SnapLogic - Integration Nation

Resolved! API without parameters returns empty JSON

I have a triggered task that pulls data from a database and formats the JSON to be returned by an http request.I added a parameter called 'dataset_name' so users making an api call can select just one record from the database: I pass the value '_data...

Renaming multiple items in an array

I have a question regarding renaming multiple items within an array. Currently, I'm using the following mapping to rename one item: ```map(x => x.mapKeys((value, key) => key.contains('Memo') ? "description" : key))``` However, I'm encountering diffic...

Passing Cdata to xml

Ho wcan I pass CDATA to SOAP execute

Platform Memory Alerts & Priority Notifications for Resource Failures

This is more about platform memory alerts. From my understanding, we have alert metrics in place that trigger an email if any of the nodes hit the specified threshold in the manager.However, I am looking at a specific use case. Consider an Ultra Pipe...

Pipeline Execute snap - An in-depth look

Pipeline Execute snap This snap is one of the most powerful tools in the SnapLogic platform. This snap allows you to call another pipeline from the current one. This can allow you to modularize code for specific functions, making your pipelines sim...

Join our Webinar: AI Agents in Action: The Secrets Behind DCU’s Agentic Fraud Detection

Register>> Organizations today are embracing AI agents to automate business processes, increase productivity, and create new revenue streams. Digital Federal Credit Union (DCU) is leading the way, leveraging SnapLogic and AgentCreator to build a ro...

Best Practices for Adopting AI Solutions in the Enterprise with SnapLogic AgentCreator

Best Practices for Adopting AI Solutions in the Enterprise with SnapLogic AgentCreator Version: 1.2 Authors: Dominic Wellington, Guy Murphy, Pat Traynor, Bash Badawi, Ram Bysani, David Dellsperger, Aaron Kesler Introduction: AI in the Modern Enterp...

Resolved! Best Approach for Handling CSV Import with Truncate in Pipeline: Ensuring Correct Execution Order

I want to ask:I’m attaching a screenshot of the pipeline that should:Read a CSV file, truncate SQL tables, and after the successful truncate, insert all the records from the CSV into the truncated table.It seems that the pipeline doesn't work correct...