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

Oracle's information management reference architecture


The following reference architecture is borrowed directly from Oracle's information management architecture white paper of the same name. The idea is to provide users with a different perspective on handling the data at different stages that still align nicely with overall data-intensive applications. 

Data process view

The data process view on the data-intensive reference architecture will focus on "how" the data flows through different components. The reference architecture also provides its readers with an insight into a platform that is agile. What this means is that data is ingested from new sources without affecting existing ones; it is processed without affecting existing ones; and disseminated without affecting existing pieces of information. The main takeaway from the previous statement is that the platform should be extensible and have the ability to quickly churn out new pieces of information.

Here is a conceptualized view of...