|Data lineage is the process of tracking the origin, movement, and transformation of data from its source to its destination. It is important for building data products because it helps ensure the accuracy, reliability, and consistency of the data. By understanding the lineage of data, data scientists and analysts can identify potential errors, inconsistencies, and biases in the data, and take steps to correct them. This can help improve the quality of the data and the insights derived from it.
|Laws Mandating Data Lineage
|There are several laws and regulations that mandate data lineage, including the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). These laws require organizations to provide individuals with information about how their personal data is collected, processed, and shared. Data lineage can help organizations comply with these laws by providing a clear and transparent record of how personal data is used throughout the organization.
From the Slides blog
Tame the Generative Beast: Conquer cutting-edge models, demystify real-world applications, and optimize workflows. AI fluency guaranteed. Beyond Hype, Into Hands-On: Architect your own GenAI marvels. Deep dive into foundations, dissect use cases, and master best practices. Unleash the Black Box: Unpack the power of GenAI models, dissect ethical dilemmas, and unlock hidden creative potential. Expert-level mastery awaits.
Future-proof interfaces: Build unified web-chatbot experiences that anticipate user needs and offer effortless task completion.