MS Ai Insider

Mastering Script Activity Output JSON in Azure Data Factory and Synapse Analytics: A Comprehensive Guide

Posted by

ailona

–

February 1, 2024

The Microsoft Community Hub discusses interpreting script activity output json with Azure Data Factory/Synapse analytics. The article emphasizes the importance of understanding the output json of script activity when using multiple queries, to write effective expressions in subsequent activities.Bullet Points:

Decoding Script Activity Output JSON with Azure Data Factory/Synapse Analytics

Script activity in Azure Data Factory/Synapse Analytics is a powerful tool for running queries against various data sources. However, when using multiple queries in script activity, understanding the output JSON is crucial for writing expressions in subsequent activities.

Understanding Pipeline Design

Consider a pipeline design with two select queries in script activity. Each query will generate a resultSet. The challenge lies in interpreting the output JSON of script activity.

What’s New?

Understanding the output JSON of script activity is a new concept that can significantly enhance the efficiency of your data management tasks.

Major Updates

With the ability to interpret the output JSON of script activity, you can now write more accurate expressions based on the output in the subsequent activities.

What’s Important to Know?

Grasping the output JSON of script activity is essential for effectively utilizing Azure Data Factory/Synapse Analytics. This understanding can lead to more efficient data management and analysis.

“Script activity in Azure Data Factory/Synapse Analytics is very helpful to run queries against various data sources.”

“Understanding the output JSON of script activity is crucial for writing expressions in subsequent activities.”

By mastering the interpretation of script activity output JSON, you can leverage Azure Data Factory/Synapse Analytics to its full potential, leading to more efficient and effective data management.

Script activity in Azure Data Factory/Synapse analytics is used to run queries against data sources.

Understanding the output json of script activity is crucial when using two or more queries.

The output json is used to write expressions in subsequent activities.

The article provides a pipeline design example to illustrate the concept.

Two select queries are used in the script activity, each yielding a resultSet.

From the Azure Developer Community Blog