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Begin by thoroughly understanding the data you want to move from Delighted. This includes identifying the type of data (e.g., survey responses), the structure, and the format in which it is stored. Delighted typically provides data via its API, so familiarize yourself with the API documentation to know how to access and retrieve data.
If you haven't already, create a GCP project where your Google Pub/Sub service will reside. This involves logging into the Google Cloud Console, creating a new project, and enabling billing. Ensure you have the necessary permissions to manage Pub/Sub resources within the project.
In your GCP project, navigate to Pub/Sub in the Cloud Console and create a new topic. A topic is a named resource to which messages are sent by publishers. Note the topic name as you will need it when publishing messages.
Write a script in a programming language of your choice (e.g., Python, Node.js) to fetch data from Delighted using its API. Use HTTP requests to authenticate and retrieve the data you need. Ensure that your script handles API authentication, typically using API keys provided by Delighted.
Once you've retrieved the data from Delighted, transform it into a format suitable for Pub/Sub. This generally involves converting the data into JSON strings that can be sent as messages. Handle any necessary data transformations or cleaning during this step to ensure the data is ready for consumption.
Extend your script to publish the transformed data to the Pub/Sub topic you created. Use the Google Cloud client library for your programming language to interact with Pub/Sub. This involves setting up a publisher client, specifying the topic, and sending the messages. Ensure you handle any errors or retries as needed.
Once your script is running, monitor the Pub/Sub topic to verify that the data is being published successfully. Use the Google Cloud Console to view messages in the topic or set up a subscription to consume and log the messages for verification purposes. Regularly check for any errors or issues in the data transfer process.
By following these steps, you can effectively move data from Delighted to Google Pub/Sub 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.
Delighted assists businesses connect with their customers learning, improving, and delighting.It is well known for delivering some of the most innovative functionality for customer experience management. Delighted is completely the self-serve experience management platform of choice for the worldwide top brands. It helps to collect and analyze survey feedback through Delighted. Get set up in minutes, no technical knowledge needed. Delight helps to build long-lasting relationships and deliver great service experience.
Delighted's API provides access to various types of data related to customer feedback and satisfaction. The categories of data that can be accessed through Delighted's API are:
1. Survey Responses: This includes all the responses received from customers through Delighted's surveys. It includes both quantitative and qualitative data.
2. Metrics: This includes various metrics related to customer satisfaction, such as Net Promoter Score (NPS), Customer Satisfaction Score (CSAT), and Customer Effort Score (CES).
3. Trends: This includes trends related to customer feedback and satisfaction over time. It helps businesses to identify patterns and make data-driven decisions.
4. Segmentation: This includes data related to customer segments, such as demographics, location, and behavior. It helps businesses to understand their customers better and tailor their offerings accordingly.
5. Integrations: Delighted's API also provides access to data from various integrations, such as Salesforce, HubSpot, and Slack. It helps businesses to streamline their workflows and improve their customer experience. Overall, Delighted's API provides a comprehensive set of data that businesses can use to measure and improve their customer satisfaction.
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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