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Begin by exporting the data from Delighted. Log in to your Delighted account and navigate to the "Export" section. Choose the format that best suits your needs (such as CSV or Excel). Ensure that you select the appropriate data range and the specific fields you want to export. Download the exported file to your local machine.
Open the exported file using a spreadsheet application like Microsoft Excel or Google Sheets. Review the data for consistency and completeness. Make any necessary adjustments to the data format to ensure compatibility with Oracle's data types. Save the cleaned and prepared data in a format that is easily importable by Oracle, such as a CSV file.
Ensure that your Oracle database is set up and accessible. You need to have the appropriate permissions to create tables and insert data. Use Oracle SQL Developer or any other Oracle client tool to connect to your Oracle database. Verify your connection settings, such as hostname, port, SID/Service name, username, and password.
With your Oracle client, write a SQL query to create a table structure that matches the data fields you exported from Delighted. Specify the appropriate data types for each column based on the prepared data. Execute the SQL query to create the table in your Oracle database.
SQL*Loader is a utility provided by Oracle to load data from external files into Oracle tables. Create a control file (.ctl) that specifies how the CSV data should be loaded into the Oracle table. Define the input data file, specify the table, and map the file fields to the table columns. Save this control file on your local machine.
Open a command-line interface on your machine. Use the SQL*Loader utility by executing a command that references your control file. The command typically looks like this: `sqlldr userid=username/password@database control=your_control_file.ctl`. Monitor the process for any errors and ensure that the data is successfully loaded into the Oracle table.
After the loading process is complete, use Oracle SQL Developer or your Oracle client tool to query the newly populated table. Verify that all data has been imported correctly by comparing a sample of the data in Oracle with the original data from the Delighted export. Ensure there are no discrepancies or data integrity issues.
By following these steps, you can effectively transfer data from Delighted to an Oracle database without the need for 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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