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

BITES – Unstructured/Semistructured document store


Because all data isn't structured in a rational database, it often comes unstructured in the form of free text or semistructured in the form of Word, Excel, or PDF documents. These documents often have to be treated specially, such as dumping the content in ElasticSearch or MongoDB. Stardog's BITES (Blob Indexing and Text Enrichment with Semantics) capability allows this unstructured/semistructured content in through external processors while also serving as a document store. Through a customizable set of entity-extraction processors, the contents of this documentation can now be unlocked and projected into the graph while providing a means to keep the documentation intact. Managing the documents is available through a full-featured command line, a local Java API, or via an HTTP API.

The conceptual architecture of the BITES Pipeline is illustrated here:

BITES allows the storage and retrieval of documents in the form of files. Stardog treats...