How to load data from Amazon Ads to Firebolt

Learn how to use Airbyte to synchronize your Amazon Ads data into Firebolt within minutes.

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Start syncing with Airbyte in 3 easy steps within 10 minutes

Set up a Amazon Ads connector in Airbyte

Connect to or one of 400+ pre-built or 10,000+ custom connectors through simple account authentication.

Set up Firebolt for your extracted Amazon Ads data

Select where you want to import data from your source to. You can also choose other cloud data warehouses, databases, data lakes, vector databases, or any other supported Airbyte destinations.

Configure the Amazon Ads to Firebolt in Airbyte

This includes selecting the data you want to extract - streams and columns -, the sync frequency, where in the destination you want that data to be loaded.

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How to Sync to Manually

Step 1: Access Amazon Ads API

To begin, you need to access Amazon Ads data through their API. Ensure you have the necessary permissions and API credentials (access key, secret key, and developer token) to authenticate your requests. Use the API to programmatically request the data you want to extract.

Step 2: Extract Data from Amazon Ads

Use scripting or programming languages like Python, Java, or Node.js to send HTTP requests to Amazon Ads API endpoints. Extract the data you need, such as campaign performance metrics, and store it in a structured format such as CSV or JSON. Ensure you handle pagination if the data set is large.

Step 3: Transform Extracted Data

Once you have the raw data, perform any necessary transformations. This might include cleaning the data, filtering unnecessary fields, converting data types, and aggregating or summarizing data as needed. Use data manipulation libraries like Pandas in Python to streamline this process.

Step 4: Prepare Data for Firebolt

Firebolt requires data to be in a specific format for optimal ingestion. Convert your transformed data into a format such as Parquet or CSV, which Firebolt supports. Ensure your data schema matches the schema you have defined in your Firebolt tables to avoid ingestion errors.

Step 5: Set Up Firebolt Environment

Before loading data, set up your Firebolt environment if you haven’t already. This includes creating a database and the necessary tables where your data will reside. Define the schema and data types to match those of your prepared data to ensure compatibility.

Step 6: Upload Data to Firebolt

Use Firebolt’s Bulk Insert functionality to load your data. You can do this by uploading your data file to a cloud storage service like Amazon S3 (since direct file uploads are not supported) and then using Firebolt’s COPY INTO command to load data from the cloud storage into your Firebolt tables. Ensure you have configured your Firebolt account to access the cloud storage.

Step 7: Verify Data Integrity and Performance

After loading, perform checks to verify data integrity. Run queries to confirm that the data in Firebolt matches the original data from Amazon Ads. Additionally, take advantage of Firebolt’s performance optimization features by creating indexes and partitions to improve query performance and ensure efficient data retrieval.

By following these steps, you can successfully transfer data from Amazon Ads to Firebolt without relying on third-party connectors or integrations.