Data Observability
The Data Observability simplifies data quality onboarding for modern businesses by offering checks for tabular, structured, and unstructured data. It includes built-in quality assessments for null/missing values, statistical distributions, data freshness, volume, and anomaly detection through unsupervised learning models. Easily integratable into data platforms and modern data warehouses, this starter kit ensures a swift time-to-market for monitoring data quality across all data types.
Tags
You might also like
The Temporal Agentic AI Platform enables your enterprise to rapidly design, deploy, and manage thousands of AI agents at scale. The platform delivers robust security, cost control, and observability while orchestrating agentic workflows, with seamless integration across existing systems such as Sal...
The software development life cycle (SDLC) doesn't always go exactly to plan. It often involves shifting priorities, unexpected setbacks, and a steady stream of complex software development analytics to make sense of. The SDLC Control Tower is designed to bring clarity to this complexity, offer...
Experience the future of software development with Creative Canvas, where human engineers orchestrate a team of specialized AI agents to build sophisticated applications at unprecedented speed. Watch as our demo showcases the development of a Customer Data Platform (CDP) through seamless collaborat...
Experience how the developer portal streamlines your entire software development lifecycle through a unified, self-service platform. Watch as we demonstrate portfolio management, environment control, release automation, and BlindSpot detection features that help development teams focus on innovatio...
Experience the power of Semantic Layer in modernizing enterprise data management. This demo showcases how to unify diverse data sources, streamline access, and connect reporting tools seamlessly. Watch as we transform complex architectures into accessible information hubs using Cube, Snowflake, and...
Optimize cloud management by leveraging AI to interpret natural language queries, providing immediate and insightful responses to complex metrics. This capability simplifies the analysis and troubleshooting of cloud environments by transforming intricate data into easily understandable insights. As...
Harness the power of advanced planning and reasoning capabilities provided by large language models (LLMs) to produce comprehensive, end-to-end test scenarios. This includes the generation of unit tests, integration tests, and performance tests, all within a highly customizable workflow framework....