28 docs tagged with "automation"

Build aggregation pipelines on any platform service, save them as ODSL scripts, schedule them as stored, house-style reports with emails, and run them from ODSL, curl, Python or JavaScript

Automation Introduction

The basics of event-driven programming in OpenDataDSL

REST API for the automation log service

REST API for the automation service

REST API for the automation target service

Overview of all available automation targets in OpenDataDSL

Send automation data to Azure Blob Storage or Azure Data Lake Storage using the built-in blob targets

Store a composition for a range of ondates, publish a column as a composed curve, link compositions, and build them automatically when their data changes

How to create automations in OpenDataDSL using ODSL or the REST API

How to create a Fusion AI playbook, from a description, from the library, from an example or by hand

Fusion AI can create Smart Curves directly on the platform on your behalf — no ODSL scripting required. You describe the curve you need in plain language, Fusion AI confirms the details, and then creates it for you using its built-in Smart Curve tool.

Trigger Smart Curve and Event Curve builds automatically using automation targets

Trigger curve export groups automatically for a single curve or an entire group

Create pre-configured automation targets that simplify setup for your team

Automatically trigger dataset quality and critical checks using automation targets

Send automated email notifications and data attachments using the built-in email automation target

Automatically create JIRA tasks from OpenDataDSL automation events

Send automated messages to Microsoft Teams channels using the built-in Teams automation target

Trigger an OpenDataDSL process to run automatically in response to a platform event

Send triggered data to a message queue for downstream consumers to process

Automatically run reports in response to platform events using the built-in report automation target

Filling in and running playbook tasks, background runs, schedules, approvals, resuming runs and monitoring

Smart Curves are automatically rebuilt and cached by the platform based on a cache configuration set on the curve itself. This controls when the platform calculates and stores a new version of the curve — from never caching at all, through to rebuilding whenever dependencies are updated or on a fixed schedule.

Run an ODSL script automatically in response to a platform event

Trigger a Smart TimeSeries build automatically in response to data changes

Send automation data to any external system via a webhook

An introduction to Fusion AI Playbooks, repeatable AI workflows that run the same way every time