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Begin by logging into your Retently account. Navigate to the data export section. Choose the data set you wish to export. Retently typically allows you to export data in formats like CSV or Excel. Ensure you select a format compatible with Starburst Galaxy. Proceed to export the data and save the file to your local system.
After exporting, open the file to verify that the data is complete and correctly formatted. Check for any discrepancies or errors in the data set. Ensure that the data types (numeric, text, date) align with those required by Starburst Galaxy. Make any necessary adjustments or clean up the data to facilitate a smooth import.
Log into your Starburst Galaxy account. If you do not have an account, you will need to create one and set up your workspace. Familiarize yourself with the interface and locate the data import functionalities.
Before importing, create a table in Starburst Galaxy to store the data. Use the SQL editor within Starburst to define the table schema. Ensure the table columns match the data types and structure of your Retently export. This step is crucial for maintaining data integrity during the import process.
Use a secure method to upload the data file from your local system to Starburst Galaxy. This typically involves using the platform's built-in upload features. Navigate to the import section, select your file, and initiate the upload. Ensure the file path and permissions are correctly configured to allow the import.
Once the file is uploaded, use SQL commands within Starburst Galaxy to load the data into your newly created table. This might involve using the `COPY` command or equivalent SQL-based methods provided by Starburst for data ingestion. Monitor the process to ensure all data rows are imported without errors.
After the import is complete, perform a thorough check to ensure the data has been transferred correctly. Compare a sample of records in Starburst Galaxy against the original export from Retently. Verify that all fields are correctly populated and that no data is missing or corrupted. Make any necessary adjustments, and document the process for future reference.
By following these steps, you can manually move data from Retently to Starburst Galaxy without relying on third-party connectors or integrations, ensuring control over the data transfer process.
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.
Retently is a tool for measuring and increasing customer satisfaction and loyalty through Net Promoter Score surveys and collecting feedback and The tool is packed with various robust features to help you segment your audience, create custom polls, and collect multichannel polls. With Retently, businesses can collect customer feedback and analyze the results with advanced analytics and reports for corrective action. Retently's cloud-based platform is designed to help businesses track their Net Promoter Score, collect valuable customer reviews, and build customer loyalty by converting detractors into repeat customers.
Retently's API provides access to various types of data related to customer feedback and satisfaction. The categories of data that can be accessed through Retently's API include:
1. Customer feedback data: This includes data related to customer feedback, such as NPS scores, customer comments, and ratings.
2. Customer satisfaction data: This includes data related to customer satisfaction, such as customer satisfaction scores, customer loyalty, and customer retention rates.
3. Customer behavior data: This includes data related to customer behavior, such as customer purchase history, customer demographics, and customer preferences.
4. Campaign data: This includes data related to Retently's campaigns, such as campaign performance metrics, campaign engagement rates, and campaign conversion rates.
5. User data: This includes data related to Retently's users, such as user activity, user preferences, and user engagement.
Overall, Retently's API provides access to a wide range of data related to customer feedback and satisfaction, which can be used to improve customer experience and drive business growth.
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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