Gain the foundational skills you need to be a confident, high-earning SQL database administrator. In this track, you’ll learn how to create, manage, and optimize your PostgreSQL database. Through real-world exercises you’ll write and run real-code in your browser as you learn how to use T-SQL syntax, DML triggers, and improve query performance, making sure that your database can scale as your business needs grow.

Gain the database skills you need to become a confident, high-earning SQL DBA. Learn how to create, grow, and manage your PostgreSQL database. 

SQL for Database Administrators

In this chapter, you'll create your very first database with a set of simple SQL commands. Next, you'll migrate data from existing flat tables into that database. You'll also learn how meta-information about a database can be queried.

Your first database

After building a simple database, it's now time to make use of the features. You'll specify data types in columns, enforce column uniqueness, and disallow NULL values in this chapter.

Enforce data consistency with attribute constraints

Now let’s get into the best practices of database engineering. It's time to add primary and foreign keys to the tables. These are two of the most important concepts in databases, and are the building blocks you’ll use to establish relationships between tables.

Uniquely identify records with key constraints

In the final chapter, you'll leverage foreign keys to connect tables and establish relationships that will greatly benefit your data quality. And you'll run ad hoc analyses on your new database.

Glue together tables with foreign keys

You’ve already used SQL to query data from databases. But did you know that there's a lot more you can do with databases? You can model different phenomena in your data, as well as the relationships between them. This gives your data structure and consistency, which results in better data quality. In this course, you'll experience this firsthand by working with a real-life dataset that was used to investigate questionable university affiliations. Column by column, table by table, you'll get to unlock and admire the full potential of databases. You'll learn how to create tables and specify their relationships, as well as how to enforce data integrity. You'll also discover other unique features of database systems, such as constraints.

Introduction to SQL

Learn how to create one of the most efficient ways of storing data - relational databases! 

Introduction to Relational Databases in SQL

Programming

Start your journey into database design by learning about the two approaches to data processing, OLTP and OLAP. In this first chapter, you'll also get familiar with the different forms data can be stored in and learn the basics of data modeling.

Processing, Storing, and Organizing Data

In this chapter, you will take your data modeling skills to the next level. You'll learn to implement star and snowflake schemas, recognize the importance of normalization and see how to normalize databases to different extents.

Database Schemas and Normalization

Get ready to work with views! In this chapter, you will learn how to create and query views. On top of that, you'll master more advanced capabilities to manage them and end by identifying the difference between materialized and non-materialized views.

Database Views

This final chapter ends with some database management-related topics. You will learn how to grant database access based on user roles, how to partition tables into smaller pieces, what to keep in mind when integrating data, and which DBMS fits your business needs best.

Database Management

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A good database design is crucial for a high-performance application. Just like you wouldn't start building a house without the benefit of a blueprint, you need to think about how your data will be stored beforehand. Taking the time to design a database saves time and frustration later on, and a well-designed database ensures ease of access and retrieval of information. While choosing a design, a lot of considerations have to be accounted for. In this course, you'll learn how to process, store, and organize data in an efficient way. You'll see how to structure data through normalization and present your data with views. Finally, you'll learn how to manage your database and all of this will be done on a variety of datasets from book sales, car rentals, to music reviews.

Database Design

Data Engineering

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 1: Structure of PostgreSQL Databases

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 2: PostgreSQL Data Types

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 3: Database Normalization

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.

Chapter 4: Access Control in PostgreSQL

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.

This course teaches you the skills and knowledge necessary to create and manage your own PostgreSQL databases.

Creating PostgreSQL Databases

Importing & Cleaning Data

Bundle up as you dive into the Winter Olympics! You will learn how to join, subquery, and create temporary tables while finding which Olympic athletes brave sub-freezing temperatures to train. You will also learn about the query planner and how its functionality can guide your SQL structure to faster queries.

Bringing Together the Data

Dig up those past algebra memories while learning the SQL order of operations. Find which countries "should" have the most athletes by looking at population and gross domestic product (GDP) while learning the best way to filter. You will also learn when your query aggregates (sums, counts, etc.) and how you can structure your query to optimize this process.

Minimizing Results and Decreasing the Load

Zero in on the properties that improve database performance. Discover when your table is not a table but a view. Learn how your database's storage structure (row or column oriented) impacts your query structure. You will explore volcanic smog while using partitions and indexes to speed your queries.

Using Database Designed Properties

Learn the lingo of the Query Lifecycle and dive into the query planner. Explore how the query planner creates and optimizes the query plan. Find your next vacation locale by looking for countries with recent population growth while also seeing how a join impacts the query steps. Fine tune your optimization techniques by seeing how different filters speed your query times. 

Assessing Query Performance

Olympic Athletes

Olympic Regions

Losing time on slow queries? Hesitant to share your queries with more seasoned coworkers? In this course, you will learn how to structure your PostgreSQL to run in a fraction of the time. Exploring intertwined data relating Olympic participation, country climate, and gross domestic product, you will experience firsthand how changes in filtering method and using subqueries impact query performance. You will learn the properties of a row oriented database while also seeing how Hawaii's volcanos impact air quality. Restructuring your queries with the query planner and the SQL order of operations, you will soon be dazzling your coworkers with your effortless efficiency.

Intermediate SQL

Learn how to structure your PostgreSQL queries to run in a fraction of the time.

Learning Experience

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SQL for Database Administrators

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Join over .css-w0wpus-TrackShowPage{color:#03ef62;}7,430,000 learners and start SQL for Database Administrators today!

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Join over 7,430,000 learners and start SQL for Database Administrators today!