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Database System Concepts by Abraham Silberschatz,Henry F. Korth,S. Sudarshan Pdf
Presents the fundamental concepts of database management. This text is suitable for a first course in databases at the junior/senior undergraduate level or the first year graduate level.
Database Concepts by David M. Kroenke,David J. Auer Pdf
For undergraduate database courses. Written by one of the world's leading database authorities, Database Concepts introduces the essential concepts students need to create and use small databases.
ISE Database System Concepts by Abraham Silberschatz,Henry F. Korth,S. Sudarshan Pdf
Database System Concepts by Silberschatz, Korth and Sudarshan is now in its 7th edition and is one of the cornerstone texts of database education. It presents the fundamental concepts of database management in an intuitive manner geared toward allowing students to begin working with databases as quickly as possible. The text is designed for a first course in databases at the junior/senior undergraduate level or the first year graduate level. It also contains additional material that can be used as supplements or as introductory material for an advanced course. Because the authors present concepts as intuitive descriptions, a familiarity with basic data structures, computer organization, and a high-level programming language are the only prerequisites. Important theoretical results are covered, but formal proofs are omitted. In place of proofs, figures and examples are used to suggest why a result is true.
The second edition of this bestselling title is a perfect blend of theoretical knowledge and practical application. It progresses gradually from basic to advance concepts in database management systems, with numerous solved exercises to make learning easier and interesting. New to this edition are discussions on more commercial database management systems.
Database Technologies: Concepts, Methodologies, Tools, and Applications by Erickson, John Pdf
"This reference expands the field of database technologies through four-volumes of in-depth, advanced research articles from nearly 300 of the world's leading professionals"--Provided by publisher.
Principles of Database Management by Wilfried Lemahieu,Seppe vanden Broucke,Bart Baesens Pdf
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.
Database Concepts by David M. Kroenke,David J. Auer Pdf
Written by two of the world's leading database authorities, Database Concepts introduces the essential concepts students need to create and use small databases.
Concepts of Database Management by Philip J. Pratt,Joseph J. Adamski Pdf
CONCEPTS OF DATABASE MANAGEMENT fits perfectly into any introductory database course for information systems, business or CIS programs. This concise text teaches SQL in a database-neutral environment with all major topics being covered, including E-R diagrams, normalization, and database design. Now in its seventh edition, CONCEPTS OF DATABASE MANAGEMENT prepares students for success in their field using real-world cases addressing current issues such as database design, data integrity, concurrent updates, and data security. Special features include detailed coverage of the relational model (including QBE and SQL), normalization and views, database design, database administration and management, and more. Advanced topics covered include distributed databases, data warehouses, stored procedures, triggers, data macros, and Web databases. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Data Mining: Concepts and Techniques by Jiawei Han,Micheline Kamber,Jian Pei Pdf
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data
When it comes to choosing, using, and maintaining a database, understanding its internals is essential. But with so many distributed databases and tools available today, it’s often difficult to understand what each one offers and how they differ. With this practical guide, Alex Petrov guides developers through the concepts behind modern database and storage engine internals. Throughout the book, you’ll explore relevant material gleaned from numerous books, papers, blog posts, and the source code of several open source databases. These resources are listed at the end of parts one and two. You’ll discover that the most significant distinctions among many modern databases reside in subsystems that determine how storage is organized and how data is distributed. This book examines: Storage engines: Explore storage classification and taxonomy, and dive into B-Tree-based and immutable Log Structured storage engines, with differences and use-cases for each Storage building blocks: Learn how database files are organized to build efficient storage, using auxiliary data structures such as Page Cache, Buffer Pool and Write-Ahead Log Distributed systems: Learn step-by-step how nodes and processes connect and build complex communication patterns Database clusters: Which consistency models are commonly used by modern databases and how distributed storage systems achieve consistency
Concepts of Database Management by Philip Pratt,Joseph Adamski Pdf
Extensively covers SQL with numerous examples illustrating the various concepts. Advanced topics such as concurrency issues, distributed databases, data warehouses, stored procedures, triggers, XML, and database processing over the Web are included." --BOOK COVER.
Concepts of Database Management by Philip J. Pratt,Joseph J. Adamski Pdf
Offering a comprehensive introduction to database concepts, with a focus on the relational model of database management, this text makes a great companion for any database application course, or as a "concepts supplement" to a hands-on database management course. No other text has full coverage of the fundamentals of database design and administration in this manageable, nine-chapter format.
Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications by Wang, John Pdf
In recent years, the science of managing and analyzing large datasets has emerged as a critical area of research. In the race to answer vital questions and make knowledgeable decisions, impressive amounts of data are now being generated at a rapid pace, increasing the opportunities and challenges associated with the ability to effectively analyze this data.
