Exercises on Relational Database Theory PDF Download

Author:
Publisher: Bookboon
ISBN: 8776817571
Category :
Languages : en
Pages : 85

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Author: Kadri Ouahab
Publisher: GRIN Verlag
ISBN: 3668608474
Category : Business & Economics
Languages : en
Pages : 58

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Book Description
Exam Revision from the year 2017 in the subject Information Management, , course: Relational database, language: English, abstract: This course is intended for computing sophomores and aims at presenting basic principles of relational DBMS and the practice of these fundamentals. The course content is mainly the following: Chapter 1: Introduction to databases Chapter 2: Relational Model Chapter 3: Relational Algebra Chapter 4: Standardization Chapter 5: SQL Language Chapter 6: Practical work A set of exercises are included at the end of the document. We added a tutorial section and directed to allow students to apply the concepts learned in the five chapters.

Author: Suzanne Wagner Dietrich
Publisher: Pearson Education
ISBN: 9780130428981
Category : Computers
Languages : en
Pages : 330

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Book Description
This text goes beyond the relational coverage of a typical first course in databases. Dietrich and Urban include object-oriented conceptual data modeling, object oriented databases, and databases and the Web. Topic coverage is in-depth and accessible to undergraduates as well as graduate CS students. Teachers can select the topics that best fit their course.

Author: Stefan Stanczyk
Publisher: CRC Press
ISBN: 0203164563
Category : Computers
Languages : en
Pages : 264

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Book Description
The study of relationship databases is a core component of virtually every undergraduate computer science degree course. This new edition of Theory and Practice of Relationship Databases retains all the features that made the previous edition such as success, and goes on to give even more comprehensive and informative coverage. Written in a tutorial style and containing a great many examples and exercises as well as extensively using illustrative and explanatory graphics, the author has produced an undergraduate textbook of great depth and clarity that is very easy to follow. The subject of relational databases is brought to life by the writing style and the inclusion of an homogenous case study that reinforces the issues dealt with in each chapter. The primary objective of the book is to present a comprehensive explanation of the process of development of database application systems within the framework of a set processing paradigm. Since the majority of these applications are built as relationship systems, a complete though reasonably concise account of that model is presented. Dr. Stanczyk has achieved this by concentrating on the issues that contribute significantly to the application development while de-emphasizing purely theoretical aspects of the subject. This has led to an imaginative and highly practical textbook that will be an excellent read for the undergraduate computer science student.

Author: Hugh Darwen
Publisher: Bookboon
ISBN: 8776815005
Category : Relational databases
Languages : en
Pages : 239

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Author: C. Date
Publisher: "O'Reilly Media, Inc."
ISBN: 1449316409
Category : Computers
Languages : en
Pages : 447

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Book Description
SQL is full of difficulties and traps for the unwary. You can avoid them if you understand relational theory, but only if you know how to put the theory into practice. In this insightful book, author C.J. Date explains relational theory in depth, and demonstrates through numerous examples and exercises how you can apply it directly to your use of SQL. This second edition includes new material on recursive queries, “missing information” without nulls, new update operators, and topics such as aggregate operators, grouping and ungrouping, and view updating. If you have a modest-to-advanced background in SQL, you’ll learn how to deal with a host of common SQL dilemmas. Why is proper column naming so important? Nulls in your database are causing you to get wrong answers. Why? What can you do about it? Is it possible to write an SQL query to find employees who have never been in the same department for more than six months at a time? SQL supports “quantified comparisons,” but they’re better avoided. Why? How do you avoid them? Constraints are crucially important, but most SQL products don’t support them properly. What can you do to resolve this situation? Database theory and practice have evolved since the relational model was developed more than 40 years ago. SQL and Relational Theory draws on decades of research to present the most up-to-date treatment of SQL available. C.J. Date has a stature that is unique within the database industry. A prolific writer well known for the bestselling textbook An Introduction to Database Systems (Addison-Wesley), he has an exceptionally clear style when writing about complex principles and theory.

Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
ISBN: 1491910364
Category : Computers
Languages : en
Pages : 521

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Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

Author: Damon Parker
Publisher: Damon Parker
ISBN:
Category : Computers
Languages : en
Pages : 121

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Book Description
The big tech companies are increasingly relying on the database management systems to store and maintain the massive volume of data generated by our digital lives. The Relational Database Management System (RDBMS) is extensively used by these tech giants to not only store the large volume of data but as an advanced tool to gain insight from massive volume of data generated by our increasingly digital lives. The Structured Query Language (SQL) is the language of choice to define, manipulate, control and query the data within a RDBMS. This book is written to serve as your personal guide so you can efficiently and effectively learn and write SQL statements or queries to retrieve from and update data on relational databases such as MySQL. You will be able to install the free and open MySQL user interface with the instructions provided in this book. This will allow you to get hands-on practice utilizing a variety of exercises included in this book, so you will be able to create not only correct but efficient SQL queries to succeed at work and ace those job interview questions. Some of the highlights of this book are: - Foundational concepts of SQL language as well as 5 fundamental types of SQL queries namely - Learn the thumb rules for building SQL syntax or query - A variety of SQL data types that are a pre-requisite for learning SQL - Overview of a wide range of user interfaces available with MySQL servers - Learn how to create an effective database on the MySQL server - Learn the concept of temporary tables, derived tables and how you can create a new table from an existing one - Learn how to create new user accounts, update the user password as needed, grant and revoke access privileges - Learn CREATE VIEW, MERGE, TEMPTABLE, UNDEFINED, Updatable SQL Views and ALTER VIEW - The properties of SQL transactions as well as various SQL transaction statements with controlling clauses Don't miss the opportunity to quickly learn a programming language like SQL. Don't you think it can be that easy? If you really want to have proof of all this, don't waste any more time! Grab your copy now!

Author: Ron Rogerson
Publisher: Lulu.com
ISBN: 0359518044
Category : Computers
Languages : en
Pages : 326

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Book Description
Half a century after they were first described, relational database systems remain by far the most popular choice for the storage of large datasets. The book describes the practical and theoretical reasons why this is so, and goes on to show how to analyse a data requirement and use it to design and develop a database. Through a series of practical exercises, it teaches SQL using a freely downloadable database system (SAP SQL Anywhere? for Windows 7 and above, MacOS 10.9 and above, and Linux) It is aimed principally at software engineers aiming to make a first move into SQL programming or database management, students of computing or computer science where an understanding of SQL/relational databases may be a prerequisite for the courses they are following or plan to follow, and technical managers needing a grasp of SQL/relational databases. The author taught the subject for more than two decades, as a course tutor for the UK Open University. He is a Fellow of the Higher Education Academy.

Author: Antonio Badia
Publisher: Springer Nature
ISBN: 3030575926
Category : Computers
Languages : en
Pages : 290

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Book Description
This textbook explains SQL within the context of data science and introduces the different parts of SQL as they are needed for the tasks usually carried out during data analysis. Using the framework of the data life cycle, it focuses on the steps that are very often given the short shift in traditional textbooks, like data loading, cleaning and pre-processing. The book is organized as follows. Chapter 1 describes the data life cycle, i.e. the sequence of stages from data acquisition to archiving, that data goes through as it is prepared and then actually analyzed, together with the different activities that take place at each stage. Chapter 2 gets into databases proper, explaining how relational databases organize data. Non-traditional data, like XML and text, are also covered. Chapter 3 introduces SQL queries, but unlike traditional textbooks, queries and their parts are described around typical data analysis tasks like data exploration, cleaning and transformation. Chapter 4 introduces some basic techniques for data analysis and shows how SQL can be used for some simple analyses without too much complication. Chapter 5 introduces additional SQL constructs that are important in a variety of situations and thus completes the coverage of SQL queries. Lastly, chapter 6 briefly explains how to use SQL from within R and from within Python programs. It focuses on how these languages can interact with a database, and how what has been learned about SQL can be leveraged to make life easier when using R or Python. All chapters contain a lot of examples and exercises on the way, and readers are encouraged to install the two open-source database systems (MySQL and Postgres) that are used throughout the book in order to practice and work on the exercises, because simply reading the book is much less useful than actually using it. This book is for anyone interested in data science and/or databases. It just demands a bit of computer fluency, but no specific background on databases or data analysis. All concepts are introduced intuitively and with a minimum of specialized jargon. After going through this book, readers should be able to profitably learn more about data mining, machine learning, and database management from more advanced textbooks and courses.