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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.
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.
BigQuery is an enterprise data warehouse that draws on the processing power of Google Cloud Storage to enable fast processing of SQL queries through massive datasets. BigQuery helps businesses select the most appropriate software provider to assemble their data, based on the platforms the business uses. Once a business’ data is acculumated, it is moved into BigQuery. The company controls access to the data, but BigQuery stores and processes it for greater speed and convenience.
1. First, navigate to the Qualaroo source connector page on Airbyte.com.
2. Click on the "Create new connection" button.
3. Enter a name for your connection and click "Next".
4. Enter your Qualaroo API key and API secret in the appropriate fields.
5. Click "Test" to ensure that your credentials are correct and that Airbyte can connect to your Qualaroo account.
6. Once the test is successful, click "Next".
7. Select the surveys you want to replicate in Airbyte.
8. Choose the replication frequency and the destination where you want to send the data.
9. Click "Create connection" to finalize the setup.
10. Your Qualaroo data will now be replicated to your chosen destination on the schedule you specified.
It's important to note that the Qualaroo source connector on Airbyte.com is designed to replicate survey data only. If you want to replicate other types of data from Qualaroo, you will need to use a different connector or build a custom connector using Airbyte's SDK.
1. First, navigate to the Airbyte dashboard and select the "Destinations" tab on the left-hand side of the screen.
2. Scroll down until you find the "BigQuery" destination connector and click on it.
3. Click the "Create Destination" button to begin setting up your BigQuery destination.
4. Enter your Google Cloud Platform project ID and service account credentials in the appropriate fields.
5. Next, select the dataset you want to use for your destination and enter the table prefix you want to use.
6. Choose the schema mapping for your data, which will determine how your data is organized in BigQuery.
7. Finally, review your settings and click the "Create Destination" button to complete the setup process.
8. Once your destination is created, you can begin configuring your source connectors to start syncing data to BigQuery.
9. To do this, navigate to the "Sources" tab on the left-hand side of the screen and select the source connector you want to use.
10. Follow the prompts to enter your source credentials and configure your sync settings.
11. When you reach the "Destination" step, select your BigQuery destination from the dropdown menu and choose the dataset and table prefix you want to use.
12. Review your settings and click the "Create Connection" button to start syncing data from your source to your BigQuery destination.
With Airbyte, creating data pipelines take minutes, and the data integration possibilities are endless. Airbyte supports the largest catalog of API tools, databases, and files, among other sources. Airbyte's connectors are open-source, so you can add any custom objects to the connector, or even build a new connector from scratch without any local dev environment or any data engineer within 10 minutes with the no-code connector builder.
We look forward to seeing you make use of it! We invite you to join the conversation on our community Slack Channel, or sign up for our newsletter. You should also check out other Airbyte tutorials, and Airbyte’s content hub!
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
What should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
Ready to get started?
Frequently Asked Questions
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 should you do next?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey: