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Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK
'Projetando Aplica es Intensivas de Dados' equips you with the knowledge to design systems that don't just serve data but thrive on it.
Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK
Item #: 223323777

Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK

Item #: 223323777

INR 2850

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INR 2850

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'Projetando Aplica es Intensivas de Dados' equips you with the knowledge to design systems that don't just serve data but thrive on it.
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What Stands Out

Reliability
Offers structured methods to ensure data integrity and availability, crucial for high-stakes applications in dynamic environments, setting a strong foundation for dependable systems.
Scalability
Equips developers with insights on scalable architectures, allowing applications to grow efficiently with user demand while maintaining performance and reliability across various infrastructures.
In-depth Knowledge
Provides a comprehensive exploration of data management concepts, empowering readers to make informed decisions and adopt best practices for building robust data-intensive applications.

Product Details

Shop Designing Data-Intensive Applications : The Big Ideas Behind Reliable USA STOCK online at a best price in India. 366387266358
ISBN9781449373320
Subject AreaComputers
Publication NameDesigning Data-Intensive Applications : The Big Ideas Behind Reliable, Scalable, and Maintainable Systems
PublisherO'reilly Media, Incorporated
Item Length9.2 in (23.4 cm)
SubjectData Modeling & Design, Desktop Applications / Databases
Publication Year2017
TypeTextbook
FormatTrade Paperback
LanguageEnglish
Item Height1.5 in (3.8 cm)
AuthorMartin Kleppmann
Item Weight36.3 Oz (1029.11 grams)
Item Width6.9 in (17.5 cm)
Number of Pages614 Pages

Who Should Buy?

Suitable For
  • Data Engineers

    Ideal for data engineers seeking to design robust data pipelines and understand data system fundamentals.

  • Software Architects

    Beneficial for software architects who need to make informed decisions about system architectures involving large data.

  • Technical Students

    Great for technical students learning about data systems, providing comprehensive insights and practical understanding of concepts.

Not Suitable For
  • Casual Readers

    Not suitable for casual readers looking for light content, as it delves deep into technicalities and complexities.

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