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

Chapter 3. Patterns of the Data Intensive Architecture

In the last chapter, we looked at a reference architecture in detail. We looked at architectural principles, discussed different architectural vies pertaining to different audiences, and also discussed architectural capabilities. Having a good understanding of how a Data Intensive System can be visualized at a high level gives you a good start to breaking it down to a finer, more granular level.

In this chapter, we will focus on various architectural patterns. We will discuss, in greater detail, the capabilities we defined in previous chapters and what patterns emerge from them. But the discussion will start with various application styles that we can follow to implement our data intensive System. Let's start with understanding what an application style is and how many different types of common application styles are present.