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Begin by exporting the necessary data from Lever Hiring. Log into your Lever account and navigate to the reporting or data export section. Choose the specific datasets you need to move, such as candidates, job postings, or interview details. Use the built-in export feature to download the data in a CSV or Excel format. Ensure that the exported file includes all required fields and data points.
Open the exported file in a spreadsheet application like Microsoft Excel or Google Sheets. Review the data for completeness and accuracy. Clean the data by removing duplicates, correcting errors, and standardizing formats (e.g., dates, phone numbers). This step is crucial to avoid data integrity issues when importing into the Oracle database.
Before importing the data, define the schema in your Oracle Database that matches the structure of the exported data. Use Oracle SQL Developer or a similar tool to create tables with appropriate data types that correspond to the columns in your CSV/Excel file. Pay attention to primary keys, foreign keys, and other constraints to maintain data integrity.
Modify the cleaned data file to match the defined Oracle database schema. This involves adjusting column names, data types, and ensuring any foreign key relationships are properly represented. Use spreadsheet functions or a scripting language like Python to automate this process if needed.
Save the transformed data file in a format suitable for Oracle import, typically as a CSV file. Ensure the file is properly formatted, with consistent delimiters and no extraneous characters. If necessary, split large datasets into smaller files to comply with Oracle�s import limitations.
Use Oracle SQL*Loader or Data Pump for the import process. Configure the control file or import parameters to map the CSV file columns to the database table columns accurately. Execute the loading process from the command line or within Oracle SQL Developer, and monitor for any errors or warnings.
After the import, run SQL queries to verify that the data has been accurately and completely transferred to the Oracle database. Check for any discrepancies or missing data by comparing record counts and sampling data between the source file and the database. Resolve any issues identified during this verification process to ensure data integrity.
By following these steps, you can successfully transfer data from Lever Hiring to an Oracle Database without relying on third-party connectors or integrations, ensuring a seamless and controlled data migration process.
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.
The Lever Hire and Lever Nurture features allow leaders to scale and grow their people pipeline and build authentic and long-lasting relationships. The lever is a leading Talent Acquisition Suite that makes it easy for talent teams to reach their hiring goals and to connect companies with top talent. Lever hire is a complete talent acquisition suite that provides all the tools needed for businesses to discover and hire the best talents.
Lever Hiring's API provides access to a wide range of data related to the hiring process. The following are the categories of data that can be accessed through the API:
1. Candidates: Information about candidates who have applied for a job, including their name, contact details, resume, and application status.
2. Jobs: Details about the job openings, including the job title, location, description, and requirements.
3. Interviews: Information about the interviews scheduled for the candidates, including the date, time, location, and interviewer details.
4. Offers: Details about the job offers made to the candidates, including the salary, benefits, and start date.
5. Users: Information about the users who have access to the Lever Hiring platform, including their name, email address, and role.
6. Teams: Details about the teams within the organization, including the team name, members, and roles.
7. Stages: Information about the different stages of the hiring process, including the names and descriptions of each stage.
8. Sources: Details about the sources from which the candidates have applied, including job boards, social media, and referrals.
Overall, Lever Hiring's API provides a comprehensive set of data that can be used to streamline the hiring process and improve the overall efficiency of the recruitment process.
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?
Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:
