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16.5 MB
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C1A7357D2CC0FACFF46DB6E23B4850D200E94736
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July 19, 2025, 10:05 a.m.
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(Last updated: July 19, 2025, 10:07 a.m.)
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| ['Koseoglu K. SQL. The Practical Guide to Master Relational Databases,...2025.pdf'] | 0 bytes |
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2025-07-19
| Uploaded by andryold1 | Size 16.5 MB | Health [ 41 /34 ] | Added 2025-07-19 |
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SOURCE: Koseoglu K. SQL. The Practical Guide to Master Relational Databases,...2025
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MEDIAINFO
Textbook in PDF format Whether you’re managing large datasets or writing your first query, build your SQL skills with this practical guide! Learn the basic elements of relational databases and walk through the syntax, features, and applications of SQL. Then dive into the sublanguages of SQL and apply them for tasks such as modifying tables and querying data. See SQL in action with an example PostgreSQL database and detailed code samples from real-world applications! Master SQL programming for database management and manipulation Learn to use the five SQL sublanguages: DDL, DML, TCL, DQL, and DCL Define schemas and tables; modify and query data; and configure database authorizations Relational Database Elements Understand the fundamentals of relational databases and schemas. Learn the elements of database structures, from tables to views to keys. Then review more advanced concepts like normalization, stored procedures, triggers, and authorization. Structured Query Language (SQL) is a programming language that’s used to manage, manipulate, and query contents of relational database systems. SQL was one of the first languages to target E.F. Codd’s relational model. Mind you that SQL is not a general-purpose language like Python, Java, or Rust. It’s rather a domain-specific language (DSL) tailored to a specific goal. In our case, the goal of SQL is to manage and query relational databases, nothing more. But since SQL is the de facto standard for that purpose, it’s widely used in conjunction with general-purpose languages. For example, a developer might code the business logic of their app in Python while coding the data manipulation part in SQL. However, you don’t need to be a programmer to enjoy SQL! Many nonprogrammers simply use a database app or tool to connect to a database and execute handwritten SQL code to achieve the results they want. For instance, business users and data scientists often query databases to extract meaningful data to support their tasks. The declarative nature of SQL makes it approachable by a wide audience. Preface Introduction Basic Elements of Relational Databases Setting Up the Environment Data Definition Language Data Manipulation Language Data Manipulation Language Transaction Control Language Data Query Language Data Control Language Conclusion A Entity-Relationship Diagrams B Tips and Tricks
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