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Serialization and Persistent Objects - Turning Data Structures into Efficient Databases (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R2,401
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Serialization and Persistent Objects - Turning Data Structures into Efficient Databases (Paperback, Softcover reprint of the original 1st ed. 2014)
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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 Machacek 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.
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