generated from ydataai/opensource-template
-
Notifications
You must be signed in to change notification settings - Fork 4
Commit
This commit does not belong to any branch on this repository, and may belong to a fork outside of the repository.
- Loading branch information
1 parent
56f92f4
commit 0cf5fdb
Showing
2 changed files
with
17 additions
and
0 deletions.
There are no files selected for viewing
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Original file line number | Diff line number | Diff line change |
---|---|---|
@@ -0,0 +1,16 @@ | ||
# Fabric's Data Catalog | ||
|
||
Fabric’s Catalog is a project-based data repository that enables data scientists to discover, understand, and access relevant datasets. It provides a **comprehensive inventory of available Connectors and Data Sources**, along with **descriptive metadata** that allows data scientists to swiftly and efficiently locate and evaluate existing data sources, assess their quality, and gain insights into the data's structure and content. | ||
|
||
<p align="center"><iframe width="600" height="400" src="https://www.youtube.com/embed/3JyuJlQLM4Q" title="Data profiling in a single click" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" allowfullscreen></iframe></p> | ||
|
||
The Data Catalog facilitates data exploration, promotes data reuse, and accelerates the overall data science workflow, including the following benefits: | ||
|
||
- Easy data ingestion supporting various types of storage from RDBMs to Cloud Object Storage; | ||
- A curated and discoverable list of datasets per project; | ||
- An overview and detailed metadata of your datasets; | ||
- Extensive data profiling for thorough and standardized data quality assessment. | ||
|
||
|
||
!!! question "Looking for a full Data Understanding experience?" | ||
Enable a seamless data exploration of your organization's data assets with [Fabric Data Catalog](https://ydata.ai/products/data_catalog), which allows consuming data from RDBMs (Azure SQL, PostGreSQL, Oracle) and object storages (Google Cloud Storage, AWS S3, Snowflake), and interactive profiling of large volumes of data. |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters