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Start by logging into your SurveySparrow account. Navigate to the survey from which you want to export data. Use the export feature to download the survey data, typically available in formats like CSV or Excel. Ensure the export includes all necessary data fields you need in your MSSQL database.
Open the exported file in a spreadsheet program (like Excel) and review the data to ensure its accuracy and completeness. Clean up any unnecessary columns and normalize the data, making sure it matches the schema of your MSSQL destination. Save the cleaned data as a CSV file for easier import.
Make sure you have access to your MSSQL server, and that you have the necessary permissions to create tables and import data. If you haven't already, create a database or use an existing one where you'll import the survey data.
Open SQL Server Management Studio (SSMS) and connect to your MSSQL server. Write a SQL script to create a table with the appropriate columns that match the data format in your CSV file. Execute the script to create the table in your database.
Use the BULK INSERT command in SQL Server to import your CSV file into the database. You can do this by executing a SQL script in SSMS:
```sql
BULK INSERT YourDatabaseName.dbo.YourTableName
FROM 'C:\Path\To\Your\File.csv'
WITH
(
FIELDTERMINATOR = ',',
ROWTERMINATOR = '\n',
FIRSTROW = 2 -- Skip header row if your CSV has one
);
```
Replace `YourDatabaseName`, `YourTableName`, and the file path with your actual database name, table name, and file path.
Once the import is complete, run a few SELECT queries in SSMS to ensure that the data in your MSSQL table matches the data in your CSV file. Check for any discrepancies or data type mismatches and address them as necessary.
If you need to move data regularly, automate the export and import process. You can use SQL Server's built-in scheduling tools, like SQL Server Agent, to run the BULK INSERT script at specified intervals. You may need to use scripting or batch files to automate the export from SurveySparrow, potentially using their API if available, and to handle any necessary data transformations.
By following these steps, you can effectively move data from SurveySparrow to an MSSQL destination without relying on third-party tools 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:
