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Azure for Architects

You're reading from   Azure for Architects Create secure, scalable, high-availability applications on the cloud

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781839215865
Length 698 pages
Edition 3rd Edition
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Authors (3):
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Jack Lee Jack Lee
Author Profile Icon Jack Lee
Jack Lee
Ritesh Modi Ritesh Modi
Author Profile Icon Ritesh Modi
Ritesh Modi
Rithin Skaria Rithin Skaria
Author Profile Icon Rithin Skaria
Rithin Skaria
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Toc

Table of Contents (21) Chapters Close

Preface 1. Getting started with Azure 2. Azure solution availability, scalability, and monitoring FREE CHAPTER 3. Design pattern – Networks, storage, messaging, and events 4. Automating architecture on Azure 5. Designing policies, locks, and tags for Azure deployments 6. Cost management for Azure solutions 7. Azure OLTP solutions 8. Architecting secure applications on Azure 9. Azure Big Data solutions 10. Serverless in Azure – Working with Azure Functions 11. Azure solutions using Azure Logic Apps, Event Grid, and Functions 12. Azure Big Data eventing solutions 13. Integrating Azure DevOps 14. Architecting Azure Kubernetes solutions 15. Cross-subscription deployments using ARM templates 16. ARM template modular design and implementation 17. Designing IoT solutions 18. Azure Synapse Analytics for architects 19. Architecting intelligent solutions 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...
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