Principles of Database Management PDF Download

Author: Wilfried Lemahieu
Publisher: Cambridge University Press
ISBN: 1107186129
Category : Computers
Languages : en
Pages : 817

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Book Description
Introductory, theory-practice balanced text teaching the fundamentals of databases to advanced undergraduates or graduate students in information systems or computer science.

Author: Pramod J. Sadalage
Publisher: Pearson Education
ISBN: 0321826620
Category : Computers
Languages : en
Pages : 188

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Book Description
'NoSQL Distilled' is designed to provide you with enough background on how NoSQL databases work, so that you can choose the right data store without having to trawl the whole web to do it. It won't answer your questions definitively, but it should narrow down the range of options you have to consider.

Author: Scott W. Ambler
Publisher: Pearson Education
ISBN: 0321630173
Category : Computers
Languages : en
Pages : 554

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Book Description
Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems. Ambler and Sadalage demonstrate how small changes to table structures, data, stored procedures, and triggers can significantly enhance virtually any database design–without changing semantics. You’ll learn how to evolve database schemas in step with source code–and become far more effective in projects relying on iterative, agile methodologies. This comprehensive guide and reference helps you overcome the practical obstacles to refactoring real-world databases by covering every fundamental concept underlying database refactoring. Using start-to-finish examples, the authors walk you through refactoring simple standalone database applications as well as sophisticated multi-application scenarios. You’ll master every task involved in refactoring database schemas, and discover best practices for deploying refactorings in even the most complex production environments. The second half of this book systematically covers five major categories of database refactorings. You’ll learn how to use refactoring to enhance database structure, data quality, and referential integrity; and how to refactor both architectures and methods. This book provides an extensive set of examples built with Oracle and Java and easily adaptable for other languages, such as C#, C++, or VB.NET, and other databases, such as DB2, SQL Server, MySQL, and Sybase. Using this book’s techniques and examples, you can reduce waste, rework, risk, and cost–and build database systems capable of evolving smoothly, far into the future.

Author: Sergio Flesca
Publisher: Springer
ISBN: 3319618938
Category : Technology & Engineering
Languages : en
Pages : 490

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Book Description
This book offers readers a comprehensive guide to the evolution of the database field from its earliest stages up to the present—and from classical relational database management systems to the current Big Data metaphor. In particular, it gathers the most significant research from the Italian database community that had relevant intersections with international projects. Big Data technology is currently dominating both the market and research. The book provides readers with a broad overview of key research efforts in modelling, querying and analysing data, which, over the last few decades, have became massive and heterogeneous areas.

Author: Pierre-Yves BONNEFOY
Publisher: Packt Publishing Ltd
ISBN: 1837634777
Category : Computers
Languages : en
Pages : 490

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Book Description
Learn the essentials of data integration with this comprehensive guide, covering everything from sources to solutions, and discover the key to making the most of your data stack Key Features Learn how to leverage modern data stack tools and technologies for effective data integration Design and implement data integration solutions with practical advice and best practices Focus on modern technologies such as cloud-based architectures, real-time data processing, and open-source tools and technologies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data. This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics. By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.What you will learn Discover the evolving architecture and technologies shaping data integration Process large data volumes efficiently with data warehousing Tackle the complexities of integrating large datasets from diverse sources Harness the power of data warehousing for efficient data storage and processing Design and optimize effective data integration solutions Explore data governance principles and compliance requirements Who this book is for This book is perfect for data engineers, data architects, data analysts, and IT professionals looking to gain a comprehensive understanding of data integration in the modern era. Whether you’re a beginner or an experienced professional enhancing your knowledge of the modern data stack, this definitive guide will help you navigate the data integration landscape.

Author:
Publisher:
ISBN:
Category : Canada
Languages : en
Pages : 1292

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Book Description

Author: Scott Ambler
Publisher: John Wiley & Sons
ISBN: 1118081366
Category : Computers
Languages : en
Pages : 482

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Book Description
Describes Agile Modeling Driven Design (AMDD) and Test-Driven Design (TDD) approaches, database refactoring, database encapsulation strategies, and tools that support evolutionary techniques Agile software developers often use object and relational database (RDB) technology together and as a result must overcome the impedance mismatch The author covers techniques for mapping objects to RDBs and for implementing concurrency control, referential integrity, shared business logic, security access control, reports, and XML An agile foundation describes fundamental skills that all agile software developers require, particularly Agile DBAs Includes object modeling, UML data modeling, data normalization, class normalization, and how to deal with legacy databases Scott W. Ambler is author of Agile Modeling (0471202827), a contributing editor with Software Development (www.sdmagazine.com), and a featured speaker at software conferences worldwide

Author: Luc Perkins
Publisher: Pragmatic Bookshelf
ISBN: 1680505971
Category : Computers
Languages : en
Pages : 430

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Book Description
Data is getting bigger and more complex by the day, and so are your choices in handling it. Explore some of the most cutting-edge databases available - from a traditional relational database to newer NoSQL approaches - and make informed decisions about challenging data storage problems. This is the only comprehensive guide to the world of NoSQL databases, with in-depth practical and conceptual introductions to seven different technologies: Redis, Neo4J, CouchDB, MongoDB, HBase, Postgres, and DynamoDB. This second edition includes a new chapter on DynamoDB and updated content for each chapter. While relational databases such as MySQL remain as relevant as ever, the alternative, NoSQL paradigm has opened up new horizons in performance and scalability and changed the way we approach data-centric problems. This book presents the essential concepts behind each database alongside hands-on examples that make each technology come alive. With each database, tackle a real-world problem that highlights the concepts and features that make it shine. Along the way, explore five database models - relational, key/value, columnar, document, and graph - from the perspective of challenges faced by real applications. Learn how MongoDB and CouchDB are strikingly different, make your applications faster with Redis and more connected with Neo4J, build a cluster of HBase servers using cloud services such as Amazon's Elastic MapReduce, and more. This new edition brings a brand new chapter on DynamoDB, updated code samples and exercises, and a more up-to-date account of each database's feature set. Whether you're a programmer building the next big thing, a data scientist seeking solutions to thorny problems, or a technology enthusiast venturing into new territory, you will find something to inspire you in this book. What You Need: You'll need a *nix shell (Mac OS or Linux preferred, Windows users will need Cygwin), Java 6 (or greater), and Ruby 1.8.7 (or greater). Each chapter will list the downloads required for that database.

Author: Rivero, Laura C.
Publisher: IGI Global
ISBN: 1591407958
Category : Education
Languages : en
Pages : 784

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Book Description
"Addresses the evolution of database management, technologies and applications along with the progress and endeavors of new research areas."--P. xiii.

Author: Verna Allee
Publisher: Routledge
ISBN: 113635719X
Category : Business & Economics
Languages : en
Pages : 278

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Book Description
The Knowledge Evolution offers a unique and powerful road map for understanding knowledge creation, learning, and performance in everyday work. This book reframes current thinking by delving into the hidden world of knowledge supporting both individual and organizational performance, laying the foundation for the emerging art of knowledge management. Packed with best practices from leading edge companies, essential guidelines, design principles, analogies, and conceptual frameworks, it serves as a practical guidebook for mastering the Knowledge Era. It will help managers make more intelligent decisions about knowledge creation, reduce wasteful technology investments and lead to new ease and confidence in applying knowledge and learning principles for themselves and for their organizations. Verna Allee delves into current thinking and practice to unravel the genetic code of knowledge itself. This revolutionary approach has surfaced a simple and elegant knowledge archetype. She demonstrates how this archetype can help us deal with complexity and suggests ways of self-organizing that make profound sense in today's networked enterprises. From strategies for core knowledge competencies to the key components of individual expertise, The Knowledge Evolution zeroes in on the critical success factors for the knowledge-based enterprise. What emerges is an approach to knowledge management that is simple enough to communicate at every level of the organization, yet rich enough to encompass all the complexity of modern enterprises. Verna Allee is the founder of Integral Performance Group, a consulting practice in California that specializes in the learning organization, knowledge competencies, organizational systems change, systems thinking, total quality and learning, benchmarking support, best practices research, and strategic development. She holds a degree in the Study of Human Consciousness and her work is informed by a deep interest in intelligence, human development, cognition, intuition and consciousness. She is the author of Learning Links: Enhancing Individual and Team Performance, Pfeiffer and Co-Jossey Bass, 1996.