Tutorial Distributed Database Management
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Tutorial Distributed Database Management
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Author : James A. Larson
language : en
Publisher:
Release Date : 1985
Tutorial Distributed Database Management written by James A. Larson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Computers categories.
Distributed Database Management Systems
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Author : Saeed K. Rahimi
language : en
Publisher: John Wiley & Sons
Release Date : 2015-02-13
Distributed Database Management Systems written by Saeed K. Rahimi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-02-13 with Computers categories.
This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.
Database Management Using Ai A Comprehensive Guide
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Author : A Purushotham Reddy
language : en
Publisher: A Purushotham Reddy
Release Date : 2024-10-20
Database Management Using Ai A Comprehensive Guide written by A Purushotham Reddy and has been published by A Purushotham Reddy this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-20 with Computers categories.
Database Management Using AI: The Ultimate Guide for Data Professionals Database Management Using AI: A Comprehensive Guide is an essential resource for anyone eager to explore how artificial intelligence (AI) is revolutionizing the field of database management. This book caters to a wide audience, from database administrators, data scientists, and tech enthusiasts to professionals looking to integrate AI into their data management practices. It offers a professional yet easily understandable exploration of how AI is transforming modern data systems. The guide starts by laying a solid foundation in database management fundamentals, covering key concepts such as data models, SQL, and database design principles. It then delves into how AI can optimize database performance, enhance security, and automate complex tasks like data retrieval, query optimization, and schema design. With this book, readers will gain deep insights into integrating AI with traditional database systems and how AI tools are shaping the future of data management. Unlike other books that focus purely on theory, this guide stands out by emphasizing real-world applications. Through practical case studies, it demonstrates how AI-driven database systems are being leveraged across industries such as e-commerce, healthcare, finance, and logistics. These case studies show the real-world impact of AI, helping businesses increase efficiency, reduce errors, and make smarter, data-backed decisions. The book illustrates how AI is enabling organizations to stay ahead in a competitive market by harnessing the power of intelligent database management. Throughout the guide, readers will learn about the evolution of database systems, including the shift from relational databases to modern NoSQL databases, and how AI is enhancing traditional database models to meet the demands of the digital age. The book explores how AI integration in databases is transforming how data is processed and analyzed, automating repetitive tasks and improving the scalability and performance of databases. One of the key highlights of this book is the coverage of AI in database management. Readers will learn how AI is being used to automate routine database tasks, improve security by predicting and mitigating threats, and streamline database management operations through automation. Additionally, the book delves into how AI helps in predictive analytics and data mining, uncovering hidden patterns and enabling organizations to make accurate predictions based on large volumes of data. The book also covers predictive analytics and data mining, teaching readers how AI tools can be used to extract valuable insights from data, identify trends, and uncover business opportunities that were previously hard to detect. By understanding how AI can leverage data to drive business intelligence, readers will be able to implement AI-driven solutions that improve decision-making processes. Furthermore, this guide explores the future of database management with AI. It takes a close look at emerging trends, including autonomous databases and the growing role of cloud-based AI solutions in shaping the future of data management. These innovative technologies are creating intelligent, self-managing databases that are poised to revolutionize how data is stored, processed, and analyzed. Database Management Using AI provides readers with the knowledge and practical skills needed to navigate the fast-evolving landscape of AI-powered databases. Whether you're an industry professional or a student, this book is packed with actionable insights that will keep you ahead in the digital world. It’s a must-have resource for anyone looking to understand the practical impact of AI on database systems and harness the power of machine learning, big data, and cloud computing to transform their approach to data management. With its combination of clear explanations, real-world case studies, and forward-looking insights, this book is the ultimate guide for anyone wanting to stay competitive in the digital age. Database Management Using AI is more than just a book—it's an essential tool for anyone serious about mastering the future of data systems. Refer www.latest2all.com for details...
Tutorial Database Management
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Author : James A. Larson
language : en
Publisher:
Release Date : 1987
Tutorial Database Management written by James A. Larson and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Computers categories.
Distributed Database Management Systems
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Author : Olin H. Bray
language : en
Publisher: Free Press
Release Date : 1982
Distributed Database Management Systems written by Olin H. Bray and has been published by Free Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Computers categories.
Distributed Database Management Systems
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Author : Saeed K. Rahimi
language : en
Publisher: John Wiley & Sons
Release Date : 2010-07-16
Distributed Database Management Systems written by Saeed K. Rahimi and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-07-16 with Computers categories.
This book addresses issues related to managing data across a distributed database system. It is unique because it covers traditional database theory and current research, explaining the difficulties in providing a unified user interface and global data dictionary. The book gives implementers guidance on hiding discrepancies across systems and creating the illusion of a single repository for users. It also includes three sample frameworks—implemented using J2SE with JMS, J2EE, and Microsoft .Net—that readers can use to learn how to implement a distributed database management system. IT and development groups and computer sciences/software engineering graduates will find this guide invaluable.
Tutorial Distributed Data Base Management
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Author : Philip A. Bernstein
language : en
Publisher:
Release Date : 1978
Tutorial Distributed Data Base Management written by Philip A. Bernstein and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1978 with Data base management categories.
Introduction; overview of relational data base management; distributed data base management overview; approaches to distributed query processing; approaches to distributed concurrency control; approaches to distributed data base reliability.
Distribution Data Guide
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Author :
language : en
Publisher:
Release Date : 1960
Distribution Data Guide written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1960 with Marketing categories.
Fundamentals Of Relational Database Management Systems
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Author : S. Sumathi
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-02-13
Fundamentals Of Relational Database Management Systems written by S. Sumathi 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 2007-02-13 with Computers categories.
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.
Distributed Database Systems
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Author : David A. Bell
language : en
Publisher: Addison Wesley Publishing Company
Release Date : 1992
Distributed Database Systems written by David A. Bell and has been published by Addison Wesley Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Computers categories.
This book adopts a practical approach, reviewing the fundamentals of database technology and developments in data communications (including standards) before reviewing the principles of distributed DB systems. It includes case studies of the leading products.