This document has described the connection between Dell Data Lakehouse and Alation Data Intelligence Platform. This topic discusses various use cases.
To obtain meaning from the data, the first step is to extract metadata for various data catalogs configured in the Dell Data Lakehouse. As shown in Alation metadata extraction, the Metadata Extraction tab provides a convenient way of pulling metadata for all datasets that are managed with Dell Data Lakehouse.
The Alation Data Intelligence Platform provides on-demand metadata extraction and can also configure periodic extractions which keep the catalogs updated, since data tends to grow with time.
After the completion of metadata extraction, data discovery and cataloging assets become visible in the Alation UI.
Also, Alation provides AI-based capabilities which help suggest the right data stewards for datasets, and suggests descriptions and metadata to data assets.
You can use Alation's data discovery functionalities to automatically organize data assets. You can enhance data comprehension by incorporating supplementary metadata, including descriptions and business glossary terms.
Metadata plays a crucial role in facilitating search and discovery processes, allowing users to locate particular datasets through keyword or attribute searches. Metadata assists users in efficiently finding particular datasets, which decreases the volume of service inquiries and enhances the overall visibility of data.
Your organization must have a centralized source of data that guarantees the accuracy and timeliness of information so that you can make well-informed business decisions.