1- From the following tables write a SQL query to find the names of departments where more than two employees are employed. Return dpt_name?

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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ussing oracle 

**Using Oracle Language to Solve SQL Queries**

The following set of tables and query form the basis for an educational exercise in SQL using Oracle. The task is to write a SQL query to find department names where more than two employees are employed.

### Table: emp_department
- **Columns:**
  - `DPT_CODE`: Department Code
  - `DPT_NAME`: Department Name
  - `DPT_ALLOTMENT`: Department Allotment

| DPT_CODE | DPT_NAME  | DPT_ALLOTMENT |
|----------|-----------|---------------|
| 57       | IT        | 65000         |
| 63       | Finance   | 15000         |
| 47       | HR        | 240000        |
| 27       | RD        | 55000         |
| 89       | QC        | 75000         |

### Table: emp_details
- **Columns:**
  - `EMP_IDNO`: Employee ID Number
  - `EMP_FNAME`: Employee First Name
  - `EMP_LNAME`: Employee Last Name
  - `EMP_DEPT`: Employee Department Code

| EMP_IDNO | EMP_FNAME | EMP_LNAME | EMP_DEPT |
|----------|-----------|-----------|----------|
| 127323   | Michale   | Robbin    | 57       |
| 526689   | Carlos    | Snares    | 63       |
| 843795   | Enric     | Dosio     | 57       |
| 328717   | Jhon      | Snares    | 63       |
| 444527   | Joseph    | Dosni     | 47       |
| 659831   | Zanifer   | Emily     | 47       |
| 847674   | Kuleswar  | Sitaraman | 57       |
| 748681   | Henrey    | Gabriel   | 47       |
| 555935   | Alex      | Manuel    | 57       |
| 539569   | George    | Mardy     | 27       |
| 733843   | Mario     | Saule     | 63       |
| 631548   | Alan      | Snappy    | 27       |
| 839139   | Maria     | Foster    | 57       |

### Table: company_mast
- **Columns:**
Transcribed Image Text:**Using Oracle Language to Solve SQL Queries** The following set of tables and query form the basis for an educational exercise in SQL using Oracle. The task is to write a SQL query to find department names where more than two employees are employed. ### Table: emp_department - **Columns:** - `DPT_CODE`: Department Code - `DPT_NAME`: Department Name - `DPT_ALLOTMENT`: Department Allotment | DPT_CODE | DPT_NAME | DPT_ALLOTMENT | |----------|-----------|---------------| | 57 | IT | 65000 | | 63 | Finance | 15000 | | 47 | HR | 240000 | | 27 | RD | 55000 | | 89 | QC | 75000 | ### Table: emp_details - **Columns:** - `EMP_IDNO`: Employee ID Number - `EMP_FNAME`: Employee First Name - `EMP_LNAME`: Employee Last Name - `EMP_DEPT`: Employee Department Code | EMP_IDNO | EMP_FNAME | EMP_LNAME | EMP_DEPT | |----------|-----------|-----------|----------| | 127323 | Michale | Robbin | 57 | | 526689 | Carlos | Snares | 63 | | 843795 | Enric | Dosio | 57 | | 328717 | Jhon | Snares | 63 | | 444527 | Joseph | Dosni | 47 | | 659831 | Zanifer | Emily | 47 | | 847674 | Kuleswar | Sitaraman | 57 | | 748681 | Henrey | Gabriel | 47 | | 555935 | Alex | Manuel | 57 | | 539569 | George | Mardy | 27 | | 733843 | Mario | Saule | 63 | | 631548 | Alan | Snappy | 27 | | 839139 | Maria | Foster | 57 | ### Table: company_mast - **Columns:**
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