PostgreSQL is a powerful, open source object-relational database system.

postgres

Learn Postgres

You've got some practice with using SQL to select, update, and join database tables.

But perhaps you've found yourself with a sneaking suspicion that you could be more efficient with your PostgreSQL.

Does your query seem slow?

A lesson on how to profile queries will point you in the direction of a fix.

Are you performing multi-step operations one at a time that are susceptible to errors?

The "all or nothing" transaction is the cure.

These are just a couple of examples of the techniques, tips, and tricks that Tyler Clark has learned in his years of experience working on large scale production applications.

Other topics in this course include working with CSV files, different techniques for aggregating & filtering, and more!

Watch Tyler's course, and continue your journey toward SQL mastery.

Check out the [**Community Notes for this course.**](https://github.com/eggheadio-projects/advanced-sql-for-professional-developers)

Advanced SQL for Professional Developers

Most applications rely on databases to store data. Understanding how to create a database and communicate with it unlocks a critical power in your web development career. 

In this course, Tyler presents all the building blocks of creating and interacting with a PostgreSQL database. From creating a brand new table, up through organizing and aggregating data across multiple tables, you will learn the fundamental skills of SQL — and you’ll be prepared to apply them right away.

After completing this course, you’ll be ready to tackle more challenging SQL topics like proper data modeling, normalizing data, and exploring different database types.


Check out the [**Community Notes for this course.**](https://github.com/eggheadio-projects/sql-fundamentals)

SQL Fundamentals

You know the basics of Postgres, but most meaningful queries will require you to combine tables in novel ways to ask questions you couldn't ask with a single table alone. Joins and unions come up over and over again in interview questions -- because of how fundamental they are. This course will make you a master of your tables, and give you the power to answer questions you couldn't before. 

Understand Joins and Unions in Postgres

In this course we will show you how to wield the power behind the elusive window function. Which five movies were the highest grossing each year? Who are the highest performers in each department relative to their peers? These questions ask us to partition records into subgroups and answer questions about those groups -- that’s the power of a window function. 

Many programmers will reach for their favorite scripting language to solve problems like these, but window functions allow you to answer them with the speed and efficiency of the Postgres query planner.

Plus, with the power to further slice and dice this derivative information, there’s no limit to the questions you can answer with raw SQL.

If you’re interested in the Postgres client that is used in this course you can [download it here](https://macpostgresclient.com/?source=brett) to check it out and follow along.

Using Postgres Window Functions

It’s amazing how much you can accomplish with a basic knowledge of SQL. In this course we’ll learn how to store lots of information (many millions of things!) and answer nearly any question we might have about that information (on the order of milliseconds!) 

We’ll learn enough to make you say you “know SQL” -- table creation, inserts, selects, updates, deletes, aggregations, indexes, joins, and constraints. Along the way we’ll model real world problems so that you can see just how powerful SQL will make you!

If you’re interested in the Postgres client that is used in this course you can [download it here](https://macpostgresclient.com/?source=brett) to check it out and follow along.

Get Started With PostgreSQL

What if you want aggregations that aren’t running totals? What if you want the sum total for the whole frame? Or the minimum value across the frame? Unbounded preceding, unbounded following, and current row help you define your frame of reference.

Understand Frame Clauses

We have all this data, but how do we answer questions about it? In this lesson we’ll learn how to filter down to just the information we’re looking for.

Filter Data in a Postgres Table with Query Statements

If you have a list of competitors in a race, and a list of their finishing times, how do you create a list of what place they came in? Rank and dense rank can help you out; they differ in how they handle ties.

Rank Records with Rank and Dense Rank

What if your foreign keys are more complex than a single field? Postgres lets you enforce foreign key constraints across multiple fields with a similar syntax to defining complex primary keys.


Create Foreign Keys Across Multiple Fields in Postgres

How many users visited our site yesterday? We can find out by looking at each visit, and limiting this list to a distinct list of users (who may have visited many times). In this lesson we’ll learn how to answer questions like these with the distinct keyword.

Select Distinct Data in Postgres

Learn how to insert one record, two records, a million records! We’ll also explore some edge cases, like where not all data is known at the time of insertion.

Insert Data into Postgres Tables

Learn how to create a table using the most widely-used data types (serial, varchar, integer, float, boolean, and date), and the most necessary constraints (NOT NULL and primary key).

Create a Postgres Table

Every movie needs a director and every rented movie needs to exist in the store. How do we make sure something in another table exists before inserting new data? This lesson will teach us about foreign keys and references.

Use Foreign Keys to Ensure Data Integrity in Postgres

The more data you add, the longer it will take to answer new questions you pose to your database. That’s because so far, Postgres has been scanning through the table looking at every row to see if it meets the constraint. We can speed this process up substantially by adding indexes.

Speed Up Postgres Queries with Indexes

In this lesson we’ll see how we can partition movies into the years they were released, and find the top 5 rated titles each year. The power of the window function is to partition data into groups and answer questions about those groups.

Learn What A Window Function Can Do

What if you had a list of student grades and wanted to give them a weighted grade for the school year? Percent rank is used to answer frequency distribution questions. 

Perform Weighted Ranking with Percent Rank

Weighted ranking on a single factor can hide lots of information. For instance, students without access to internet perform 1-3 full letter grades worse than their peers with internet access. A teacher that wanted to consider student privilege could take many factors into account when assigning student grades to get a better sense for how strong individual students were.

Define Windows Using Multiple Factors

How does each runner compare with the first and last place finisher? What about the nth place finisher? First_value, last_value, and nth_value can make these decisions.

Compare the Outliers Using First Value and Last Value

Individual window functions are useful, but sometimes you’ll need to combine them to answer complex questions. For instance, which 10 star movies were released in the year that had the most 10 star movies released?

Combine Window Functions to Answer Complex Questions

How can we see a histogram of movies on IMDB with a particular rating? Or how much movies grossed at the box office each month? Or how many movies there are of each genre? These are examples of data aggregation questions, and this lesson will teach us how to answer them.

Group and Aggregate Data in Postgres

How do I see a list of my Facebook friends sorted by the number of friends they have, and then sorted alphabetically to break ties? Sorting data helps us to answer important business questions. In this lesson, we’ll learn how to do it in Postgres.

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PostgreSQL