Unlimited scalability
• Unlimited concurrent users
• Self-hosted on AWS & Azure
Enterprise
Unknown Price• Everything from Pay-as-you-go plus:
• Predictable pricing
• Deploy on private cloud
• Deploy on-premises
Job Opportunities
There are currently no job postings for this AI tool.
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