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 2. Defining a Reference Architecture for Data-Intensive Systems

Whatever good things we build end up building us.                                                                                                 —Jim Rohn

Every software application can be divided into two types, namely: compute-intensive applications and data-intensive applications. And then there are applications that fall somewhere between the two. This book focuses on data-intensive applications, and we have just gained an understanding of the data ecosystem in Chapter 1, Exploring the Data Ecosystem.

This chapter will give you an insight into a reference architecture for a data-intensive system and will then try to provide you with a variety of possible implementations of that framework in different scenarios.