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Creating a set of data and using several of the basic DML forms available in PostgreSQL.

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Queries in PostgresSQL

DDL was used to create tables, update the fields in an existing table. A set of commands were used to manipulate data stored in database.

Data Engineering

  • Using the information to create a table schema for each of the six CSV files
  • Specifing data types, primary keys, foreign keys, and other constraints
  • Import each CSV file into the corresponding SQL table

Data Analysis

  • Listing the following details of each employee: employee number, last name, first name, gender, and salary
  • Listing employees who were hired in 1986
  • Listing the manager of each department with the following information: department number, department name, the manager's employee number, last name, first name, and start and end employment dates
  • Listing the department of each employee with the following information: employee number, last name, first name, and department name
  • Listing all employees whose first name is "Hercules" and last names begin with "B"
  • Listing all employees in the Sales department, including their employee number, last name, first name, and department name
  • Listing all employees in the Sales and Development departments, including their employee number, last name, first name, and department name
  • In descending order, listing the frequency count of employee last names, i.e., how many employees share each last name

Queries Used

Data Definition Language Statements:

  • CREATE TABLE
  • ALTER
  • DROP
  • CREATE VIEW
  • DROP VIEW

Data Manipulation Language Statements:

  • SELECT
  • APPEND
  • DELET
  • UPDATE
  • JOIN

Aggregate Functions:

  • SUM
  • COUNT
  • GROUP BY
  • WHERE

Data Modeling

Inspecting the CSVs and sketching out an ERD of the tables

Test Image 3

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Creating a set of data and using several of the basic DML forms available in PostgreSQL.

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