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Architectural Patterns

Architectural Patterns

By : Murali, Pethuru Raj, J, Pethuru Raj Chelliah
2.4 (5)
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Architectural Patterns

Architectural Patterns

2.4 (5)
By: Murali, Pethuru Raj, J, Pethuru Raj Chelliah

Overview of this book

Enterprise Architecture (EA) is typically an aggregate of the business, application, data, and infrastructure architectures of any forward-looking enterprise. Due to constant changes and rising complexities in the business and technology landscapes, producing sophisticated architectures is on the rise. Architectural patterns are gaining a lot of attention these days. The book is divided in three modules. You'll learn about the patterns associated with object-oriented, component-based, client-server, and cloud architectures. The second module covers Enterprise Application Integration (EAI) patterns and how they are architected using various tools and patterns. You will come across patterns for Service-Oriented Architecture (SOA), Event-Driven Architecture (EDA), Resource-Oriented Architecture (ROA), big data analytics architecture, and Microservices Architecture (MSA). The final module talks about advanced topics such as Docker containers, high performance, and reliable application architectures. The key takeaways include understanding what architectures are, why they're used, and how and where architecture, design, and integration patterns are being leveraged to build better and bigger systems.
Table of Contents (13 chapters)
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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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