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Название: Learn SQL in a Month of Lunches, 1st Edition (Final Release)
Автор: Jeff Iannucci
Издательство: Manning Publications
Год: 2025
Страниц: 306
Язык: английский
Формат: pdf (true)
Размер: 33.2 MB

Use SQL to get the data you need in no time at all! Learn to read and write basic queries, troubleshoot common problems, and control your own business data in just 24 short lessons–no programming experience required!

In Learn SQL in a Month of Lunches you’ll master useful SQL skills like:

Write your own SQL queries
See only the data you need in large datasets
Easily filter, sort, and cluster data
Master basic data manipulation techniques
Safely create, update, and delete data

Structured Query Language (SQL) is the standard way to get specific datasets out of large relational databases. If you use Excel, Tableau, or PowerBI to crunch business data, you’ve probably seen a lot of SQL already. And guess what? It’s easy to master the most useful parts of SQL! In just a few quick lessons, you can learn to write your own queries, modify existing SQL statements, and add a new superpower to your bag of tricks.

Learn SQL in a Month of Lunches introduces you to the most useful parts of SQL for business data analysis. This practical book gives you instantly-useful techniques starting from the first short chapter. 25-year SQL veteran Jeff Iannucci makes SQL a snap through hands-on lab exercises, relevant code examples, and easy-to-understand language.

About the technology:

For decades, Structured Query Language has been the standard way to talk to relational databases. Unlike many programming languages, SQL is easy to read and understand once you get the hang of it. You don’t need to be a data scientist—or even a tech professional—to master the most powerful features. For business data analysts, learning SQL empowers you to create better reports, uncover market insights, and freely explore large databases on your own.

About the book:
Learn SQL in a Month of Lunches introduces SQL to data analysts and other aspiring data pros with no prior experience using relational databases. In it, you’ll complete 24 short lessons, each of which teaches an essential SQL skill for retrieving, filtering, and analyzing data. You’ll practice each new technique with a friendly hands-on lab designed to take about 15 minutes, as you learn to write queries that deliver the exact data you need. Along the way, you’ll build a valuable intuition for how databases operate in real business scenarios.

What's inside:

Get the data you need from any relational database
Filter, sort, and group data
Combine data from multiple tables
Create, update, and delete data

About the reader:
For students, aspiring data analysts, software developers, and anyone else who wants to work with relational databases.

Unlike most books about programming languages, Learn SQL in a Month of Lunches was written to make learning easy and accessible to all SQL beginners, regardless of their experience with programming languages. It emphasizes practical ways to use the language, helping you quickly learn the necessary skills to work with data in relational databases.

If you’re a non-IT professional who needs to collect data for clients, supervisors, or anyone else who needs to make data-driven decisions, this book is for you. I’ve had the opportunity to work with colleagues in all sorts of professions who needed to use data, and I haven’t met anyone who couldn’t learn how to write functional SQL queries. I often say that if you’ve worked with spreadsheet products like Microsoft Excel and Google Sheets, you should have little difficulty working with relational databases and the SQL language.

That said, if you’re a software developer or another type of IT professional who needs to learn the SQL language, this book still offers value to help you get up to speed quickly. Although the book is designed to help even absolute beginners, you shouldn’t find it patronizing. I’m confident that the exceptions and warnings in each chapter will help make your SQL more effective and efficient than that of most others who use SQL.

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