For Database Systems and Database Design and Application courses offered at the junior, senior and graduate levels in Computer Science departments. Written by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems. The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimisation than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques.

Would You Like to Learn the SQL Programming Language In A Day? What is SQL? How can it benefit you? What will it take for you to learn this language? When you purchase SQL Programming: Programing Language for Beginners - Learn in a Day!, you can quickly learn the basics of this essential skill! These fun and easy tips transform the dreaded chore of learning a new programming language into a fun hobby. You'll be proud to show off your new abilities to your friends, coworkers, and family! How do you get started with SQL? What will you learn? SQL Programming: Programing Language for Beginners - Learn in a Day! helps you understand: Table Basics The SELECT Statement Using Clauses Combining Conditions and Boolean Operators The Importance of Table Joins Lots more! Purchase SQL Programming: Programing Language for Beginners - Learn in a Day! now, and change your computer programming life forever!

Updates the premier textbook for students and librarians needing to know the landscape of current databases and how to search them. Librarians need to know of existing databases, and they must be able to teach search capabilities and strategies to library users. This practical guide introduces librarians to a broad spectrum of fee-based and freely available databases and explains how to teach them. The updated 6th edition of this well-regarded text covers new databases on the market as well as updates to older databases. It also explains underlying information structures and demonstrates how to search most effectively. It introduces readers to several recent changes, such as the move away from metadata-based indexing to full text indexing by vendors covering newspaper content. Business databases receive greater emphasis. As in the previous edition, this book takes a real-world approach, covering topics from basic and advanced search tools to online subject databases. Each chapter includes a thorough discussion, a recap, concrete examples, exercises, and points to consider, making it an ideal text for courses in database searching as well as a trustworthy professional resource. Helps librarians and students understand the latest developments in library databases Looks not only at textual databases but also numerical, image, video, and social media resources Includes changes and trends in database functionality since the 5th edition

The significance of big data can be observed in any decision-making process as it is often used for forecasting and predictive analytics. Additionally, big data can be used to build a holistic view of an enterprise through a collection and analysis of large data sets retrospectively. As the data deluge deepens, new methods for analyzing, comprehending, and making use of big data become necessary. Enterprise Big Data Engineering, Analytics, and Management presents novel methodologies and practical approaches to engineering, managing, and analyzing large-scale data sets with a focus on enterprise applications and implementation. Featuring essential big data concepts including data mining, artificial intelligence, and information extraction, this publication provides a platform for retargeting the current research available in the field. Data analysts, IT professionals, researchers, and graduate-level students will find the timely research presented in this publication essential to furthering their knowledge in the field.

Joe Celko has looked deep into the code of SQL programmers and found a consistent and troubling pattern - a frightening lack of consistency between their individual encoding schemes and those of the industries in which they operate. This translates into a series of incompatible databases, each one an island unto itself that is unable to share information with others in an age of internationalization and business interdependence. Such incompatibility severely hinders information flow and the quality of company data.
Data, Measurements and Standards in SQL reveals the shift these programmers need to make to overcome this deadlock. By collecting and detailing the diverse standards of myriad industries, and then giving a declaration for the units that can be used in an SQL schema, Celko enables readers to write and implement portable data that can interface to any number of external application systems
This book doesn't limit itself to one subject, but serves as a detailed synopsis of measurement scales and data standards for all industries, thereby giving RDBMS programmers and designers the knowledge and know-how they need to communicate effectively across business boundaries.
* Collects and details the diverse data standards of myriad industries under one cover, thereby creating a definitive, one-stop-shopping opportunity for database programmers.
* Enables readers to write and implement portable data that can interface to any number external application systems, allowing readers to cross business boundaries and move up the career ladder.
* Expert advice from one of the most-read SQL authors in the world who is well known for his ten years of service on the ANSI SQL standards committee and Readers Choice Award winning column in Intelligent Enterprise.
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This book is the best way to make the leap from SQL-92 to SQL: 1999, but it is much more than just a simple bridge between the two. The latest from celebrated SQL experts Jim Melton and Alan Simon, "SQL: 1999" is a comprehensive, eminently practical account of SQL's latest incarnation and a potent distillation of the details required to put it to work. Written to accommodate both novice and experienced SQL users, "SQL: 1999" focuses on the language's capabilities, from the basic to the advanced, and the way that real applications take advantage of them. Throughout, the authors illustrate features and techniques with clear and often entertaining references to their own custom database, which can be downloaded from the companion Web site.
* Gives authoritative coverage from an expert team that includes the editor of the SQL-92 and SQL: 1999 standards.
* Provides a general introduction to SQL that helps you understand its constituent parts, history, and place in the realm of computer languages.
* Explains SQL: 1999's more sophisticated features, including advanced value expressions, predicates, advanced SQL query expressions, and support for active databases.
* Explores key issues for programmers linking applications to SQL databases.
* Provides guidance on troubleshooting, internationalization, and changes anticipated in the next version of SQL.
* Contains appendices devoted to database design, a complete SQL: 1999 example, the standardization process, and more.

This volume aims to present recent advances in database technology from the viewpoint of the novel database paradigms proposed in the last decade. It focuses on the theory of the extended relational model, and an example of an extended relational database programming language, Algres, is described. A free copy of Algres complements this work, and is available on the Internet. The work should be of interest to graduate studen ts following advanced database courses, advanced data-oriented applications developers, and researchers in the field of database programming languages and software engineering who need a flexible prototyping platform for the development of software tools.

"Time and Relational Theory" provides an in-depth description of temporal database systems, which provide special facilities for storing, querying, and updating historical and future data. Traditionally, database management systems provide little or no special support for temporal data at all. This situation is changing because: Cheap storage enables retention of large volumes of historical data in data warehousesUsers are now faced with temporal data problems, and need solutions Temporal features have recently been incorporated into the SQL standard, and vendors have begun to add temporal support to their DBMS products

Based on the groundbreaking text "Temporal Data & the Relational Model" (Morgan Kaufmann, 2002) and new research led by the authors, "Time and Relational Theory" is the only book to offer a complete overview of the functionality of a temporal DBMS. Expert authors Nikos Lorentzos, Hugh Darwen, and Chris Date describe an approach to temporal database management that is firmly rooted in classical relational theory and will stand the test of time.

This book covers the SQL:2011 temporal extensions in depth and identifies and discusses the temporal functionality still missing from SQL.
Understand how the relational model provides an ideal basis for taming the complexities of temporal databases Learn how to analyze and evaluate commercial temporal products with this timely and important information Be able to use sound principles in designing and using temporal databases Understand the temporal support recently added to SQL with coverage of the new SQL features in this unique, accurate, and authoritative reference Appreciate the benefits of a truly relational approach to the problem with this clear, user friendly presentation

'Rough Computing' explores the application of rough set theory, which has attracted attention because of the ability to enhance databases by allowing for the management of uncertainty, a comparative analysis between rough sets, and other intelligent data analysis.

SQL Server 2008 is the latest update to Microsoft's flagship database management system. This is the largest update since SQL Server 2005, and it brings increased ability to deliver data across more platforms, and thus many different types of devices. New functionality also allows for easy storage and retrieval of digitized images and video. These attributes address the recent explosion in the popularity of web-based video and server and desktop virtualization. The Real MCTS SQL Server 2008 Exam 70-433 Prep Kit prepares readers for the Microsoft Certified Technology Specialist exam: SQL Server 2008, Database Development. This is a new exam in the SQL Server product family, and is comprised of some objectives from exam 70-431 from SQL Server 2005, and covers new, expanded query capabilities in SQL Server 2008. According to Microsoft: Exam 70-431 for SQL Server 2005 was passed by over 35,000 people.

150,000 people passed a similar exam for SQL Server 2000.

Additionally, this exam is a pre-requisite for those going on to obtain the MCITP: Database Developer 2008:

Successful candidates for the SQL Server 2005 MCITP 2,500.

The Prep Kit offers practice exams via the book's companion site.
This is The 'Real' Microsoft Exam Prep Kit, and provides the reader with independent and unbiased exam tips and warnings everything they need to know to ensure certification success.Authored by Mark Horninger, a nationally recognized leader in SQL Server with over 50 Microsoft certifications to his credit; Mark knows what it takes to successfully navigate Microsoft exams.Complete study package offers Syngress proven pedagogy including practice exams via the book s companion site
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This book provides comprehensive coverage of fundamentals of database management system. It contains a detailed description on Relational Database Management System Concepts. There are a variety of solved examples and review questions with solutions. This book is for those who require a better understanding of relational data modeling, its purpose, its nature, and the standards used in creating relational data model.

Maintaining SQL Server 2005 high availability in a global information environment is the database administrators greatest practical challenge. Availability is as much about people and processes as it is about technology. Microsoft SQL Server 2005 High Availability covers the technology, people, processes, and real-world best practices for planning, deploying, administering, and maintaining highly available SQL Server 2005 instances. With years of experience as a database consultant and production DBA, Allan Hirt provides in-depth, detailed advice on what it takes to ensure SQL Server high availability for businesses of any size. This is not an academic text; its not based on lab experiments, but on real-world experience. This book is a dramatic update and revision of the authors previous best-seller on SQL Server 2000. It gives sound guidance to DBAs and system administrators on how to really get the job done.

* With Oracle 10g, for the first time, much of the Spatial functionality is provided for free (rather than as a priced option) in the database, thus massively increasing the potential audience. * Shows how any Oracle application that has a spatial element (e.g. postcode) can take advantage of Spatial functionality. * Contains case studies of more advanced applications of Spatial in healthcare, telecom ,retail, and distribution . * Oracle Spatial is recognized to be the standard platform for enterprise land management, mapping, telecom, transportation, and utility applications. Every major GIS tool vendor supports Oracle Spatial and all major map data providers deliver their data in Oracle Spatial format. * The book will be based on extensive feedback from training courses, discussion lists, and customers. It will recommend best practice approaches to the most common problems with which developers struggle. * The authors are all experienced and well-respected experts. The Oracle personnel contributing have a decade of experience with Spatial and in helping partners and customers fully leverage its capabilities. The technical reviewers include lead developers of the product. * Rather than simplified code snippets, the book provides real solutions that people can then build upon themselves.

"The Definitive Guide to SQLite" is the perfect book about SQLite. It covers everything needed to start working with SQLite including installation, using the SQLite shell, and programming with SQLite using six different language extensions. -- Joe Topjian, Adminspotting

Traditional relational databases and embedded databases both have shortcomings that can leave a developer perplexed. So for many people, the solution resides in SQLite, an open source embeddable database with an amazingly small footprint (less than 250 kilobytes). SQLite packs a powerful array of features and can handle databases as large as 2 terabytes. It offers a flexible set of datatypes and the ability to perform transactions, and it is supported by languages like C, PHP, Perl, and Python. And because SQLite's databases are completely file based, privileges are granted at the operating system level, allowing for easy and fast user management.

"The Definitive Guide to SQLite" is the first book to devote complete coverage to the latest version of this powerful database. It offers you a thorough overview of SQLite capabilities and APIs, while remaining cognizant of newcomers who may be making their first foray into a database environment with SQLite. This book serves as both a first-time tutorial and future reference guide." Youll learn about SQLite extensions available for C, Java, Perl, PHP, Python, Ruby, and Tcl. The book thoroughly covers SQLite internals to help you take full advantage of its features while minimally impacting resource consumption. Author Mike Owens is the original creator of Pysqlite, the popular Python extension for SQLite.

This book covers the basic statistical and analytical techniques of computer intrusion detection. It is aimed at both statisticians looking to become involved in the data analysis aspects of computer security and computer scientists looking to expand their toolbox of techniques for detecting intruders. The book is self-contained, assumng no expertise in either computer security or statistics. It begins with a description of the basics of TCP/IP, followed by chapters dealing with network traffic analysis, network monitoring for intrusion detection, host based intrusion detection, and computer viruses and other malicious code. Each section develops the necessary tools as needed. There is an extensive discussion of visualization as it relates to network data and intrusion detection. The book also contains a large bibliography covering the statistical, machine learning, and pattern recognition literature related to network monitoring and intrusion detection. David Marchette is a scientist at the Naval Surface Warfacre Center in Dalhgren, Virginia. He has worked at Navy labs for 15 years, doing research in pattern recognition, computational statistics, and image analysis. He has been a fellow by courtesy in the mathematical sciences department of the Johns Hopkins University since 2000. He has been working in conputer intrusion detection for several years, focusing on statistical methods for anomaly detection and visualization. Dr. Marchette received a Masters in Mathematics from the University of California, San Diego in 1982 and a Ph.D. in Computational Sciences and Informatics from George Mason University in 1996.

To satisfy the demand for 24/7 information access, applications available in airport and conference kiosks, and in the mobile, gaming, and medical industries, provide consumers data access wherever they are. But its essential that fast availability not be traded for quality performance.

A prominent solution for managing the data in these applications and devices is db4othe open source object database native to the Java and .NET platforms. Highly reliable and scalable, db4o cuts down on development time by smoothly integrating into the system, cutting out the otherwise costly object-relational mapping typical of larger applications.

"The Definitive Guide to db4o" is the first book to comprehensively cover this project in detail. You will learn about all relevant topics, including installing and configuring db4o, querying and managing objects, performing transactions, and replicating data. To aid newcomers to the topic, early chapters cover object database fundamentals, as well as technical considerations and migration strategies. The book is complete with numerous C# and Java examples, so youll be able to follow along regardless of your chosen language.

Object-oriented database management systems (OODBMS) are used to imple ment and maintain large object databases on persistent storage. Regardless whether the underlying database model follows the object-oriented, the rela tional or the object-relational paradigm, a key feature of any DBMS product is content based access to data sets. On the one hand this feature provides user-friendly query interfaces based on predicates to describe the desired data. On the other hand it poses challenging questions regarding DBMS design and implementation as well as the application development process on top of the DBMS. The reason for the latter is that the actual query performance depends on a technically meaningful use of access support mechanisms. In particular, if chosen and applied properly, such a mechanism speeds up the execution of predicate based queries. In the object-oriented world, such queries may involve arbitrarily complex terms referring to inheritance hierarchies and aggregation paths. These features are attractive at the application level, however, they increase the complexity of appropriate access support mechanisms which are known to be technically non-trivial in the relational world."

IBM's DB2 Express Edition is one of the most capable of the free database platforms available in today's marketplace. In Beginning DB2, author Grant Allen gets you started using DB2 Express Edition for web sites, desktop applications, and more. The author covers the basics of DB2 for developers and database administrators, shows you how to manage data in both XML and relational form, and includes numerous code examples so that you are never in doubt as to how things work. In this book, you'll find: A friendly introduction to DB2 Express Edition, an industrialstrength, relational database from IBM Dozens of examples so that you are never in doubt as to how things work Coverage of important language interfaces, such as from PHP, Ruby, C#, Python, and more

The book is aimed at developers who want a robust database to back their applications. What you'll learn Install and manage DB2 Express Edition on Linux and WindowsManage IML data seamlessly using IBM's pureXML storage engineConnect DB2 databases to web and desktop applications via languages such as PHP, Ruby, C#, Python, and moreProtect your data with a sound backup and restore strategyDesign and manage database schema and security within the databaseKnow when and why to upgrade to more powerful editions of DB2 Who this book is for

Application developers, including web application developers, looking for a robust, zero-cost database to back their applications; database administrators looking to get up to speed quickly with DB2.

This book is the first comprehensive survey of the field of constraint databases, written by leading researchers. Constraint databases are a fairly new and active area of database research. The key idea is that constraints, such as linear or polynomial equations, are used to represent large, or even infinite, sets in a compact way. The ability to deal with infinite sets makes constraint databases particularly promising as a technology for integrating spatial and temporal data with standard relational databases. Constraint databases bring techniques from a variety of fields, such as logic and model theory, algebraic and computational geometry, as well as symbolic computation, to the design and analysis of data models and query languages.

The PACE System: An Expert Consulting System for Nursing provides a case study of the research, design, implementation, and commercial distribution of this decision support system. Beginning with a summary of PACE's twenty year development and its start as a university-based system, the author contrasts the original system with its current version to give a concrete understanding of its evolution. Further chapters discuss issues in the initial development of the knowledge base; the specific activities and efforts needed to acquire, maintain, and manage the knowledge base; how the network is maintained. The implementation, distribution, and subsequent validation of the entire clinical system is reviewed. Principles and lessons from the development of PACE are analyzed with the hope that today's researchers and developers will glean useful information from these earlier efforts.

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you will learn how to plan and build systems to serve the needs of your organization and customers by evaluating the best technologies available in the framework of the data engineering lifecycle. Authors Joe Reis and Matt Housley walk you through the data engineering lifecycle and show you how to stitch together a variety of cloud technologies to serve the needs of downstream data consumers. You will understand how to apply the concepts of data generation, ingestion, orchestration, transformation, storage, governance, and deployment that are critical in any data environment regardless of the underlying technology. This book will help you: Assess data engineering problems using an end-to-end data framework of best practices Cut through marketing hype when choosing data technologies, architecture, and processes Use the data engineering lifecycle to design and build a robust architecture Incorporate data governance and security across the data engineering lifecycle

The book provides a unified presentation of algorithms for association rule and sequential pattern discovery. For both mining problems, the presentation relies on the lattice structure of the search space. All algorithms are built as processes running on this structure. Proving their properties takes advantage of the mathematical properties of the structure. Mining for association rules and sequential patterns is known to be a problem with large computational complexity. The issue of designing efficient parallel algorithms should be considered as critical. Most algorithms in the book are devised for both sequential and parallel execution. Parallel algorithm design takes advantage of the lattice structure of the search space. Partitioning is performed via lattice recursive bisection. Database partitioning is also used as an additional source of parallelism.Part of the motivation for writing this book was postgraduate teaching. Since the book only assumes elementary mathematical knowledge in the domains of lattices, combinatorial optimization, probability calculus, and statistics, it is fit for use by undergraduate students as well. The algorithms are described in a C-like pseudo programming language. The computations are shown in great detail. This makes the book also fit for use by implementers: computer scientists in many domains as well as industry engineers.