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Start by logging into your GoCardless account. Navigate to the section where your data is stored, such as transactions or customer details. Use the built-in export feature to download the data as a CSV file. This format is widely supported and will be crucial for the next steps.
Once you have the CSV file, open it using a spreadsheet application like Microsoft Excel or Google Sheets. Review the data to ensure that it is complete and correctly formatted. Look for any discrepancies or missing data that need to be addressed before proceeding.
Clean the data by removing any unnecessary columns or rows and standardizing formats (e.g., date formats, currency symbols). Ensure that all fields are consistent and ready for import into Starburst Galaxy. Save the cleaned data in a compatible format like CSV or JSON, depending on the requirements of your Starburst setup.
Access your Starburst Galaxy environment. If you haven't already, create a new schema or table structure that matches the cleaned data you intend to import. Ensure that the column names, data types, and constraints align with your cleaned dataset.
Use Starburst Galaxy's query editor to write an SQL `COPY` or `INSERT` statement that will import the cleaned data from your local machine to the database. If your Starburst Galaxy setup allows for file uploads, you can use these features to directly upload the CSV. Otherwise, consider using command-line tools like `curl` or `wget` if applicable.
After loading the data, run queries in Starburst Galaxy to verify that all records have been imported correctly. Check for discrepancies by comparing the number of rows and key data points between the original GoCardless CSV and the new entries in Starburst Galaxy.
If ongoing data sync is required, set a reminder or schedule a manual process to regularly extract, clean, and load new data following the steps above. While this process is manual, consistent scheduling ensures that your Starburst Galaxy environment remains up-to-date with GoCardless data. Consider documenting the process for consistency and efficiency.
By following these steps, you can effectively move data from GoCardless to Starburst Galaxy without relying on third-party connectors or integrations.
FAQs
What is ETL?
ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.
Gocardless is an online tool that collects direct bank payments on behalf of other businesses and It was founded in January 2011. GoCardless is an online Direct Debit supplier with a secure set-up process that permits the customer to pay both easily and safely. We ask all our customers to sign up to gain a streamlined payment procedure whereby the amount is automatically debited from the account provided every month. GoCardless is aims at becoming the world's bank payment network.
GoCardless's API provides access to a wide range of data related to payments and customers. The following are the categories of data that can be accessed through the API:
1. Payment data: This includes information about payments made by customers, such as the amount, currency, status, and date of payment.
2. Customer data: This includes information about customers, such as their name, email address, phone number, and billing address.
3. Subscription data: This includes information about subscriptions, such as the amount, frequency, and start and end dates.
4. Mandate data: This includes information about mandates, which are the authorizations given by customers to allow GoCardless to collect payments from their bank accounts.
5. Bank account data: This includes information about the bank accounts used by customers to make payments, such as the account number, sort code, and bank name.
6. Refund data: This includes information about refunds issued to customers, such as the amount, currency, and date of refund.
7. Dispute data: This includes information about disputes raised by customers, such as the reason for the dispute and the status of the dispute resolution process.
Overall, GoCardless's API provides comprehensive access to data related to payments and customers, enabling businesses to manage their payment processes more efficiently and effectively.
What is ELT?
ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.
Difference between ETL and ELT?
ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.
What should you do next?
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