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A database is a logically organised collection of related data, generally accessed by a set of programs known as a Database Management System (DBMS), which oversees the creation and use of the database and controls access to the data. The organisation of a database obviates the need to duplicate information to meet the various requirements of different groups of users, and ensures that the data always remains consistent. A large database requires extensive storage facilities. In some organisations and services, databases can be accessed over networks from microcomputers or as videotex. 'Relational' databases and hypertext techniques include extensive and complex cross-reference facilities so that information on related items may be retrieved. Many database programs have been designed to run on micro-computers. Some of these contain computer languages that enable users to change the operation of the database to suit their requirements.
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
This third edition of a classic textbook can be used to teach at the senior undergraduate and graduate levels. The material concentrates on fundamental theories as well as techniques and algorithms. The advent of the Internet and the World Wide Web, and, more recently, the emergence of cloud computing and streaming data applications, has forced a renewal of interest in distributed and parallel data management, while, at the same time, requiring a rethinking of some of the traditional techniques. This book covers the breadth and depth of this re-emerging field. The coverage consists of two parts. The first part discusses the fundamental principles of distributed data management and includes distribution design, data integration, distributed query processing and optimization, distributed transaction management, and replication. The second part focuses on more advanced topics and includes discussion of parallel database systems, distributed object management, peer-to-peer data management, web data management, data stream systems, and cloud computing. New in this Edition: • New chapters, covering database replication, database integration, multidatabase query processing, peer-to-peer data management, and web data management. • Coverage of emerging topics such as data streams and cloud computing • Extensive revisions and updates based on years of class testing and feedback Ancillary teaching materials are available.
Relational Databases explores the major advances in relational databases and provides a balanced analysis of the state of the art in relational databases. Topics covered include capture and analysis of data placement requirements; distributed relational database systems; data dependency manipulation in database schemata; and relational database support for computer graphics and computer aided design. This book is divided into three sections and begins with an overview of the theory and practice of distributed systems, using the example of INGRES from Relational Technology as illustration. The following chapters focus on whether relational and relational-like systems actually meet business needs; IBM's Structured Query Language/Data System (SQL/DS); tools for database design and programming; and Secondary Access Methods and the problem of secondary index selection. A number of quantitative models for assessing the performance of physical databases are also described. This text concludes by assessing some of the most conspicuous trends in relational database research and development. This monograph will be of interest to database designers.
Databases store information about a system and provide a mechanism for data to be accessed and manipulated. While advancements in the 1970s provided a relational database model that has persisted to this day, web-scale era mass data needs surfacing in the 1990s and the early 2000s revealed limitations in the scalability of the relational model. As systems grew and transitioned into distributed architectures to support mass data storage and parallel processing, a complete overhaul of distributed computing technologies evolved that fundamentally departed from the relational data model in favor of the NoSQL data model. The course of this research details the scaling problems encountered by relational databases and the NoSQL solutions that made web-scale systems possible.
Any organization that uses the Oracle RDBMS these days probably runs multiple databases. Different databases may be associated with particular business functions, may be aligned with geographical boundaries, or may access the same data in different ways (e.g., an order entry database hose transactions are aggregated and analyzed in a data warehouse). Usually, these databases are on different servers, which may be located at the same site or a continent away. Oracle provides many tools for designing, developing, administering, and securing distributed database systems. With these tools, data in multiple databases is accessible just as if it were stored in a single database. If your organization uses (or is contemplating using) distributed databases, you need this book. Aimed at both database administrators and developers, Oracle Distributed Systems describes : Benefits (e.g., scalability, tunability, fault tolerance) and tradeoffs of distributed database systems. How to install and configure a distributed system. How to use Oracle's networking products, SQL*Net and Net8, for distributed processing. How classic database design concepts extend to distributed systems and particularly to Oracle Security considerations for distributed systems. How to configure and administer Oracle's distributed database features-read-only snapshots, multimaster replication, updateable snapshots, procedural replication, and conflict resolution. How to maximize performance (distributed databases can have a huge impact on performance, so it's imperative that you implement such systems in the most efficient and effective way). The book covers both Oracle8 and Oracle 7 syntax, includes a complete API reference for Oracle's built-in distributed system packages (e.g., DBMS_REPCAT, DBMS_SNAPSHOT), and comes with a diskette containing a wealth of helpful scripts and utilities.
This book presents a unified collection of concepts, tools, and techniques that constitute the most important technology available for the design and implementation of information systems. The framework for this integration goal is the one offered by the relational model of data, its applications, and implementations in multiuser and distributed environments. This book attempts to develop an integrated methodology for the relational approach and various research and practical developments related to that approach.
Regardless of your database experience, Distributed and Multi-Database Systems provides the foundation and understanding necessary for proper design of databases for today's distributed and multi-database architectures. Introductory chapters help novices understand essential topics such as SQL, relational databases, transaction processing, and deadlock detection. Subsequent sections dealing with homogeneous, distributed databases, heterogenous multi-databases, and federated databases apply information discussed in earlier chapters enasbling readers to understand the complexities of distributed database design. Packed with over 200 illustrations, 50 equations, and two full chapters of examples, the book also includes discussions on objefct-oriented databases, which form an integral part of any database.
The fourth edition of this classic textbook provides major updates. This edition has completely new chapters on Big Data Platforms (distributed storage systems, MapReduce, Spark, data stream processing, graph analytics) and on NoSQL, NewSQL and polystore systems. It also includes an updated web data management chapter that includes RDF and semantic web discussion, an integrated database integration chapter focusing both on schema integration and querying over these systems. The peer-to-peer computing chapter has been updated with a discussion of blockchains. The chapters that describe classical distributed and parallel database technology have all been updated. The new edition covers the breadth and depth of the field from a modern viewpoint. Graduate students, as well as senior undergraduate students studying computer science and other related fields will use this book as a primary textbook. Researchers working in computer science will also find this textbook useful. This textbook has a companion web site that includes background information on relational database fundamentals, query processing, transaction management, and computer networks for those who might need this background. The web site also includes all the figures and presentation slides as well as solutions to exercises (restricted to instructors).
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.