Data extraction
using SQL Server
In this project I use SQL Server to extract necessary data from Human Resource Database - which is a relational database
Database Description

The data consists of 7 tables:
- JOB_HISTORY: includes information of employees who do not work in company any more.
- EMPLOYEES_ID: employee identifier, unique for each employee.
- START_DATE: the date that employee started working.
- END_DATE:the date that employee stopped working.
- JOB_ID: job identifier unique for each job.
- DEPARTMENT_ID: department identifier, unique for each department.
- JOBS: includes information of jobs.
- JOB_ID: job identifier unique for each job.
- JOB_TITLE: name of jobs.
- MIN_SALARY: smallest salary of that job.
- MAX_SALARY: largest salary of that job.
- EMPLOYEES: includes information of employees in company.
- EMPLOYEES_ID: employee identifier, unique for each employee.
- LAST_NAME: last name of employees.
- FIRST_NAME: first name of employees.
- EMAIL: email of employees.
- PHONE_NUMBER: phone number of employees.
- HIRE_DATE: the date that employeee were hired.
- JOB_ID: job identifier unique for each job.
- SALARY: salary of employees.
- COMMISSION_PCT: the percentage of commission.
- MANAGER_ID: manager identifier of employees.
- DEPARTMENT_ID: department identifier, unique for each department.
- REGIONS: includes information of regions.
- REGION_ID: region identifier, unique for each region.
- REGION_NAME: the name of region name.
- COUNTRIES: includes information of countries.
- COUNTRY_ID: country identifier, unique for each country.
- COUNTRY_NAME: the name of country
- REGION_ID: region identifier, unique for each region.
- LOCATION: includes information of locations.
- LOCATION_ID: location identifier, unique for each location.
- STREET_ADDRESS: the address of the location.
- POSTAL_CODE:
- CITY: city of location.
- STATE_PROVINCE:
- COUNTRY_ID: country identifier, unique for each country.
- DEPARTMENT: includes information of all departments in company.
- DEPARTMENT_ID: department identifier, unique for each department.
- DEPARTMENT_NAME: the name of departments.
- MANAGER_ID: manager identifier of employees.
- LOCATION_ID: location identifier, unique for each location.
Here the full code that I use to extract data.
Click here