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Architectural Patterns

You're reading from   Architectural Patterns Uncover essential patterns in the most indispensable realm of enterprise architecture

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787287495
Length 468 pages
Edition 1st Edition
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Authors (4):
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Pethuru Raj Chelliah Pethuru Raj Chelliah
Author Profile Icon Pethuru Raj Chelliah
Pethuru Raj Chelliah
Harihara Subramanian J Harihara Subramanian J
Author Profile Icon Harihara Subramanian J
Harihara Subramanian J
Pethuru Raj Pethuru Raj
Author Profile Icon Pethuru Raj
Pethuru Raj
Anupama Murali Anupama Murali
Author Profile Icon Anupama Murali
Anupama Murali
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Toc

Table of Contents (13) Chapters Close

Preface 1. Demystifying Software Architecture Patterns FREE CHAPTER 2. Client/Server Multi-Tier Architectural Patterns 3. Object-Oriented Software Engineering Patterns 4. Enterprise Integration Patterns 5. Domain-Driven Design (DDD) Principles and Patterns 6. Enterprise Architecture Platforms and Tools 7. Service-Oriented Architecture (SOA) 8. Event-Driven Architectural Patterns 9. Microservices Architecture Patterns 10. Patterns for Containerized and Reliable Applications 11. Software-Defined Clouds - the Architecture and Design Patterns 12. Big Data Architecture and Design Patterns

Big Data Architecture and Design Patterns

Big data is the digital trace that gets generated in today's digital world when we use the internet and other digital technology. Whatever we do digitally leaves a massive volume of data. Interestingly, we can do far smarter analysis with those traces and so, therefore, make smarter decisions and much more. For example, when you log in to any website it shows an advertisement for a product that you searched or browsed earlier, even if it was on an entirely different website. So by showing the product that you are interested in, regardless of the specific product selling site, the results of big data analysis and a smart way of selling means that the end user might like the product and be more likely to buy it.

This chapter intends to introduce readers to the more common big data architectural patterns. Some brief details on the core...

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