Utilizing tools like RecordCaptor, as well as adhering to isolation principles and clear separation of test stages, ensures high accuracy and efficiency.
Explore key strategies for effective data management in AI projects, including real-time access, federated queries, and data literacy for developers and engineers.
Learn more about CEP, how it addresses a key challenge in real-time processing by detecting patterns in data streams, and compare FlinkCEP and RisingWave.
Learn about context-specific real-time Generative AI (GenAI) with Retrieval Augmentation Generation (RAG) using Kafka and Flink to prevent hallucinations.
This article will identify key challenges organizations face today in managing data platforms, and explore how advanced ETL tools can address these challenges.
Explore principles of modern data infrastructure such as scalability, high availability, speed, security, maintainability, efficiency, and developer experience.
In this article, learn about an experience in keeping two different databases aligned with two different technologies by using an application-level solution.
Explores trends and efforts to provide an open standard with OpenLineage, and how data governance solutions help fulfill enterprise-wide data governance needs.
The Confusion Matrix and the ROC Curve evaluate model performance in machine learning and data science. Compare and learn when to use each in model evaluation.
Before our AI meal planner is complete, one crucial step remains: a taste test. This is where a robust evaluation framework becomes your most valuable tool.
Are you doing enough to ensure data security while adhering to data hygiene best practices? Here, learn Salesforce data management and security best practices.
Explore High Fidelity (HiFi) Data features such as visual, population, statistical, and ownership integrity, and its use to balance privacy and usability.