You have experience working with databases or, perhaps, you have heard how useful databases can be for organizing your data. Have you ever wanted to create and manage your own databases but thought such knowledge is reserved for database administrators? Well, it is not! This course teaches you the skills and knowledge necessary to create and manage your own PostgreSQL databases. Topics that will be covered include the structure of PostgreSQL databases, PostgreSQL datatypes, and normalization of databases to efficiently store data and avoid data loss. These topics will be taught using data from the U.S. Small Business Administration (SBA) to guide the lessons and provide context for the concepts covered in the course.
Chapter 1: Structure of PostgreSQL DatabasesFree
In this chapter, you will be introduced to the fundamental objects in a PostgreSQL database: the database, tables, and schemas. After completing this chapter, you will know how to issue commands to create all three types of objects, and understand how each fits into the hierarchy of PostgreSQL objects.
Chapter 2: PostgreSQL Data Types
In this chapter, you will be introduced to text, numeric, temporal, and boolean data types in PostgreSQL. After completing this chapter, you will be able to define the appropriate data types for table columns based on the data values to be stored.
Chapter 3: Database Normalization
In this chapter, database normalization is introduced. Database normalization maintains data integrity and reduces data duplication. 1st, 2nd, and 3rd Normal Form are defined as steps in the process of normalizing a database. Examples to clarify concepts are provided throughout the chapter.
Chapter 4: Access Control in PostgreSQL
In this chapter, the topic of access control in PostgreSQL is introduced. Access control is presented as granting and revoking privileges to users and groups on database objects. Using these tools, a database and its objects can be protected from unauthorized access, helping to ensure the integrity of the stored data.
Darryl Reeves Ph.D
Industry Assistant Professor, NYU Tandon School of Engineering
Darryl is a computational scientist with expertise in utilizing data-driven approaches to solve complex problems in both academic and business settings. He worked for a number of years in a variety of technical roles including software development and technology-based client services mostly within start-up organizations in the finance and online advertising industries. He has a love for technology and education and enjoys solving interesting problems across diverse domains.