Data Subject Request API Version 1 and 2
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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
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
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Create an Input
Start capturing data
Connect an Event Output
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Connect an Audience Output
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Calculated Attributes Reference
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What are predictive attributes?
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Introduction
Introduction
Introduction
Rudderstack
Google Tag Manager
Segment
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AWS Kinesis (Snowplow)
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BigQuery (Snowplow Schema)
BigQuery Firebase Schema
BigQuery (Define Your Own Schema)
GCP BigQuery Export
Snowflake (Snowplow Schema)
Snowplow Schema Overview
Snowflake (Define Your Own Schema)
Aliasing
The Event Forwarding page provides information on your app’s incoming event data and the data that is forwarded to enabled output event services.
To access the Event Forwarding page, navigate to Data Platform > Event Forwarding using the left nav.
This is where you can verify how much data mParticle captured per event, and how much data was forwarded. If multiple configurations are enabled for an integration, the data sent to each configuration will be shown separately. We recommend checking this report if you notice any discrepancies in your vendor dashboards.
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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