SQL Pocket Guide: A Guide to SQL Usage
ISBN-13:
9781492090403
ISBN-10:
1492090409
Edition:
4
Author:
Alice Zhao
Publication date:
2021
Publisher:
O'Reilly Media
Format:
Paperback
354 pages
Category:
Data Modeling & Design
,
Databases & Big Data
,
Data Mining
,
Data Warehousing
,
SQL
,
MySQL
,
Programming Languages
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Book details
ISBN-13:
9781492090403
ISBN-10:
1492090409
Edition:
4
Author:
Alice Zhao
Publication date:
2021
Publisher:
O'Reilly Media
Format:
Paperback
354 pages
Category:
Data Modeling & Design
,
Databases & Big Data
,
Data Mining
,
Data Warehousing
,
SQL
,
MySQL
,
Programming Languages
Summary
SQL Pocket Guide: A Guide to SQL Usage (ISBN-13: 9781492090403 and ISBN-10: 1492090409), written by authors
Alice Zhao, was published by O'Reilly Media in 2021.
With an overall rating of 3.9 stars, it's a notable title among other
Data Modeling & Design
(Databases & Big Data, Data Mining, Data Warehousing, SQL, MySQL, Programming Languages) books. You can easily purchase or rent SQL Pocket Guide: A Guide to SQL Usage (Paperback) from BooksRun,
along with many other new and used
Data Modeling & Design
books
and textbooks.
And, if you're looking to sell your copy, our current buyback offer is $11.47.
Description
If you use SQL in your day-to-day work as a data analyst, data scientist, or data engineer, this popular pocket guide is your ideal on-the-job reference. You'll find many examples that address the language's complexities, along with key aspects of SQL used in Microsoft SQL Server, MySQL, Oracle Database, PostgreSQL, and SQLite.
In this updated edition, author Alice Zhao describes how these database management systems implement SQL syntax for both querying and making changes to a database. You'll find details on data types and conversions, regular expression syntax, window functions, pivoting and unpivoting, and more.
- Quickly look up how to perform specific tasks using SQL
- Apply the book's syntax examples to your own queries
- Update SQL queries to work in five different database management systems
- NEW: Connect Python and R to a relational database
- NEW: Look up frequently asked SQL questions in the "How Do I?" chapter
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