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Amplitude Extract
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Contents

Amplitude Extract

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This article is specific to the following platforms - Snowflake - Redshift - BigQuery.

Amplitude Extract

The Amplitude Extract component calls the Amplitude API to retrieve and store data to be either referenced by an external table or loaded into a table, depending on the user's cloud data warehouse. Users can then transform their data with the Matillion ETL library of transformation components.

Using this component may return structured data that requires flattening. For help with flattening such data, we recommend using the Nested Data Load Component for Amazon Redshift and the Extract Nested Data Component for Snowflake or Google BigQuery.


Properties

Snowflake Properties
Property Setting Description
Name String A human-readable name for the component.
Data Source Select Please select an Amplitude data source. Available options are "Event Types" and "Events".
API Key String Please provide your Amplitude API Key.
For help acquiring your Amplitude API Key, please read our Amplitude Authentication Guide.
Secret Key String Please provide your Amplitude Secret Key. Secret Keys can be stored inside the component; however, it is highly recommended to use the Password Manager feature instead.
For help acquiring your Amplitude Secret Key, please read our Amplitude Authentication Guide.
Start time Datetime String Please designate a start time. The format, without whitespaces, is YYYYMMDDT00
T00, T01, T02...T23 indicate the hour (there is no T24). Please select only one hour.
Note: This parameter is only available when the Data Source parameter is set to "Events".
End time Datetime String Please designate an end time. The format, without whitespaces, is YYYYMMDDT00
T00, T01, T02...T23 indicate the hour (there is no T24). Please select only one hour.
Note: This parameter is only available when the Data Source parameter is set to "Events".
Location Storage Location Provide an S3 bucket path, GCS bucket path, or Azure Blob Storage path that will be used to store the data. Once on an S3 bucket, GCS bucket or Azure Blob, the data can be referenced by an external table. A folder will be created at this location with the same name as the Target Table.
Integration Select (GCP only) Choose your Google Cloud Storage Integration. Integrations are required to permit Snowflake to read data from and write to a Google Cloud Storage bucket. Integrations must be set up in advance of selecting them in Matillion ETL. To learn more about setting up a storage integration, read our Storage Integration Setup Guide.
Warehouse Select Choose a Snowflake warehouse that will run the load.
Database Select Choose a database to create the new table in.
Schema Select Select the table schema. The special value, [Environment Default], will use the schema defined in the environment. For more information on using multiple schemas, please refer to this article.
Target Table String Provide a new table name.
Warning: Upon running the job, this table will be recreated and will drop any existing table of the same name.

Redshift Properties
Property Setting Description
Name String A human-readable name for the component.
Data Source Select Please select an Amplitude data source. Available options are "Event Types" and "Events".
API Key String Please provide your Amplitude API Key.
For help acquiring your Amplitude API Key, please read our Amplitude Authentication Guide.
Secret Key String Please provide your Amplitude Secret Key. Secret Keys can be stored inside the component; however, it is highly recommended to use the Password Manager feature instead.
For help acquiring your Amplitude Secret Key, please read our Amplitude Authentication Guide.
Start time Datetime String Please designate a start time. The format, without whitespaces, is YYYYMMDDT00
T00, T01, T02...T23 indicate the hour (there is no T24). Please select only one hour.
Note: This parameter is only available when the Data Source parameter is set to "Events".
End time Datetime String Please designate an end time. The format, without whitespaces, is YYYYMMDDT00
T00, T01, T02...T23 indicate the hour (there is no T24). Please select only one hour.
Note: This parameter is only available when the Data Source parameter is set to "Events".
Location Storage Location Provide an S3 Bucket path that will be used to store the data. Once on an S3 bucket, the data can be referenced by an external table. A folder will be created at this location with the same name as the target table.
Type Dropdown Select between a standard table and an external table.
Standard Schema Dropdown Select the Redshift schema. The special value, [Environment Default], will use the schema defined in the Matillion ETL environment.
External Schema Select Select the table's external schema. To learn more about external schemas, please read our support documentation target="_blank">Getting Started With Amazon Redshift Spectrum.
Target Table String Provide a name for the external table to be used.
Warning: Upon running the job, this table will be recreated and will drop any existing table of the same name.

BigQuery Properties
Property Setting Description
Name String A human-readable name for the component.
Data Source Select Please select an Amplitude data source. Available options are "Event Types" and "Events".
API Key String Please provide your Amplitude API Key.
For help acquiring your Amplitude API Key, please read our Amplitude Authentication Guide.
Secret Key String Please provide your Amplitude Secret Key. Secret Keys can be stored inside the component; however, it is highly recommended to use the Password Manager feature instead.
For help acquiring your Amplitude Secret Key, please read our Amplitude Authentication Guide.
Start time Datetime String Please designate a start time. The format, without whitespaces, is YYYYMMDDT00
T00, T01, T02...T23 indicate the hour (there is no T24). Please select only one hour.
Note: This parameter is only available when the Data Source parameter is set to "Events".
End time Datetime String Please designate an end time. The format, without whitespaces, is YYYYMMDDT00
T00, T01, T02...T23 indicate the hour (there is no T24). Please select only one hour.
Note: This parameter is only available when the Data Source parameter is set to "Events".
Table Type Select Select whether the table is Native (by default in BigQuery) or an external table.
Project Select Select the Google Bigquery project. The special value, [Environment Default], will use the project defined in the environment.
For more information, refer to the BigQuery documentation.
Dataset Select Select the Google Bigquery dataset to load data into. The special value, [Environment Default], will use the dataset defined in the environment.
For more information, refer to the BigQuery documentation.
Target Table String A name for the table.
Warning: This table will be recreated and will drop any existing table of the same name.
Only available when the table type is Native.
New Target Table String A name for the new external table.
Only available when the table type is External.
Cloud Storage Staging Area Cloud Storage Bucket Specify the target Google Cloud Storage bucket to be used for staging the queried data. Users can either:
  1. Input the URL string of the Cloud Storage bucket following the template provided: gs://<bucket>/<path>
  2. Navigate through the file structure to select the target bucket.

Only available when the table type is External.
Location Cloud Storage Bucket Specify the target Google Cloud Storage bucket to be used for staging the queried data. Users can either:
  1. Input the URL string of the Cloud Storage bucket following the template provided: gs://<bucket>/<path>
  2. Navigate through the file structure to select the target bucket.
Only available when the table type is Native.
Load Options Multiple Select Clean Cloud Storage Files: Destroy staged files on Cloud Storage after loading data. Default is On.
Cloud Storage File Prefix: Give staged file names a prefix of your choice. The default setting is an empty field.
Recreate Target Table: Choose whether the component recreates its target table before the data load. If Off, the component will use an existing table or create one if it does not exist. Default is On.
Use Grid Variable: Check this checkbox to use a grid variable. This box is unchecked by default.
What's Next

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