Query

Query report enables a user to transfer data from the Amazon Marketing Cloud into a datawarehouse of your choice with the granularity of a Query result you desire.

Configuring the Credentials

Select the account credentials which has access to relevant Amazon Marketing Cloud 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 Query from the dropdown
SQL Query: Write an SQL Query in the given space.

Setting Parameters

Select the fields that are necessary as per the file or folder .

Parameter Description Values

Parameter	Description	Values
Insert Mode	*Required* Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.	{Upsert, Append, Replace} *Default Value:* UPSERT
Upsert Key	*Dependent* *Required* This refers to the key on which the upsert has to be performed.	'NUMBER'
Time Window Type	*Required* Select the type of time window you want to use to for specifying input data for the workflow execution.	`MOST RECENT DAY`,`MOST RECENT WEEK`,`CURRENT MONTH`,`PREVIOUS MONTH`,`EXPLICIT`,`EXPLICIT (number of days)` *Default Value:* MOST RECENT DAY
Time Window Start	*Dependent* *Required* Specify the start of the time window you want to use to for specifying input data for the workflow execution.	Date
Time Window End	*Dependent* *Required* Specify the end of the time window you want to use to for specifying input data for the workflow execution.	Date
Time Window Timezone	*Dependent* *Required* Specify the timezone of the time window you want to use to for specifying input data for the workflow execution.	Timezone
Ignore Data Gaps	*Required* If you select 'TRUE', the queries will run over data gaps.	`TRUE`,`FALSE` *Default Value:* TRUE

Insert Mode

Required

Specifies the manner in which data will get updated in the data warehouse : UPSERT will insert only new records or records with changes, APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.

{Upsert, Append, Replace}

Default Value: UPSERT

Upsert Key

Dependent Required

This refers to the key on which the upsert has to be performed.

'NUMBER'

Time Window Type

Required

Select the type of time window you want to use to for specifying input data for the workflow execution.

MOST RECENT DAY,MOST RECENT WEEK,CURRENT MONTH,PREVIOUS MONTH,EXPLICIT,EXPLICIT (number of days)

Default Value: MOST RECENT DAY

Time Window Start

Dependent Required

Specify the start of the time window you want to use to for specifying input data for the workflow execution.

Date

Time Window End

Dependent Required

Specify the end of the time window you want to use to for specifying input data for the workflow execution.

Date

Time Window Timezone

Dependent Required

Specify the timezone of the time window you want to use to for specifying input data for the workflow execution.

Timezone

Ignore Data Gaps

Required

If you select 'TRUE', the queries will run over data gaps.

TRUE,FALSE

Default Value: TRUE

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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