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Item #:
39526442
SQL Pocket Guide: A Guide to SQL Usage
86% of respondents would recommend this to a friend
Item #:
39526442
XAF 20173
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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.
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What Stands Out
Comprehensive Resource
This guide offers an extensive overview of SQL usage, making it an ideal reference for both beginners and experienced users, ensuring a thorough understanding of SQL principles and practices.
Practical Examples
The book includes practical examples and real-world scenarios that enable readers to apply SQL concepts effectively, addressing common challenges faced by database professionals.
Updated Content
As the 4th edition, it provides the latest SQL standards and techniques, keeping users informed about current trends and tools in the database management field, enhancing their skills and knowledge.
Product Details
| Publisher | O'Reilly Media |
| Publication date | October 5, 2021 |
| Edition | 4th |
| Language | English |
| Print length | 354 pages |
| ISBN-10 | 1492090409 |
| ISBN-13 | 978-1492090403 |
| Item Weight | 2.31 pounds (1.05 kg) |
| Dimensions | 4.25 x 0.75 x 7 inches (10.8 x 1.9 x 17.8 cm) |
Who Should Buy?
-
Beginner SQL Users
Ideal for new users who need a concise introduction to SQL concepts and fundamental commands.
-
Database Administrators
Helpful for professionals needing a quick reference for SQL syntax and best practices while managing databases.
-
Students and Learners
Great for students studying database management or related courses, offering clear examples and explanations of SQL.
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Advanced SQL Developers
Not suitable for experienced developers seeking in-depth discussions or advanced topics beyond basic SQL syntax.
Product Description
SQL Pocket Guide: A Guide to SQL Usage
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XAF 20173
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Features & Benefits
- Ideal on-the-job reference for data analysts, data scientists, and data engineers using SQL
- Addresses complexities of SQL and key aspects of SQL in various database management systems
- Includes examples on data types, regular expressions, window functions, pivoting, unpivoting, and more
- Details on performing specific tasks using SQL and updating queries for different database systems
- New sections on connecting Python and R to a relational database and FAQs
- Provides quick syntax examples applicable to real queries
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