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

Data lineage


Data lineage is a very important first step in defining the governance around the data you are collecting. The data-collection System is also a very important piece in the overall architecture from the governance perspective. It is the place where the data you will be using in your application to support business functionality enters. Thus, it is also the place where we start defining our Data Governance and Handling Strategies. With General Data Protection Regulation (GDPR) defining rules around data-handling and consequences of non-compliance being very high, the governance of data has become more important than ever. Companies are required to prove that they are handling the data in accordance with GDPR, otherwise they face huge financial implications. This is where capturing the lineage of the data becomes important. 

When you add a new data source into the system or you update the existing data source, you need to maintain some sort of mapping or relationship within the...