Designing Data-Intensive Web Applications

Free download. Book file PDF easily for everyone and every device. You can download and read online Designing Data-Intensive Web Applications file PDF Book only if you are registered here. And also you can download or read online all Book PDF file that related with Designing Data-Intensive Web Applications book. Happy reading Designing Data-Intensive Web Applications Bookeveryone. Download file Free Book PDF Designing Data-Intensive Web Applications at Complete PDF Library. This Book have some digital formats such us :paperbook, ebook, kindle, epub, fb2 and another formats. Here is The CompletePDF Book Library. It's free to register here to get Book file PDF Designing Data-Intensive Web Applications Pocket Guide.

Account Options

How many copies would you like to buy? Add to Cart Add to Cart. Add to Wishlist Add to Wishlist. Peer under the hood of the systems you already use, and learn how to use and operate them more effectively Make informed decisions by identifying the strengths and weaknesses of different tools Navigate the trade-offs around consistency, scalability, fault tolerance, and complexity Understand the distributed systems research upon which modern databases are built Peek behind the scenes of major online services, and learn from their architectures.

Models and tools for designing data-intensive web applications - IEEE Conference Publication

More Computers. As described by the authors, the goal of this book is the proposal of a mix of concepts, notations, and techniques for the construction of data-intensive Web applications, which can be used by Web development teams to support all the activities of the application lifecycle, from analysis to deployment and evolution.


  • A Photo Tour of San Francisco and Northern California (Photo Tour Books).
  • Gimme Indie Rock: 500 Essential American Underground Rock Albums 1981–1996.
  • Digital communications with chaos: multiple access techniques and performance!
  • More Books by Stefano Ceri, Piero Fraternali & Aldo Bongio!
  • English Sound Structure.
  • Wayne Rooney: Boots of Gold.
  • Hear the Word of Yahweh?

The authors achieve this purpose, and provide an easy to read, but more importantly, an easy to follow set of instructions, methods, and examples to guide programmers in moving to the data-intensive applications that the more dynamic Web and portal technologies require. The books combination and extension of known modeling techniques in a new constellation, to create a new software engineering technique, may well prove to be its major contribution.

The creativity of the combination of techniques to form a method is remarkable, as is the books easy pedagogic style. This language is used to guide the reader in specifying and designing a Web application, including requirements specification, data design, and hypertext design.

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

A data intensive Web application is a Web site that accesses and maintains large amounts of structured data. Most current Web sites and emerging application sites are of this nature.

Platform for Scalable Web Apps - How I built my website with Kubernetes

Four major sections are contained in the book. The first section is a technology overview that gives the reader a basic foundation in Web application software.

Publisher Description

Models for designing Web applications are covered in the second section, which covers the E-R modeling tools and UML in a very readable way that leads to the introduction of hypertext and content modeling. Section 3 covers the design of these models, and the development of these models into something that can be implemented.

Finally, the last section covers implementation techniques, starting with an architecture for creating such implementations. The text is presented in a clear and very easy to understand style. Examples abound.

Design of Web Applications. Implementation of Web Applications.

About the Authors. Otras ediciones - Ver todo Morgan Kaufmann series in data management systems: Designing data-intensive Morgan Kaufmann series in data management systems: Designing data-intensive

admin