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Begin by logging into your SurveySparrow account. Navigate to the survey whose data you wish to export. Use the export feature within SurveySparrow to download the survey data. Typically, the data can be exported in formats such as CSV or Excel. Ensure that you choose a format compatible with Teradata Vantage, such as CSV.
Open the exported CSV file using a spreadsheet application like Microsoft Excel or Google Sheets. Clean and format the data to ensure consistency, removing any unnecessary columns or correcting any formatting issues. Make sure the data types are compatible with the Teradata database schema you intend to use.
Access your Teradata Vantage environment. You can do this using the Teradata SQL Assistant, BTEQ (Basic Teradata Query), or any other Teradata client tool available to you. Ensure you have the necessary credentials and permissions to access the database where you will be importing the data.
In your Teradata environment, create a table schema that matches the structure of the CSV file. Use SQL commands to define the table, ensuring that the columns and data types match the cleaned CSV data. This step is crucial to ensure a smooth data import process.
Place the CSV file in a location accessible by Teradata Vantage. This can be achieved by uploading the file to a directory on the server where Teradata is hosted, or to a shared network location if Teradata can access it. Ensure that the file permissions allow Teradata to read the file.
Use Teradata’s native tools like FastLoad or Teradata Parallel Transporter (TPT) to load the CSV data into the Teradata table. These tools are designed to efficiently import large volumes of data into Teradata. Construct a load script with the correct file path and table name to execute the data load process. Verify that the data is correctly loaded by running a few test queries.
After loading the data, perform checks to ensure that the data in Teradata matches the original CSV file. Run queries to validate data integrity, checking for discrepancies or missing records. This step is crucial to ensure the data has been accurately and completely transferred from SurveySparrow to Teradata Vantage.
By following these steps, you can successfully move data from SurveySparrow to Teradata Vantage 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.
SurveySparrow is an online survey tool which permits users to create and distribute customer surveys through multiple channels, along with evaluate responses and it is also an experience management platform on a mission to assists businesses refine experiences end to end Conversational Experience Management Platform that helps you get a 40% better response rate. SurveySparrow supports you measure employee motivation by using surveys specially made for them. One can easily measure how engaged they are and their job satisfaction.
SurveySparrow'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 SurveySparrow's API:
1. Survey data: This includes information about the surveys created on the platform, such as survey title, description, and status.
2. Response data: This includes information about the responses received for each survey, such as response ID, respondent email, and response timestamp.
3. Question data: This includes information about the questions asked in each survey, such as question type, question text, and answer options.
4. User data: This includes information about the users who have access to the surveys, such as user ID, email, and role.
5. Analytics data: This includes information about the survey performance, such as response rate, completion rate, and average time taken to complete the survey.
6. Integration data: This includes information about the integrations used with SurveySparrow, such as the API key and endpoint URL.
Overall, SurveySparrow's API provides comprehensive access to all the data related to surveys and responses, enabling users to analyze and utilize the data for various purposes.
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?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
