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

Semantic graph


Semantic graph is a work of W3C that has played an instrumental role in building a technology stack that represents a Web of Data rather than the more traditional representation of “Web of documents.” The primary goal of defining such a technology stack is to enable computers to interact with each other in a machine-readable format thereby making them do more useful work. Semantic Web is a W3C vision of linking data on the web. A semantic set of technologies, such as RDF, SPARQL, OWL, and SKOS, enables organizations to build data stores of the web, define data-handling rules, and build vocabularies. The following defines the pieces of the Semantic Web.

Linked data

Semantic web is a web of data, and in order to define a web, we need to think of semantic data as a graph of nodes and relationships between nodes. Thinking of the entire dataset on the web as data and the relationship among data let us think about the entire disparate sources of data in a standardized manner. This...