App & Event

The App & Event pipeline can be used to request and retrieve details about the App KPIs & Event KPIs, typically involving metrics such as clicks, sessions, installs, etc.

Configuring the Credentials

Select the account credentials which has access to relevant Adjust data from the dropdown menu & Click Next

Credentials not listed in dropdown ?: Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline: Select App & Event from the dropdown

Metrics: Select one or more metrics from the drop-down. Metrics specifies the comma-separated list of requested metrics that may vary for each of the resources.

While you can add multiple metrics here, the table size may become too large and so it is advisable to add one or few metrics per pipeline and use Union queries in the data warehouse to join the data for consumption.

Setting Parameters

Parameter Description Values

Parameter	Description	Values
App ID	*Optional* Enter the App ID.	Number *Default Value:* None
Do you want to include events?	*Optional* Select accordingly if you want to include events or not.	{No, Include all events, Enter events manually} *Default Value:* No
Enter Events	*Required, if you want to include events manually* Enter events you wish to include in each run.	String *Default Value:* None
Grouping	*Required* Grouping specifies a grouping for the dataset. The resulting data will be nested in the exact order as specified. Select the option according to which you want the data to be grouped by in each run. Recommended to use one grouping per report.	{Trackers, Networks, Campaigns, Adgroups, Creatives, Hours, Days, Week, Month, Countries, Region, Device Types, OS Names, Partners, Apps}
Timezone	*Required* Select the UTC offset for timezones.	{Offset in Hours and Minutes} *Default Value:* Delete
Human Readable KPIs	*Required* Select if the KPIs are human readable or not. TRUE translates the resulting KPIs, period, etc. headlines into appropriately formatted English facilitating sharing results from the CSV API calls as reports, without having to rename columns or headlines.	{True, False} *Default Value:* False
No of Days	*Required* Enter the number of days for which you wish to get the data in each run.	Integer value (Recommended value 30)
Insert Mode	*Required* This refers to the manner in which data will get updated in the data warehouse, with 'Upsert' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.	`Upsert`, `Append`, `Replace` *Default Value:* UPSERT

App ID

Optional

Enter the App ID.

Number

Default Value: None

Do you want to include events?

Optional

Select accordingly if you want to include events or not.

{No, Include all events, Enter events manually}

Default Value: No

Enter Events

Required, if you want to include events manually

Enter events you wish to include in each run.

String

Default Value: None

Grouping

Required

Grouping specifies a grouping for the dataset. The resulting data will be nested in the exact order as specified. Select the option according to which you want the data to be grouped by in each run. Recommended to use one grouping per report.

{Trackers, Networks, Campaigns, Adgroups, Creatives, Hours, Days, Week, Month, Countries, Region, Device Types, OS Names, Partners, Apps}

Timezone

Required

Select the UTC offset for timezones.

{Offset in Hours and Minutes}

Default Value: Delete

Human Readable KPIs

Required

Select if the KPIs are human readable or not. TRUE translates the resulting KPIs, period, etc. headlines into appropriately formatted English facilitating sharing results from the CSV API calls as reports, without having to rename columns or headlines.

{True, False}

Default Value: False

No of Days

Required

Enter the number of days for which you wish to get the data in each run.

Integer value (Recommended value 30)

Insert Mode

Required

This refers to the manner in which data will get updated in the data warehouse, with 'Upsert' selected, the data will be upserted (only new records or records with changes) and with 'Append' selected, all data fetched will be inserted. Selecting 'Replace' will ensure the table is dropped and recreated with fresh data on each run. Recommended to use "Upsert" option unless there is a specific requirement.

Upsert, Append, Replace

Default Value: UPSERT

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run: If scheduling is not required, you can use the toggle to run the pipeline manually.
Normal Scheduling: Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.
Advance Scheduling: Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name: Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.
Dataset Description: Enter a short description (optional) describing the dataset being fetched by this particular pipeline.
Notifications: Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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