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Soda Core + AI
Shares tags: build, data, data quality assistant
AI Tool
Transform Your Data Quality with Great Expectations
The AI-driven data quality assistant that empowers your workflows.
Visit Great Expectations (AI docs)→
BuildDataData quality assistant
1Accelerate your data quality rule creation with automatic, context-aware suggestions.
2Effortlessly manage Expectations and Checkpoints with our streamlined GX Cloud interface.
3Achieve precise control over data quality rules with row-condition filtering.
overview
Overview of Great Expectations
Great Expectations is your go-to AI assistant for ensuring data quality across your workflows. Focused on enhancing data reliability, it offers customized quality rules tailored to your datasets.
- 1Automated data validation processes
- 2Seamless collaborations for data teams
- 3Integration support for AI, data platforms, and analytics
features
Key Features
Our platform is designed with innovative features that cater to the evolving needs of data professionals. With Great Expectations, you can take full control of your data quality management.
- 1Custom Expectation Suites for new data assets
- 2Interactive workflow for batch and schedule management
- 3Real-time insights for effective data governance
use cases
Use Cases
Whether you are building AI models or managing data pipelines, Great Expectations provides robust solutions for various scenarios. It’s tailored for data scientists, engineers, and business teams aiming for quality outcomes.
- 1Model development and optimization
- 2Production pipeline assurance
- 3Enhanced data reporting and analytics
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Frequently Asked Questions
+What types of users benefit from Great Expectations?
Great Expectations is designed for data scientists, data engineers, and business teams involved in AI and analytics, ensuring immediate, scalable, and collaborative data quality assurance.
+How does ExpectAI enhance data quality management?
ExpectAI automates the generation of context-aware data quality rules in GX Cloud, allowing for a significant reduction in manual rule crafting time while delivering customized expectations based on dataset patterns.
+Can Great Expectations handle large datasets?
Yes, Great Expectations is built for scalability, enabling efficient handling of large datasets through batch processing and targeted data quality rules without modifying source data.