Validating Batch Loads

Validating batch loads is essential for maintaining data integrity and accuracy throughout the loading process. You are responsible for loading batches of data into your system to ensure data integrity and accuracy. Validating these batches is key and means checking that the data meets expected formats, follows standards, and aligns with business rules. But it doesn’t stop there—you also need to handle any errors, anomalies, or missing values that crop up.

Techniques such as data profiling and cleansing come into play, alongside defining validation rules. It is also crucial to keep a close eye on everything through logging and monitoring. Validating your batches thoroughly ensures smooth operations for reliable analytics and reporting downstream.

Note

This section primarily focuses on the Validate batch loads concept of the DP-203: Data Engineering on Microsoft Azure exam.

ADF provides functionalities for validating the outcome of jobs...