Data Catalog gives a secure point of control for your data. With robust tools for search and discovery, and connectors to extract information from virtually any data source, Data Catalog makes it easy to protect your data, govern your analytics, manage data pipelines, and accelerate your ETL processes.
Once data sources — whether they reside on on-premises, cloud, or hybrid environments — are connected, the engine automatically profiles and tags data assets, maps relationships, and finds data similarities.Read More
Finding data should be as easy as looking up things on the internet. Andvanced search engine enables data users to quickly find the data they need and understand it with a data dictionary and business glossaries.Read More
Personally identifiable information (PII) is automatically detected at a row and column level, and access to it is controlled with role-based permissions, staying compliant with internal policies and industry regulations.Read More
Data preparation is the process of cleaning and transforming raw data prior to processing and analysis. It is an important step prior to processing and often involves reformatting data, making corrections to data, and combining datasets to enrich data.
Data preparation helps catch errors before processing. After data has been removed from its original source, these errors become more difficult to understand and correct.Read More
Cleaning and reformatting datasets ensures that all data used in analysis will be of high quality.Read More
Higher-quality data that can be processed and analyzed more quickly and efficiently leads to more timely, efficient, better-quality business decisions.Read More