This image represents the documented relationships that exist within a schema.The circular structures denote the tables.For each table,the number of records and columns are displayed. The larger the number of records, the larger are the circles.
This image shows the full path of all the scanned PDF files graphically.
This image shows the full path of scanned unstructured files graphically in a complex enterprise data landscape.
This image shows the full path of scanned unstructured files graphically in a complex enterprise data landscape.This image is similar to the previous one with a different graphics.
This image represents a different visualization of the documented relationships that exist in a schema.The circles denote the tables.For each table,the number of records and columns are shown. The greater the number of records, the larger are the circles.
This image represents a different visualization of the relationships that exist between tables in a schema.The circles denote the tables.For each table,the number of records and columns are shown.The greater the number of records,the larger are the circles.
This image shows a comprehensive graphical view of the entire data landscape right from the systems to the database instances and the schemas in them.
Data Discovery Features
Data Discovery provides the ability to automatically scan and identify information assets within an organization. The DPS Product Suite offers the following list of features to aid the Data Discovery Process| # | Requirement | Available | Comments |
| 1 | Create a Metadata Repository without significant manual involvement | Yes | |
| 2 | Scan all structured databases of interest | Yes | See database types supported |
| 3 | Scan all unstructured data of interest | Yes | See content formats supported |
| 4 | Scan all semi-structured data | No | In development (beta). See supported formats |
| 5 | Provide web access to metadata repository | Yes | |
| 6 | Profile the structured data | Yes | 10 types of profiling is supported. See details |
| 7 | Automatically detect data quality problems in structured data | Yes | |
| 8 | Create a data dictionary and glossary for critical business data | Yes | Requires some degree of manual input |
| 9 | Continuously monitor the metadata environment for changes | Yes | |
| 10 | Create metadata reports and profile reports on demand | Yes |
Based on customer requests, the Global IDs Product Roadmap also includes some new features that have been listed below
- It can accomplish the above tasks, with a minimum of manual involvement
- It can scale to extremely complex environments (enterprise or global levels)
- It can meet these requirements in systematic and repeatable ways
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