Validate Your Data with an Azure Function and Great Expectations – Get Accurate Results Now!

Validate Data Using an Azure Function and Great Expectations
What Is Great Expectations?
Great Expectations is an open source, data validation and testing framework. It is designed to help data engineers, data analysts, and data scientists to validate, document, and explore their data. It provides a consistent and repeatable set of tools to ensure data quality and reduce the time spent on data validation and testing. Great Expectations provides a framework for data validation and testing which is easy to use and allows users to quickly validate data and create tests for data quality.

Using Azure Functions to Validate Data with Great Expectations
Azure Functions is a serverless compute service that enables users to run code on-demand without having to manage any infrastructure. It enables users to quickly deploy code and run it in a secure environment in the cloud. Azure Functions can be used to validate data with Great Expectations. This can be done by running the Great Expectations validation code in an Azure Function. The Azure Function can be triggered by different events, such as a new data file being uploaded to a storage account, or a new message being sent to an event hub.

Creating an Azure Function to Validate Data with Great Expectations
Creating an Azure Function to validate data with Great Expectations is a simple process. First, create an Azure Function App and select the language for the runtime. Then create a new function and select the language for the function. Choose the appropriate trigger for the function, such as a new file being uploaded to a storage account or a new message being sent to an event hub. Once the function has been created, add the code to the function to validate the data using Great Expectations. Finally, configure the function to be triggered when the appropriate event occurs.

Benefits of Using an Azure Function to Validate Data with Great Expectations
Using an Azure Function to validate data with Great Expectations has several benefits. First, it enables users to quickly and easily deploy validation code and run it in a secure and reliable environment. Secondly, it enables users to quickly validate data and ensure data quality. Finally, it provides a consistent and repeatable set of tools to ensure data quality and reduce the time spent on data validation and testing.

Conclusion
Validating data with Great Expectations is an important part of ensuring data quality. Using Azure Functions to validate data with Great Expectations is an effective and efficient way to ensure data quality. It enables users to quickly and easily deploy code to validate data and run it in a secure and reliable environment. It also provides a consistent and repeatable set of tools to ensure data quality and reduce the time spent on data validation and testing.
References:
Validate data using an Azure Function and Great Expectations
1. Azure Function
2. Great Expectations
3. Data Validation