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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 technology concepts

Let's start with the technology prerequisites for big data analysis, and then we will cover the life cycle of big data analysis. The prerequisites are:

  • Flexible architectures, that supports various data types and patterns
  • Upstream use of analytics for data relevance optimization
  • Advanced analytics and real-time visualization to accelerate actions and understandings
  • Collaborative approaches for aligning stakeholders

Data analysis life cycle

Big data analysis life cycle provides a step-by-step methodology for organizing the data activities and tasks related to data acquiring, processing, analyzing and repurposing. The following are the stages of data analysis life cycle with a...

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