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Begin by logging into your Qualaroo account. Navigate to the section where your survey data is stored. Use the export feature to download your data in a common format such as CSV or Excel. Ensure that the export includes all the necessary fields and data points you wish to transfer to DuckDB.
Open the exported file using a spreadsheet program like Excel or a text editor if it's in CSV format. Examine the data for any inconsistencies, missing values, or errors. Clean up the data as necessary, ensuring that it is in a tabular format suitable for database import. Save any changes to the file, ensuring it remains in CSV format for compatibility.
If you haven't installed DuckDB yet, download it from the official DuckDB website. Follow the installation instructions for your operating system. DuckDB can be used directly from the command line or through a Python interface if you prefer scripting.
Open your command line interface (CLI) or terminal. Launch DuckDB by typing `duckdb` and create a new database by executing `CREATE DATABASE qualaroo_data.duckdb;`. This command sets up a new database file named `qualaroo_data.duckdb` where you will import your Qualaroo data.
Before importing, define a table schema that matches the structure of your Qualaroo data. Use SQL commands in DuckDB to create a table. For example:
```sql
CREATE TABLE survey_responses (
response_id INTEGER,
question TEXT,
answer TEXT,
timestamp TIMESTAMP
);
```
Adjust the table schema to fit the columns and data types from your CSV file.
With the table schema in place, import the CSV data into DuckDB using the following command:
```sql
COPY survey_responses FROM 'path/to/your/qualaroo_data.csv' (FORMAT CSV, HEADER);
```
Replace `'path/to/your/qualaroo_data.csv'` with the actual file path. This command imports the data directly into the `survey_responses` table.
After importing, verify that the data has been correctly imported into DuckDB. Run a simple query such as:
```sql
SELECT * FROM survey_responses LIMIT 10;
```
This query will display the first 10 rows of your data, allowing you to check for accuracy and completeness. If everything looks correct, your data migration is complete.
By following these steps, you can manually move data from Qualaroo to DuckDB 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.
Qualaroo is a SaaS product that helps companies gather customer insights to grow their business. Koala's mission is to help companies understand the reasons behind their customers' and prospects' decisions. Understanding why leads to better business results like increasing sales, improving web conversion rates and experience, increasing product engagement, reducing churn, and more. Qualaroo makes it possible to intelligently target interactions by time on page, pages visited, number of site visits, source citations, or any internal data.
Qualaroo's API provides access to various types of data related to user feedback and behavior. The categories of data that can be accessed through Qualaroo's API are:
1. Survey data: This includes data related to the surveys created using Qualaroo, such as survey responses, completion rates, and survey questions.
2. User behavior data: This includes data related to user behavior on a website or application, such as page views, clicks, and time spent on a page.
3. User feedback data: This includes data related to user feedback, such as comments, ratings, and suggestions.
4. Demographic data: This includes data related to user demographics, such as age, gender, location, and occupation.
5. Conversion data: This includes data related to user conversions, such as conversion rates, conversion funnels, and revenue generated.
6. A/B testing data: This includes data related to A/B testing, such as test results, variations, and statistical significance.
Overall, Qualaroo's API provides access to a wide range of data that can help businesses better understand their users and improve their products and services.
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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