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Begin by logging into your SurveyMonkey account. Navigate to the specific survey from which you want to export data. Use the export feature to download the survey data in a CSV format. CSV is a widely-supported format that can be used for data transfers between different systems.
Open the downloaded CSV file in a spreadsheet application like Microsoft Excel or Google Sheets. Clean and format the data to ensure consistency. Remove any unnecessary columns, correct data types, and ensure that the headers match the schema you plan to use in Starburst Galaxy.
Log into your Starburst Galaxy account. Ensure you have the necessary permissions to create catalogs and schemas, and to import data. Familiarize yourself with the Starburst Galaxy environment to understand how to manage tables and databases.
In Starburst Galaxy, navigate to the interface where you can manage schemas. Create a new schema that will hold your survey data. Define the schema's structure based on the CSV file's headers and data types. Ensure that the schema is optimized for the types of queries you plan to run.
Write SQL INSERT statements that will be used to load the data from your CSV file into the Starburst Galaxy schema. Ensure these scripts correspond to the columns and data types defined in your schema. You may need to write conversion functions within these scripts if your data types require it.
Use a secure method such as a command-line tool or a built-in data transfer utility in Starburst Galaxy to upload the CSV file to a location accessible by Starburst Galaxy. Depending on the environment configuration, this could be an S3 bucket or another cloud storage that Starburst Galaxy can access.
Run the prepared SQL scripts within the Starburst Galaxy environment to insert the data from the CSV file into your database schema. Verify the integrity and accuracy of the data after the import process by running test queries. Ensure that all data has been uploaded successfully and matches the original dataset from SurveyMonkey.
By following these steps, you can manually transfer data from SurveyMonkey 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.
Survey Monkey uses the power of the web to enable individuals and companies to reach unprecedented numbers of respondents to gain insights into almost anything. An experience management company, Momentive Inc. (formerly SurveyMonkey Inc.) uses a cloud-based software to provide service solutions for businesses and individuals needing brand or market insights, information regarding consumers’ product experiences, employee and customer experiences—information of any kind for which surveys can provide useful information to improve products, events, experiences.
SurveyMonkey's API provides access to a wide range of data related to surveys and responses. The following are the categories of data that can be accessed through SurveyMonkey's API:
1. Survey data: This includes information about the survey itself, such as the survey title, description, and questions.
2. Response data: This includes information about the responses to the survey, such as the respondent's answers to each question.
3. User data: This includes information about the users who created the survey, such as their name, email address, and account type.
4. Team data: This includes information about the teams that the user belongs to, such as the team name and members.
5. Template data: This includes information about the survey templates available on SurveyMonkey, such as the template name and description.
6. Collector data: This includes information about the collectors used to distribute the survey, such as the collector type and status.
7. Analytic data: This includes information about the survey results, such as the response rate, completion time, and average score.
Overall, SurveyMonkey's API provides access to a comprehensive set of data related to surveys and responses, which can be used to gain insights and make data-driven decisions.
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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