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 10. Handling Streams of Data

"If it weren't for the rocks in its bed, the stream would have no song."                                                                                                              —Carl Perkins

In today's world, data is being produced at a very fast pace. We have data producing gadgets everywhere. Even while you are reading this chapter, chances are some background program is tracking all the clicks you are make, all the time you spend reading this line, and other metrics, and making use of this data to enhance your experience further and probably recommend you better or similar reading material.

Today's enterprise is hungry for gaining insights, in a timely fashion, into their large datasets. A stream, by definition, is something that is continuous. This implies that the system that will be handling the stream of data should essentially be unbounded and capable of handling a never-ending set of data.

It may sound easy at first, but a major part of the...