Data Subject Request API Version 1 and 2
Data Subject Request API Version 3
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Getting Started
Identity
Alexa
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 9. Test your local app
Overview
Step 1. Create an input
Step 2. Verify your input
Step 3. Set up your output
Step 4. Create a connection
Step 5. Verify your connection
Step 6. Track events
Step 7. Track user data
Step 8. Create a data plan
Step 1. Create an input
Step 2. Create an output
Step 3. Verify output
Introduction
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Start capturing data
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Apply All for Filter Where Clauses
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Introduction
Introduction
Introduction
Rudderstack
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GCP BigQuery Export
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Snowplow Schema Overview
Snowflake (Define Your Own Schema)
Aliasing
The Event Forwarding page provides an overview of how much data is ingested by your inputs and how much is forwarded to your connected output integrations.
To access the Event Forwarding page, navigate to Data Platform > Event Forwarding using the left nav.
You can use the Event Forwarding page to review how much data mParticle captures per event, and how much data mParticle attempts to forward for each enabled output configuration. The statistics shown on the Event Forwarding page are created before forwarding is complete, so if an output encounters any errors you may notice differences between the number of expected forwarded events shown on Event Forwarding page and the number of events in your output. To track data forwarding errors, refer to System Alerts.
The report displays a daily summary of events, plus counts for each message type and event name, along with the inbound and outbound counts for each enabled service. By default a summary of data for a full day is shown, but you can also select a specific hour to display hourly data.
You may notice differences between an inbound data count and an outbound data count. There are several reasons these differences may occur. Here are some good questions to start with:
Four events, called commerce events, capture information about financial transactions: product commerce events, purchase or refund commerce events, promotion commerce events, and impression commerce events.
Commerce events behave differently from other events:
logCommerceEvent
, then the event is expanded to ensure that no data is lost.logCommerceEvent
, then no expansion is needed, and no data is lost.In addition, the expansion behavior is different depending on the commerce event type:
For more details, see the iOS SDK or Android SDK documentation.
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