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Begin by logging into your Chargebee account. Navigate to the relevant section such as 'Subscriptions', 'Customers', or any other data category you wish to export. Use the 'Export' function available in Chargebee to download the data in a CSV format. Ensure that you have all necessary columns and data fields included in your export.
Once exported, open the CSV file(s) and review the data to ensure there are no errors or discrepancies. Clean the data by checking for missing values, correcting any inconsistencies, and ensuring the data types match the schema you plan to use in Starburst Galaxy. Save the cleaned file.
Access your Starburst Galaxy account and set up a new catalog if necessary. Ensure you have the necessary permissions to create and manage schemas and tables. Familiarize yourself with the data types and structures that Starburst Galaxy supports to align with your CSV data.
Within Starburst Galaxy, use SQL commands to create a new schema that will accommodate your Chargebee data. Define the schema based on the structure of your CSV files, specifying the tables, columns, and their respective data types.
Use the Starburst Galaxy interface or a command-line tool to upload your CSV file to the platform. If using the command line, you might use a tool like `curl` or `wget` to transfer the file to a designated storage location accessible by Starburst Galaxy, such as S3 or local storage.
Once the CSV file is accessible to Starburst Galaxy, execute SQL `COPY` or `INSERT` commands to load the data into the tables defined in your schema. Ensure the data mapping aligns with your schema to prevent any data type mismatches or loading errors.
After loading the data, perform a series of queries to verify that the data has been correctly imported. Check for correct data types, row counts, and data accuracy by comparing against the original CSV files. Make any necessary adjustments or re-import data if discrepancies are found.
By following these steps, you can manually transfer data from Chargebee 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.
Chargebee offers subscription and recurring billing system for subscription-based SaaS and eCommerce businesses. It is built with a focus on delivering the best experience to provide a seamless and flexible recurring billing experience to customers and manage customer subscriptions. With the subscription businesses expanding worldwide, eachrecurring revenue business needs more options and flexibility to manage varied billing use-cases.
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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