Author: Gavin Powell
Publisher: John Wiley & Sons
ISBN: 0764574906
Category : Computers
Languages : en
Pages : 496
Book Description
From the #1 source for computing information, trusted by more than six million readers worldwide.
Beginning Database Design
Author: Gavin Powell
Publisher: John Wiley & Sons
ISBN: 0764574906
Category : Computers
Languages : en
Pages : 496
Book Description
From the #1 source for computing information, trusted by more than six million readers worldwide.
Publisher: John Wiley & Sons
ISBN: 0764574906
Category : Computers
Languages : en
Pages : 496
Book Description
From the #1 source for computing information, trusted by more than six million readers worldwide.
Encyclopedia of Database Technologies and Applications
Author: Rivero, Laura C.
Publisher: IGI Global
ISBN: 1591407958
Category : Education
Languages : en
Pages : 784
Book Description
"Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.
Publisher: IGI Global
ISBN: 1591407958
Category : Education
Languages : en
Pages : 784
Book Description
"Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.
Database Management using AI: A Comprehensive Guide
Author: A Purushotham Reddy
Publisher: A Purushotham Reddy
ISBN:
Category : Computers
Languages : en
Pages : 2066
Book Description
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.
Publisher: A Purushotham Reddy
ISBN:
Category : Computers
Languages : en
Pages : 2066
Book Description
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.
Database Systems for Advanced Applications '97
Author: Rodney Topor
Publisher: World Scientific
ISBN: 9810231075
Category : Computers
Languages : en
Pages : 567
Book Description
This volume contains the proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA '97). DASFAA '97 focused on advanced database technologies and their applications. The 55 papers in this volume cover a wide range of areas in the field of database systems and applications ? including the rapidly emerging areas of the Internet, multimedia, and document database systems ? and should be of great interest to all database system researchers and developers, and practitioners.
Publisher: World Scientific
ISBN: 9810231075
Category : Computers
Languages : en
Pages : 567
Book Description
This volume contains the proceedings of the Fifth International Conference on Database Systems for Advanced Applications (DASFAA '97). DASFAA '97 focused on advanced database technologies and their applications. The 55 papers in this volume cover a wide range of areas in the field of database systems and applications ? including the rapidly emerging areas of the Internet, multimedia, and document database systems ? and should be of great interest to all database system researchers and developers, and practitioners.
Footprints of Feist in European Database Directive
Author: Indranath Gupta
Publisher: Springer
ISBN: 981103981X
Category : Law
Languages : en
Pages : 200
Book Description
Connected to the jurisprudence surrounding the copyrightability of a factual compilation, this book locates the footprints of the standard envisaged in a US Supreme court decision (Feist) in Europe. In particular, it observes the extent of similarity of such jurisprudence to the standard adopted and deliberated in the European Union. Many a times the reasons behind law making goes unnoticed. The compelling situations and the history existing prior to an enactment helps in understanding the balance that exists in a particular legislation. While looking at the process of enacting the Database Directive (96/9/EC), this book reflects upon the concern that was expressed with the outcome of Feist decision in Europe.
Publisher: Springer
ISBN: 981103981X
Category : Law
Languages : en
Pages : 200
Book Description
Connected to the jurisprudence surrounding the copyrightability of a factual compilation, this book locates the footprints of the standard envisaged in a US Supreme court decision (Feist) in Europe. In particular, it observes the extent of similarity of such jurisprudence to the standard adopted and deliberated in the European Union. Many a times the reasons behind law making goes unnoticed. The compelling situations and the history existing prior to an enactment helps in understanding the balance that exists in a particular legislation. While looking at the process of enacting the Database Directive (96/9/EC), this book reflects upon the concern that was expressed with the outcome of Feist decision in Europe.
Database Design for Mere Mortals
Author: Michael J. Hernandez
Publisher: Addison-Wesley Professional
ISBN: 0136788173
Category : Computers
Languages : en
Pages : 688
Book Description
The #1 Easy, Commonsense Guide to Database Design—Now Updated Foreword by Michelle Poolet, Mount Vernon Data Systems LLC Michael J. Hernandez's best-selling Database Design for Mere Mortals has earned worldwide respect as the simplest way to learn relational database design. Now, he's made this hands-on, software independent tutorial even clearer and easier to use. Step by step, this new 25th Anniversary Edition shows you how to design modern databases that are soundly structured, reliable, and flexible, even in the latest online applications. Hernandez guides you through everything from planning to defining tables, fields, keys, table relationships, business rules, and views. You'll learn practical ways to improve data integrity, how to avoid common mistakes, and when to break the rules. Updated review questions and figures help you learn these techniques more easily and effectively. Understand database types, models, and design terminology Perform interviews to efficiently capture requirements—even if everyone's working remotely Set clear design objectives and transform them into effective designs Analyze a current database so you can identify ways to improve it Establish table structures and relationships, assign primary keys, set field specifications, and set up views Ensure the correct level of data integrity for each database Identify and establish business rules Preview and prepare for the future of relational databases Whatever relational database systems you use, Hernandez will help you design databases that are robust and trustworthy. Never designed a database before? Settling for inadequate generic designs? Running existing databases that need improvement? Start here.
Publisher: Addison-Wesley Professional
ISBN: 0136788173
Category : Computers
Languages : en
Pages : 688
Book Description
The #1 Easy, Commonsense Guide to Database Design—Now Updated Foreword by Michelle Poolet, Mount Vernon Data Systems LLC Michael J. Hernandez's best-selling Database Design for Mere Mortals has earned worldwide respect as the simplest way to learn relational database design. Now, he's made this hands-on, software independent tutorial even clearer and easier to use. Step by step, this new 25th Anniversary Edition shows you how to design modern databases that are soundly structured, reliable, and flexible, even in the latest online applications. Hernandez guides you through everything from planning to defining tables, fields, keys, table relationships, business rules, and views. You'll learn practical ways to improve data integrity, how to avoid common mistakes, and when to break the rules. Updated review questions and figures help you learn these techniques more easily and effectively. Understand database types, models, and design terminology Perform interviews to efficiently capture requirements—even if everyone's working remotely Set clear design objectives and transform them into effective designs Analyze a current database so you can identify ways to improve it Establish table structures and relationships, assign primary keys, set field specifications, and set up views Ensure the correct level of data integrity for each database Identify and establish business rules Preview and prepare for the future of relational databases Whatever relational database systems you use, Hernandez will help you design databases that are robust and trustworthy. Never designed a database before? Settling for inadequate generic designs? Running existing databases that need improvement? Start here.
Database Design Manual: using MySQL for Windows
Author: Matthew Norman
Publisher: Springer Science & Business Media
ISBN: 1852337168
Category : Computers
Languages : en
Pages : 213
Book Description
Essential SQL fast provides a comprehensive guide to SQL, using the Windows-based version of MySQL. MySQL is a freely available, multi-platform database management system, making it ideal for learning the techniques and concepts of database design. Using numerous worked examples and illustrations, Matthew Norman describes how to set up the database management system MySQL. In doing so he covers various topics, including: installing and testing MySQL; using the graphical tools; database design techniques and concepts; retrieving, changing and deleting data; and how to make other products communicate with MySQL.
Publisher: Springer Science & Business Media
ISBN: 1852337168
Category : Computers
Languages : en
Pages : 213
Book Description
Essential SQL fast provides a comprehensive guide to SQL, using the Windows-based version of MySQL. MySQL is a freely available, multi-platform database management system, making it ideal for learning the techniques and concepts of database design. Using numerous worked examples and illustrations, Matthew Norman describes how to set up the database management system MySQL. In doing so he covers various topics, including: installing and testing MySQL; using the graphical tools; database design techniques and concepts; retrieving, changing and deleting data; and how to make other products communicate with MySQL.
Android Database Best Practices
Author: Adam Stroud
Publisher: Addison-Wesley Professional
ISBN: 0134438108
Category : Computers
Languages : en
Pages : 575
Book Description
Battle-Tested Strategies for Storing, Managing, and Sharing Android Data “AndroidTM Database Best Practices goes well beyond API documentation to offer strategic advice about how to handle data in an Android application and the tools needed to develop productively. This arms the developer with a trove of solutions to nearly any problem an application may face involving data. Mastering the concepts in this book are therefore essential for any developer who wants to create professional Android applications.” –Greg Milette, Android developer, Gradison Technologies, Inc. This is the first guide to focus on one of the most critical aspects of Android development: how to efficiently store, retrieve, manage, and share information from your app’s internal database. Through real-world code examples, which you can use in your own apps, you’ll learn how to take full advantage of SQLite and the database-related classes on Android. A part of Addison-Wesley’s AndroidTM Deep Dive series for experienced Android developers, Android Database Best Practices draws on Adam Stroud’s extensive experience leading cutting-edge app projects. Stroud reviews the core database theory and SQL techniques you need to efficiently build, manipulate, and read SQLite databases. He explores SQLite in detail, illuminates Android’s APIs for database interaction, and shares modern best practices for working with databases in the Android environment. Through a complete case study, you’ll learn how to design your data access layer to simplify all facets of data management and avoid unwanted technical debt. You’ll also find detailed solutions for common challenges in building data-enabled Android apps, including issues associated with threading, remote data access, and showing data to users. Extensive, up-to-date sample code is available for download at github.com/android-database-best-practices/device-database. You will Discover how SQLite database differs from other relational databases Use SQL DDL to add structure to a database, and use DML to manipulate data Define and work with SQLite data types Persist highly structured data for fast, efficient access Master Android classes for create, read, update, and delete (CRUD) operations and database queries Share data within or between apps via content providers Master efficient UI strategies for displaying data, while accounting for threading issues Use Android’s Intents API to pass data between activities when starting a new activity or service Achieve two-way communication between apps and remote web APIs Manage the complexities of app-to-server communication, and avoid common problems Use Android’s new Data Binding API to write less code and improve performance
Publisher: Addison-Wesley Professional
ISBN: 0134438108
Category : Computers
Languages : en
Pages : 575
Book Description
Battle-Tested Strategies for Storing, Managing, and Sharing Android Data “AndroidTM Database Best Practices goes well beyond API documentation to offer strategic advice about how to handle data in an Android application and the tools needed to develop productively. This arms the developer with a trove of solutions to nearly any problem an application may face involving data. Mastering the concepts in this book are therefore essential for any developer who wants to create professional Android applications.” –Greg Milette, Android developer, Gradison Technologies, Inc. This is the first guide to focus on one of the most critical aspects of Android development: how to efficiently store, retrieve, manage, and share information from your app’s internal database. Through real-world code examples, which you can use in your own apps, you’ll learn how to take full advantage of SQLite and the database-related classes on Android. A part of Addison-Wesley’s AndroidTM Deep Dive series for experienced Android developers, Android Database Best Practices draws on Adam Stroud’s extensive experience leading cutting-edge app projects. Stroud reviews the core database theory and SQL techniques you need to efficiently build, manipulate, and read SQLite databases. He explores SQLite in detail, illuminates Android’s APIs for database interaction, and shares modern best practices for working with databases in the Android environment. Through a complete case study, you’ll learn how to design your data access layer to simplify all facets of data management and avoid unwanted technical debt. You’ll also find detailed solutions for common challenges in building data-enabled Android apps, including issues associated with threading, remote data access, and showing data to users. Extensive, up-to-date sample code is available for download at github.com/android-database-best-practices/device-database. You will Discover how SQLite database differs from other relational databases Use SQL DDL to add structure to a database, and use DML to manipulate data Define and work with SQLite data types Persist highly structured data for fast, efficient access Master Android classes for create, read, update, and delete (CRUD) operations and database queries Share data within or between apps via content providers Master efficient UI strategies for displaying data, while accounting for threading issues Use Android’s Intents API to pass data between activities when starting a new activity or service Achieve two-way communication between apps and remote web APIs Manage the complexities of app-to-server communication, and avoid common problems Use Android’s new Data Binding API to write less code and improve performance
AWS Certified Database Study Guide
Author: Matheus Arrais
Publisher: John Wiley & Sons
ISBN: 1119778972
Category : Computers
Languages : en
Pages : 529
Book Description
Validate your AWS Cloud database skills! AWS Certified Database Study Guide: Specialty (DBS-C01) Exam focuses on helping you to understand the basic job role of a database administrator / architect and to prepare for taking the certification exam. This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS Cloud, and performing a database-focused role. AWS is the frontrunner in cloud computing products and services, and this study guide will help you to gain an understanding of core AWS services, uses, and basic AWS database design and deployment best practices. AWS offers more than relational and nonrelation databases, they offer purpose built databases, which allow you to utilize database services prebuilt to meet your business requirements. If you are looking to take the Specialty (DBS-C01) exam, this Study Guide is what you need for comprehensive content and robust study tools that will help you gain the edge on exam day and throughout your career. AWS Certified Database certification offers a great way for IT professionals to achieve industry recognition as cloud experts. This new study guide is perfect for you if you perform a database-focused role and want to pass the DBS-C01 exam to prove your knowledge of how to design and deploy secure and robust database applications on AWS technologies. IT cloud professionals who hold AWS certifications are in great demand, and this certification could take your career to the next level! Master all the key concepts you need to pass the AWS Certified Database Specialty (DBS-C01) Exam Further your career by demonstrating your cloud computing expertise and your knowledge of databases and database services Understand the concept of purpose built databases, allowing you to pick the right tool for the right job. Review deployment and migration, management and operations, monitoring and troubleshooting, database security, and more Access the Sybex online learning environment and test bank for interactive study aids and practice questions Readers will also get one year of FREE access after activation to Sybex’s superior online interactive learning environment and test bank, including hundreds of questions, a practice exam, electronic flashcards, and a glossary of key terms.
Publisher: John Wiley & Sons
ISBN: 1119778972
Category : Computers
Languages : en
Pages : 529
Book Description
Validate your AWS Cloud database skills! AWS Certified Database Study Guide: Specialty (DBS-C01) Exam focuses on helping you to understand the basic job role of a database administrator / architect and to prepare for taking the certification exam. This is your opportunity to take the next step in your career by expanding and validating your skills on the AWS Cloud, and performing a database-focused role. AWS is the frontrunner in cloud computing products and services, and this study guide will help you to gain an understanding of core AWS services, uses, and basic AWS database design and deployment best practices. AWS offers more than relational and nonrelation databases, they offer purpose built databases, which allow you to utilize database services prebuilt to meet your business requirements. If you are looking to take the Specialty (DBS-C01) exam, this Study Guide is what you need for comprehensive content and robust study tools that will help you gain the edge on exam day and throughout your career. AWS Certified Database certification offers a great way for IT professionals to achieve industry recognition as cloud experts. This new study guide is perfect for you if you perform a database-focused role and want to pass the DBS-C01 exam to prove your knowledge of how to design and deploy secure and robust database applications on AWS technologies. IT cloud professionals who hold AWS certifications are in great demand, and this certification could take your career to the next level! Master all the key concepts you need to pass the AWS Certified Database Specialty (DBS-C01) Exam Further your career by demonstrating your cloud computing expertise and your knowledge of databases and database services Understand the concept of purpose built databases, allowing you to pick the right tool for the right job. Review deployment and migration, management and operations, monitoring and troubleshooting, database security, and more Access the Sybex online learning environment and test bank for interactive study aids and practice questions Readers will also get one year of FREE access after activation to Sybex’s superior online interactive learning environment and test bank, including hundreds of questions, a practice exam, electronic flashcards, and a glossary of key terms.
Fuzzy Database Modeling
Author: Adnan Yazici
Publisher: Springer Science & Business Media
ISBN: 9783790811711
Category : Computers
Languages : en
Pages : 252
Book Description
Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book.
Publisher: Springer Science & Business Media
ISBN: 9783790811711
Category : Computers
Languages : en
Pages : 252
Book Description
Some recent fuzzy database modeling advances for the non-traditional applications are introduced in this book. The focus is on database models for modeling complex information and uncertainty at the conceptual, logical, physical design levels and from integrity constraints defined on the fuzzy relations. The database models addressed here are; the conceptual data models, including the ExIFO and ExIFO2 data models, the logical database models, including the extended NF2 database model, fuzzy object-oriented database model, and the fuzzy deductive object-oriented database model. Integrity constraints are defined on the fuzzy relations are also addressed. A continuing reason for the limited adoption of fuzzy database systems has been performance. There have been few efforts at defining physical structures that accomodate fuzzy information. A new access structure and data organization for fuzzy information is introduced in this book.