Book Image

Architecting Data-Intensive Applications

By : Anuj Kumar
Book Image

Architecting Data-Intensive Applications

By: Anuj Kumar

Overview of this book

<p>Are you an architect or a developer who looks at your own applications gingerly while browsing through Facebook and applauding it silently for its data-intensive, yet ?uent and efficient, behaviour? This book is your gateway to build smart data-intensive systems by incorporating the core data-intensive architectural principles, patterns, and techniques directly into your application architecture.</p> <p>This book starts by taking you through the primary design challenges involved with architecting data-intensive applications. You will learn how to implement data curation and data dissemination, depending on the volume of your data. You will then implement your application architecture one step at a time. You will get to grips with implementing the correct message delivery protocols and creating a data layer that doesn’t fail when running high traffic. This book will show you how you can divide your application into layers, each of which adheres to the single responsibility principle. By the end of this book, you will learn to streamline your thoughts and make the right choice in terms of technologies and architectural principles based on the problem at hand.</p>
Table of Contents (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

Summary


In this chapter, we looked at various Architectural Patterns, and discussed the application and the communication style in greater detail. We also learned how to combine different application styles, and dived deep in  various architectural patterns enabling us to understand the why (we are doing what we are doing in Data Centric Architectures) as well as the how (we can approach various problems given the knowledge of the Architectural Patterns) of a Data Centric Architecture. 

In the next chapter, we will build upon the knowledge gained here to further our understanding on certain Architectural concerns like Distributed Processing, Distributed Storage, Distributed Data Pipeline that will enable us to start focusing on concerns around the Data Centric Architectures. Stay tuned.