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    Designing Data-Intensive Web Applications (The Morgan Kaufmann Series in Data Management Systems)

    Beschreibung Designing Data-Intensive Web Applications (The Morgan Kaufmann Series in Data Management Systems). The most prominent Web applications in use today are data-intensive. Scores of database management systems across the Internet access and maintain large amounts of structured data for e-commerce, on-line trading, banking, digital libraries, and other high-volume sites. Developing and maintaining these data-intensive applications is an especially complex, multi-disciplinary activity, requiring all the tools and techniques that software engineering can provide. This book represents a breakthrough for Web application developers. Using hundreds of illustrations and an elegant intuitive modeling language, the authors all internationally-known database researchers present a methodology that fully exploits the conceptual modeling approach of software engineering, from idea to application. Readers will learn not only how to harness the design technologies of relational databases for use on the Web, but also how to transform their conceptual designs of data-intensive Web applications into effective software components.



    Buch Designing Data-Intensive Web Applications (The Morgan Kaufmann Series in Data Management Systems) PDF ePub

    Designing Data-Intensive Applications: The Big Ideas ~ ‘Designing Data-Intensive Applications’ covers various problems which you may encounter when designing a distributed system. For example: how to guarantee consistency of your system and how not to break your system when failure occurs. You can learn that not only network is unreliable, but using global time e.g. UTC to recognize events order is not predictable and safe (even if you think .

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    Database Modeling and Design: Logical Design The Morgan ~ Chapter 7 summarizes Chapter 1-6. Chapter 8 illustrates basic features of Object- oriented database systems. Chapter 9 delves into web technologies like XML and how they impact database design. Chapter 10 describes the major issues in BI such as warehousing, OLAP for decision support systems and data mining,

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