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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.
To sync data the Zenloop API can assist both full refresh and incremental for both answer endpoints. One can select this connector that will copy only the new or updated data, or all rows in the tables and columns you establish for replication, a sync is always run. Zenloop combines perfect customer relationships and it is an integrated experience management floor which based on the Net Promoter Score. The Zenloop API contributes programmatic entry and integration to a customer feeback platform.
Zenloop's API provides access to various types of data related to customer feedback and satisfaction. The categories of data that can be accessed through Zenloop's API are:
1. Feedback data: This includes all the feedback received from customers through various channels such as email, web forms, and social media.
2. Customer data: This includes information about customers such as their name, email address, phone number, and other contact details.
3. Survey data: This includes data related to surveys conducted by the company to gather feedback from customers.
4. Net Promoter Score (NPS) data: This includes data related to the NPS score of the company, which is a measure of customer satisfaction and loyalty.
5. Sentiment analysis data: This includes data related to the sentiment of customer feedback, which can help companies understand the overall sentiment of their customers towards their products or services.
6. Analytics data: This includes data related to customer behavior, such as the number of visits to the company's website, the time spent on the website, and the pages visited.
Overall, Zenloop's API provides access to a wide range of data that can help companies gain insights into customer feedback and satisfaction, and make data-driven decisions to 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.
To sync data the Zenloop API can assist both full refresh and incremental for both answer endpoints. One can select this connector that will copy only the new or updated data, or all rows in the tables and columns you establish for replication, a sync is always run. Zenloop combines perfect customer relationships and it is an integrated experience management floor which based on the Net Promoter Score. The Zenloop API contributes programmatic entry and integration to a customer feeback platform.
Typesense is an open-source, typo-tolerant search engine optimized for an instant (typically sub-50ms) search-like-up-type experience and developer productivity. If you've heard of Elasticsearch or Algolia, a good way to think about Typesense is that it's an open source alternative to Algolia, with some key issues fixed and an easy-to-use battery-powered alternative to Elasticsearch.It works like a CDN, but for Search. Deploy nodes around the world, closest to your users, to provide them an ultra-fast search experience.
1. First, you need to obtain your Zenloop API key. You can find this by logging into your Zenloop account and navigating to the "API" section under "Settings". Copy the API key to your clipboard.
2. In Airbyte, navigate to the "Sources" tab and click "New Source". Select "Zenloop" from the list of available sources.
3. In the "Configure Zenloop" page, enter a name for your source and paste your API key into the "API Key" field.
4. Next, select the data you want to sync from Zenloop. You can choose to sync feedback, NPS scores, or both.
5. Choose the frequency at which you want to sync your data. You can choose to sync your data hourly, daily, or weekly.
6. Finally, click "Test Connection" to ensure that your credentials are correct and that Airbyte can connect to your Zenloop account.
7. If the test is successful, click "Create Source" to save your Zenloop source connector. Your data will now be synced according to the frequency you selected.
8. You can view the status of your Zenloop source connector by navigating to the "Sources" tab in Airbyte and clicking on your Zenloop source. From here, you can view the sync history, edit the source configuration, or delete the source connector if necessary.
1. First, navigate to the Airbyte website and log in to your account.
2. Once you are logged in, click on the "Destinations" tab on the left-hand side of the screen.
3. Scroll down until you find the Typesense destination connector and click on it.
4. You will be prompted to enter your Typesense API key. Enter this information and click "Test Connection" to ensure that the connection is successful.
5. If the connection is successful, click "Save" to save your Typesense destination connector settings.
6. Next, navigate to the "Sources" tab on the left-hand side of the screen and select the source that you want to connect to your Typesense destination.
7. Follow the prompts to enter the necessary information for your source connector, such as the API key or database credentials.
8. Once you have entered all of the necessary information, click "Test Connection" to ensure that the connection is successful.
9. If the connection is successful, click "Save" to save your source connector settings.
10. Finally, click on the "Sync" tab on the left-hand side of the screen and select the source and destination connectors that you want to use for your data sync.
11. Follow the prompts to set up your data sync, such as selecting the tables or data types that you want to sync.
12. Once you have completed all of the necessary steps, click "Start Sync" to begin syncing your data between your source and Typesense destination connectors.
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
Zenloop's API provides access to various types of data related to customer feedback and satisfaction. The categories of data that can be accessed through Zenloop's API are:
1. Feedback data: This includes all the feedback received from customers through various channels such as email, web forms, and social media.
2. Customer data: This includes information about customers such as their name, email address, phone number, and other contact details.
3. Survey data: This includes data related to surveys conducted by the company to gather feedback from customers.
4. Net Promoter Score (NPS) data: This includes data related to the NPS score of the company, which is a measure of customer satisfaction and loyalty.
5. Sentiment analysis data: This includes data related to the sentiment of customer feedback, which can help companies understand the overall sentiment of their customers towards their products or services.
6. Analytics data: This includes data related to customer behavior, such as the number of visits to the company's website, the time spent on the website, and the pages visited.
Overall, Zenloop's API provides access to a wide range of data that can help companies gain insights into customer feedback and satisfaction, and make data-driven decisions to 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: