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Begin by logging into your SurveyMonkey account. Navigate to the survey whose data you want to export. Click on "Results" and then "Export Results." Choose the export format that is easiest to work with, such as CSV or Excel. Download the exported file to your local machine.
Open the downloaded file using spreadsheet software like Microsoft Excel or Google Sheets. Review the data for any inconsistencies or errors. Ensure that all required fields are correctly filled and that there are no unexpected values. Make any necessary adjustments to the data format to ensure compatibility with Oracle.
Log into your Oracle database using a database management tool like SQL Developer. Define the structure of the table where the data will be imported. Use a SQL CREATE TABLE statement to specify the table name and columns, ensuring the data types match the information from SurveyMonkey. For example, if a column in your CSV is a date, ensure it is set as a DATE type in Oracle.
Use a script or manually convert the data from CSV into SQL INSERT statements. Each row in your CSV file should correspond to an INSERT statement in SQL. For example:
```sql
INSERT INTO your_table_name (column1, column2, column3) VALUES ('value1', 'value2', 'value3');
```
Ensure that all special characters in the data are appropriately escaped.
Using SQL Developer or SQLPlus, execute the SQL INSERT scripts to load the data into your Oracle table. Open the SQL Worksheet, paste your INSERT statements, and run them. Ensure that you commit the transaction if required, to save the data in the database.
After loading the data, perform thorough checks to ensure all data has been accurately imported. Use SELECT queries to compare counts, sums, and sample data from the Oracle table with the original SurveyMonkey data. This step confirms that the import process was successful and accurate.
Once data integrity is confirmed, create a backup of the Oracle table as a safeguard. Use Oracle's export utilities to create a dump of the table. Document the entire process you followed, including any scripts or commands used, for future reference or replication of the process. This documentation will be valuable for troubleshooting or repeating the task in the future.
By following these steps, you can manually transfer data from SurveyMonkey to Oracle while ensuring data accuracy and integrity 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.
Survey Monkey uses the power of the web to enable individuals and companies to reach unprecedented numbers of respondents to gain insights into almost anything. An experience management company, Momentive Inc. (formerly SurveyMonkey Inc.) uses a cloud-based software to provide service solutions for businesses and individuals needing brand or market insights, information regarding consumers’ product experiences, employee and customer experiences—information of any kind for which surveys can provide useful information to improve products, events, experiences.
SurveyMonkey's API provides access to a wide range of data related to surveys and responses. The following are the categories of data that can be accessed through SurveyMonkey's API:
1. Survey data: This includes information about the survey itself, such as the survey title, description, and questions.
2. Response data: This includes information about the responses to the survey, such as the respondent's answers to each question.
3. User data: This includes information about the users who created the survey, such as their name, email address, and account type.
4. Team data: This includes information about the teams that the user belongs to, such as the team name and members.
5. Template data: This includes information about the survey templates available on SurveyMonkey, such as the template name and description.
6. Collector data: This includes information about the collectors used to distribute the survey, such as the collector type and status.
7. Analytic data: This includes information about the survey results, such as the response rate, completion time, and average score.
Overall, SurveyMonkey's API provides access to a comprehensive set of data related to surveys and responses, which can be used to gain insights and make data-driven decisions.
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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