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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 analysis and data science

Big data is the result of collecting and managing large amounts of diverse data; data mining is all about searching data for unrecognized patterns.

Data analysis

Data analysis is about breaking the mined data and assessing the impact of those unrecognized methods. It may even create new patterns over time and help to develop working applications.

Data science

Data science is the process of cleaning, mining, and analyzing the data to derive insights of value from it. Extract data insights through a combination of exploratory data analysis...

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