Serialization and Persistent Objects Turning Data Structures into Efficient Databases /

Recently, the pressure for fast processing and efficient storage of large data with complex relations increased beyond the capability of traditional databases. Typical examples include iPhone applications, computer aided design – both electrical and mechanical, biochemistry applications, and increme...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Soukup, Jiri (Συγγραφέας), Macháček, Petr (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Soukup, Jiri.  |e author. 
245 1 0 |a Serialization and Persistent Objects  |h [electronic resource] :  |b Turning Data Structures into Efficient Databases /  |c by Jiri Soukup, Petr Macháček. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2014. 
300 |a XVIII, 263 p. 133 illus.  |b online resource. 
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505 0 |a Introduction -- Fundamentals of persistence -- Data structures, libraries, and UML -- Advanced features, schema migration -- Languages, their features and limitations -- Automatic persistence for Objective-C -- Benchmark -- Proposal to add a keyword to all OO languages -- The future. . 
520 |a Recently, the pressure for fast processing and efficient storage of large data with complex relations increased beyond the capability of traditional databases. Typical examples include iPhone applications, computer aided design – both electrical and mechanical, biochemistry applications, and incremental compilers. Serialization, which is sometimes used in such situations is notoriously tedious and error prone. In this book, Jiri Soukup and Petr Macháček show in detail how to write programs which store their internal data automatically and transparently to disk. Together with special data structure libraries which treat relations among objects as first-class entities, and with a UML class-diagram generator, the core application code is much simplified. The benchmark chapter shows a typical example where persistent data is faster by the order of magnitude than with a traditional database, in both traversing and accessing the data. The authors explore and exploit advanced features of object-oriented languages in a depth hardly seen in print before. Yet, you as a reader need only a basic knowledge of C++, Java, C#, or Objective C. These languages are quite similar with respect to persistency, and the authors explain their differences where necessary. The book targets professional programmers working on any industry applications, it teaches you how to design your own persistent data or how to use the existing packages efficiently. Researchers in areas like language design, compiler construction, performance evaluation, and no-SQL applications will find a wealth of novel ideas and valuable implementation tips. Under http://www.codefarms.com/book, you will find a blog and other information, including a downloadable zip file with the sources of all the listings that are longer than just a few lines – ready to compile and run. . 
650 0 |a Computer science. 
650 0 |a Operating systems (Computers). 
650 0 |a Data structures (Computer science). 
650 0 |a Database management. 
650 1 4 |a Computer Science. 
650 2 4 |a Data Storage Representation. 
650 2 4 |a Database Management. 
650 2 4 |a Operating Systems. 
700 1 |a Macháček, Petr.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642393228 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-39323-5  |z Full Text via HEAL-Link 
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950 |a Computer Science (Springer-11645)