Architecture Of A Database System
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Architecture Of A Database System
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Author : Joseph M. Hellerstein
language : en
Publisher: Now Publishers Inc
Release Date : 2007
Architecture Of A Database System written by Joseph M. Hellerstein and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007 with Computers categories.
Architecture of a Database System presents an architectural discussion of DBMS design principles, including process models, parallel architecture, storage system design, transaction system implementation, query processor and optimizer architectures, and typical shared components and utilities.
The Architectural Logic Of Database Systems
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Author : Emmanuel J. Yannakoudakis
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
The Architectural Logic Of Database Systems written by Emmanuel J. Yannakoudakis and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
If we look back to pre-database systems and the data units which were in use, we will establish a hierarchy starting with the concept of 'field' used to build 'records' which were in turn used to build higher data units such as 'files'. The file was considered to be the ultimate data unit of information processing and data binding 'monolith'. Moreover, pre database systems were designed with one or more programming languages in mind and this in effect restricted independent develop ment and modelling of the applications and associated storage structures. Database systems came along not to turn the above three units into outmoded concepts, but rather to extend them further by establishing a higher logical unit for data description and thereby offer high level data manipulation functions. It also becomes possible for computer professionals and other users to view all information processing needs of an organisation through an integrated, disciplined and methodical approach. So, database systems employ the concepts field, record and file without necessarily making them transparent to the user who is in effect offered a high level language to define data units and relation ships, and another language to manipulate these. A major objective of database systems is to allow logical manipulations to be carried out independent of storage manipulations and vice versa.
Real Time Database Systems
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Author : Kam-Yiu Lam
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-04-18
Real Time Database Systems written by Kam-Yiu Lam and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-04-18 with Computers categories.
In recent years, tremendous research has been devoted to the design of database systems for real-time applications, called real-time database systems (RTDBS), where transactions are associated with deadlines on their completion times, and some of the data objects in the database are associated with temporal constraints on their validity. Examples of important applications of RTDBS include stock trading systems, navigation systems and computer integrated manufacturing. Different transaction scheduling algorithms and concurrency control protocols have been proposed to satisfy transaction timing data temporal constraints. Other design issues important to the performance of a RTDBS are buffer management, index accesses and I/O scheduling. Real-Time Database Systems: Architecture and Techniques summarizes important research results in this area, and serves as an excellent reference for practitioners, researchers and educators of real-time systems and database systems.
An Architecture For Expert Database System
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Author : Adnan Albazi
language : en
Publisher:
Release Date : 1989
An Architecture For Expert Database System written by Adnan Albazi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with categories.
Advanced Database Machine Architecture
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Author : David K. Hsiao
language : en
Publisher: Prentice Hall
Release Date : 1983
Advanced Database Machine Architecture written by David K. Hsiao and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Computers categories.
Verso: a relational backend database machine. Sabre: a relational database system for a multimicroprocessor machine. RDBM: a dedicated multiprocessor system for database management. The architecture of a relational database computer known as DBMAC. An assessment of the query-processing capability of DBMAC. Design considerations for an information query computer. A data-stream database machine with large capacity. Design and analysis of join operations of data base machines. The architecture and operation of a large, full-text information-retrieval system. The implementation of a multibackend database system (MDBS): part I - an exercise in database software engineering. The implementation of a multi-backend database system (MDBS): part II - the design of a prototype MDBS.
Database Systems
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Author : S. K. Singh
language : en
Publisher: Pearson Education India
Release Date : 2011
Database Systems written by S. K. Singh and has been published by Pearson Education India this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Database design categories.
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 Internals
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Author : Alex Petrov
language : en
Publisher: O'Reilly Media
Release Date : 2019-09-13
Database Internals written by Alex Petrov and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-09-13 with Computers categories.
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
Database Systems
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Author : Paolo Atzeni
language : en
Publisher:
Release Date : 1999
Database Systems written by Paolo Atzeni and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Bases de données categories.
Covers the important requirements of teaching databases with a modular and progressive perspective. This book can be used for a full course (or pair of courses), but its first half can be profitably used for a shorter course.
Modern Big Data Processing With Hadoop
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Author : V Naresh Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-03-30
Modern Big Data Processing With Hadoop written by V Naresh Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-30 with Computers categories.
A comprehensive guide to design, build and execute effective Big Data strategies using Hadoop Key Features -Get an in-depth view of the Apache Hadoop ecosystem and an overview of the architectural patterns pertaining to the popular Big Data platform -Conquer different data processing and analytics challenges using a multitude of tools such as Apache Spark, Elasticsearch, Tableau and more -A comprehensive, step-by-step guide that will teach you everything you need to know, to be an expert Hadoop Architect Book Description The complex structure of data these days requires sophisticated solutions for data transformation, to make the information more accessible to the users.This book empowers you to build such solutions with relative ease with the help of Apache Hadoop, along with a host of other Big Data tools. This book will give you a complete understanding of the data lifecycle management with Hadoop, followed by modeling of structured and unstructured data in Hadoop. It will also show you how to design real-time streaming pipelines by leveraging tools such as Apache Spark, and build efficient enterprise search solutions using Elasticsearch. You will learn to build enterprise-grade analytics solutions on Hadoop, and how to visualize your data using tools such as Apache Superset. This book also covers techniques for deploying your Big Data solutions on the cloud Apache Ambari, as well as expert techniques for managing and administering your Hadoop cluster. By the end of this book, you will have all the knowledge you need to build expert Big Data systems. What you will learn Build an efficient enterprise Big Data strategy centered around Apache Hadoop Gain a thorough understanding of using Hadoop with various Big Data frameworks such as Apache Spark, Elasticsearch and more Set up and deploy your Big Data environment on premises or on the cloud with Apache Ambari Design effective streaming data pipelines and build your own enterprise search solutions Utilize the historical data to build your analytics solutions and visualize them using popular tools such as Apache Superset Plan, set up and administer your Hadoop cluster efficiently Who this book is for This book is for Big Data professionals who want to fast-track their career in the Hadoop industry and become an expert Big Data architect. Project managers and mainframe professionals looking forward to build a career in Big Data Hadoop will also find this book to be useful. Some understanding of Hadoop is required to get the best out of this book.
On Database Management System Architecture
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Author : Michael Hammer
language : en
Publisher:
Release Date : 1979
On Database Management System Architecture written by Michael Hammer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1979 with Database management categories.
Despite the many advances that have been made in the field of database management in the last two decades, in many respects the paradigm of database management has not changed much since its inception. Several long-standing assumptions pervade the field and exert a great influence on the architecture of database management systems, their functions, and the kinds of databases that they manage. This paper reconsiders some of these assumptions and suggests certain alternatives to them. In particular, it is argued that the concept of an integrated database ought to be supplanted by that of a federated database, a loose assembly of semi-independent components; the position of the database management system in the context of a total information system is reexamined, and arguments are made for extending its functional capabilities; and controlled logical redundancy in the schema is introduced as a means of improving the usability of a database and of enhancing its life-cycle performance.