Book Image

Azure for Architects - Third Edition

By : Ritesh Modi, Jack Lee, Rithin Skaria
Book Image

Azure for Architects - Third Edition

By: Ritesh Modi, Jack Lee, Rithin Skaria

Overview of this book

Thanks to its support for high availability, scalability, security, performance, and disaster recovery, Azure has been widely adopted to create and deploy different types of application with ease. Updated for the latest developments, this third edition of Azure for Architects helps you get to grips with the core concepts of designing serverless architecture, including containers, Kubernetes deployments, and big data solutions. You'll learn how to architect solutions such as serverless functions, you'll discover deployment patterns for containers and Kubernetes, and you'll explore large-scale big data processing using Spark and Databricks. As you advance, you'll implement DevOps using Azure DevOps, work with intelligent solutions using Azure Cognitive Services, and integrate security, high availability, and scalability into each solution. Finally, you'll delve into Azure security concepts such as OAuth, OpenConnect, and managed identities. By the end of this book, you'll have gained the confidence to design intelligent Azure solutions based on containers and serverless functions.
Table of Contents (21 chapters)
20
Index

Big data

With the influx of cheap devices—such as Internet of Things devices and hand-held devices—the amount of data that is being generated and captured has increased exponentially. Almost every organization has a great deal of data and they are ready to purchase more if needed. When large quantities of data arrive in multiple different formats and on an ever-increasing basis, then we can say we are dealing with big data. In short, there are three key characteristics of big data:

  • Volume: By volume, we mean the quantity of data both in terms of size (in GB, TB, and PB, for instance) and in terms of the number of records (as in a million rows in a hierarchical data store, 100,000 images, half a billion JSON documents, and so on).
  • Velocity: Velocity refers to the speed at which data arrives or is ingested. If data does not change frequently or new data does not arrive frequently, the velocity of data is said to be low, while if there are frequent updates and...