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To begin, log into your Lever Hiring account. Navigate to the Reports section and select the specific data or report you wish to export. Lever typically allows data to be exported in CSV or Excel formats. Choose the format that best suits your needs and download the file to your local system.
Once you have your data exported, open the file using a spreadsheet application such as Microsoft Excel. Review the data to ensure it is clean and formatted correctly for import into MSSQL. This may involve removing any unnecessary columns, renaming headers to match your database schema, and ensuring data types are consistent.
Open SQL Server Management Studio (SSMS) and connect to your database server. If a suitable database does not exist, create one. Within the database, create a table structure that matches the data schema from your Lever export. Use SQL commands like `CREATE TABLE` to define your table, ensuring that datatypes and constraints align with your prepared data.
Before importing, check if any transformations are needed. This could include data type conversions, formatting adjustments, or calculations. Use a script or manual methods in your spreadsheet application to transform data as needed, ensuring that it will align correctly with the MSSQL table structure.
Open SSMS and use the SQL Server Import and Export Wizard, which can be accessed by right-clicking on your database, selecting Tasks, and then Import Data. Follow the wizard's instructions to specify your source as a flat file (CSV or Excel) and your destination as the MSSQL database table. Map columns between the source file and destination table accurately.
After the import is complete, run queries within SSMS to validate that the data has been imported correctly. Check for discrepancies, such as missing records or incorrect data types, and resolve any issues by re-importing those specific records or manually correcting them.
To facilitate regular updates, consider writing a custom script using SQL Server Integration Services (SSIS) or a SQL job that periodically imports new data files from Lever into your MSSQL database. This script should automate the import process by following the steps of data preparation, transformation, and import, minimizing manual intervention in the future.
By following these steps, you can effectively transfer data from Lever Hiring to an MSSQL database 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.
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:
