No Starch Press has announced a February 2022 publication for the 2nd Edition of Practical SQL: A Beginner’s Guide to Storytelling with Data. The book’s new page is up with a sample chapter and a link to pre-order.

In this second edition, I’ve added two new chapters. One covers working with JSON in PostgreSQL; it’s designed to introduce readers to the basics of JSON and PostgreSQL’s JSON data types and operators. For analysis, we work with a set of earthquake data from the U.S. Geological Survey’s JSON API. A second new chapter offers an expanded guide to setting up your computer for learning SQL, from PostgreSQL installation to downloading the code examples and using a text editor.

I’ve expanded many chapters to add new sections on, among other things, LATERAL joins, rolling averages, materialized views, set operators, and more. Where possible, I’ve updated data sets—particularly from the U.S. Census. And I’ve benefited from a detailed technical review. All told, this new version of the book is more complete, offers stronger guidance for readers related to software and code, and clarifies information that wasn’t as clear or presented as accurately as it could have been the first time around.

The first edition of Practical SQL is on its sixth printing and has been translated into Polish, Korean, and traditional Chinese. I’m eager to see the updated, expanded, and improved version in stores soon.

This post, on how to analyze an Esri shapefile with PostgreSQL, is adapted from material in my book Practical SQL: A Beginner’s Guide to Storytelling with Data from No Starch Press.

Spend some time digging into geographic information systems (GIS) and soon enough you’ll encounter a shapefile. It’s a GIS file type developed by mapping software firm Esri for use in its popular ArcGIS platform. A shapefile contains the geometric information to describe a shape—a river, road, lake, or town boundary, for example—plus metadata about the shape, such as its name.

Because the shapefile has become a de facto standard for publishing GIS data, other applications and software libraries use shapefiles too, such as the open source QGIS.

While researching GIS topics for a chapter in my book, Practical SQL, I learned that it’s easy to import a shapefile into a PostGIS-enabled PostgreSQL database. The information that describes each shape is stored in a column of data type geometry, and so you can run spatial queries to calculate area, distances, intersections of objects, and more.

Here’s a quick exercise, adapted from the book.

Many thanks to Stephen Frost of Crunchy Data and Brad Sneade of LiveSafe for inviting me to speak about my book Practical SQL at the DC PostgreSQL User Group in early June! The night featured good food, fun conversations, and tales from me on how a journalist came to write a book about PostgreSQL and data analysis.

I shared tips I picked up along the way on using PostGIS, crosstabs, statistics functions, and Python within PostgreSQL—all topics I cover in the book.

The DC PostgreSQL Users Group features a warm, inviting atmosphere. Check out its Meetup page and consider stopping in if you’re in the region.

A few tweets from the evening:

#PostgreSQL meetup at @livesafe. Thanks to @anthonydb for speaking tonight. pic.twitter.com/H4tHtxY4dA

— Brad Sneade (@bsneade) June 4, 2018

Next time, I will bring a bigger screen …

“A Writer’s Journey Into PostgreSQL” presentation by @anthonydb about his book Practical SQL https://t.co/dZzuHHf3fV Code: https://t.co/1u8GkwVRow Meetup: https://t.co/msJrF87F4M pic.twitter.com/u0fMZM3fbI

— Greg Linch (@greglinch) June 4, 2018

I’m thrilled to say that Practical SQL: A Beginner’s Guide to Storytelling with Data is officially released today! The title is published by No Starch Press and distributed via Penguin Random House, which means you can find it wherever books are sold.

From the description:

Practical SQL is an approachable and fast-paced guide to SQL (Structured Query Language), the standard programming language for defining, organizing, and exploring data in relational databases. The book focuses on using SQL to find the story your data tells, with the popular open-source database PostgreSQL and the pgAdmin interface as its primary tools.

Much of Practical SQL is based on the years I spent in newsrooms, including USA TODAY, poring over data sets in search of a story. SQL-driven databases were a central part of my toolkit, allowing me to organize, clean, and find meaning in data sets ranging from a handful of rows up to millions of records across dozens of tables. Today, the language is still widely used, powering thousands upon thousands of software applications.

Please check out the bundle from No Starch that includes a print copy plus ebook versions (PDF, .mobi, and .epub). No Starch Press is a thoughtful company that supports the open source software community, so you can feel good backing them. No Starch often runs promotions, so follow the company on Twitter or get their newsletter for deals.

Of course, you can also order the book through Amazon, and copies should be on shelves at Barnes & Noble or your favorite independent local bookstore.

In coming weeks, I’ll announce some special giveaways, sharing tips from the book, and booking some in-store appearances. Stay tuned.

My first book, Practical SQL: A Beginner’s Guide to Storytelling with Data, is out in early release from No Starch Press starting today! If you pre-order from No Starch, you can download the Introduction and first four chapters now. You’ll get additional chapters regularly until the final version comes out in February 2018.

Practical SQL is for people who encounter data in their everyday lives and want to know how to analyze or transform it. The book covers real-world data and scenarios, from analyzing U.S. Census demographics to the duration of taxi rides in New York City. I’ve aimed the exercises at beginning SQL coders, and all the code and data can be downloaded via No Starch’s site.

That database you’ll use is the free, open-source PostgreSQL, along with the pgAdmin 4 graphical user interface. We cover all the basics you’ll find in standard ANSI SQL along with PostgreSQL-specific features such as full text search and GIS.

More to come as additional chapters hit early release!