Hi everyone 👋
Any Snowflake users amongst us? 👀
We have some exciting news to share - Snowflake’s AI Data Cloud now features a native data quality solution, brought to you by Ataccama with zero cost.
With this new App you can leverage data validation to elevate the data quality capabilities of Snowflake, enabling you to maintain high data standards effortlessly within your existing workflows.
Let’s get into the details 👇
One of the common issues data engineers face today is not being able to validate the quality of the data stored in the Snowflake. While it’s possible to do some basic analysis using SQL this isn’t always sufficient enough when there is a need to validate a phone number, or if a physical address is existing, or email has valid syntax. So this is when we enter - Ataccama DQ here.
How it works?
The App has a predefined set of 50+ DQ rules available for you out of the box that you can use while writing SQL code in Snowflake. The DQ scores will be a part of the output of the SQL statement and support your organization to validate the quality of contact and personal information easily. With the DQ Snowflake native App you can:
- Increase data trust: Ensure your data is accurate, secure, and fully governed, empowering teams to make decisions with confidence.
- Data quality and cleansing: Automatically detect, cleanse, and enrich your data, so you always work with trusted, high-quality information.
- Operational reporting: Deliver real-time, reliable insights for daily operations with a platform built for seamless data access and reporting.
https://youtu.be/EWYQ3RBxEKc
For example, you can validate country codes as below or records with valid email addresses, and use the valid records for your own use cases.
Needless to say, this is just the beginning! Keep an eye out here for more updates, tips, and share your feedback with the team in the comments 👇
