Data Validation in Azure Data Factory/ Synapse Analytics

Introduction:
In today’s data-driven world, organizations rely on accurate and reliable data to make informed decisions. However, data quality can be a significant challenge, as it often comes from various sources with different formats, structures, and levels of consistency. Azure Data Factory, a powerful cloud-based data integration service from Microsoft, provides robust capabilities for data validation, enabling organizations to ensure data accuracy, integrity, and compliance throughout their data pipelines.

Why Validation is Important?

1. Ensures data accuracy and integrity.
2. Prevents data quality issues from propagating.
3. Helps organizations comply with regulatory requirements.
4. Enhances decision-making by providing reliable data.
5. Improves data integration and quality assurance processes.

Pre-Requisites:

• You need to have an Azure account either free or pay-as-you-go.
• Azure Storage Account
• Azure Data Factory / Azure Synapse Analytics workspace.

Dataset:

In this example, am using the top 1000 movies in the IMDb dataset from Kaggle.

The dataset is already cleaned, have experience in working with the raw data earlier, am going to define some rules to validate the data. I am using the static…