Second edition of the best-selling Practical SQL. An approachable guide to programming in SQL (Structured Query Language) that will teach even beginning programmers how to build powerful databases and analyze data to find meaningful information.
Rezensionen / Stimmen
"Even better than the previous edition!"
-Jakub Romanowski, LearnSQL.com
"This book is comprehensive, well organized, and contains almost everything a new developer needs to learn SQL using Postgres. Besides, the arrangement of the sections is logical, and the writing style is not complicated where information is supported by the required examples and images, in addition to evidence from the writer's practical experiences."
-Hadi Fadlallah, SQLShack
"[W]ell-written and informative . . . an extremely enjoyable book that will keep the reader engaged with interesting, thought-provoking exercises . . . I highly recommend Practical SQL, 2nd Edition to anyone wanting to learn PostgreSQL and how to tell stories with data."
-Joshua Allen Holm, Opensource.com
REVIEWS FOR THE FIRST EDITION:
"This book is comprehensive, well organized, and contains almost everything a new developer needs to learn SQL using Postgres. Besides, the arrangement of the sections is logical, and the writing style is not complicated where information is supported by the required examples and images, in addition to evidence from the writer's practical experiences."
-Hadi Fadlallah, SQLShack
"One of the best-organized travelogues we've seen into the SQL realm."
-Newstips Bulletin
"More fun and more engaging [than Learning SQL from O'Reilly]."
-Giles McMullen-Klein, Python Programmer, YouTuber
"Practical SQL will take you from an absolute databases beginner towards becoming a database and SQL master. This book is one of those books that you feel like [you're] reading a novel, not a technical book. It uses an easy to follow and [understandable] approach that makes it easy to read for people from all backgrounds."
-Sara A. Metwalli, Towards Data Science
"I recommend reading Practical SQL by Anthony DeBarros for a more in-depth look on how to implement regression analysis and other analytical tools using SQL."
-Michael Grogan, Towards Data Science
"One of the most interesting books about SQL I've ever read. At first glance, it looks like a guide for complete rookies. But the author raises topics that will interest advanced users."
-Jakub Romanowski, LearnSQL.com
Auflage
Sprache
Verlagsort
Maße
Höhe: 176 mm
Breite: 233 mm
Dicke: 25 mm
Gewicht
ISBN-13
978-1-7185-0106-5 (9781718501065)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Anthony DeBarros is a longtime journalist who has combined his interests in data analysis, coding, software product development, and storytelling for much of his career. He is a data news editor for The Wall Street Journal, focusing on topics such as the economy, trade, the U.S. Census, and politics. He previously held positions with USA TODAY, the Poughkeepsie Journal, and the DocumentCloud project for Investigative Reporters and Editors. His work has received multiple honors, including a prestigious Silver Baton from the Alfred I. duPont-Columbia University Awards.
Introduction
1. Setting up pgAdmin
2. Creating Your First Database and Table
3. Beginning Data Exploration with SELECT
4. Understanding Data Types
5. Importing and Exporting Data
6. Basic Math and Stats
7. Joining Tables in a Relational Database
8. Table Design that Works for You
9. Extracting Information by Grouping and Summarizing
10. Inspecting and Modifying Data
11. Statistical Functions in SQL
12. Working with Dates and Times
13. Advanced Query Techniques
14. Mining Text to Find Meaningful Data
15. Analyzing Spatial Data with PostGIS
16. Working with JSON Data
17. Saving Time with Views, Functions, and Triggers
18. Using PostgreSQL from the Command Line
19. Maintaining Your Database
20. Identifying and Telling the Story Behind Your Data
Appendix A. Additional Resources
