Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Azure for Architects

You're reading from   Azure for Architects Implementing cloud design, DevOps, containers, IoT, and serverless solutions on your public cloud

Arrow left icon
Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781789614503
Length 536 pages
Edition 2nd Edition
Tools
Arrow right icon
Authors (2):
Arrow left icon
Ritesh Modi Ritesh Modi
Author Profile Icon Ritesh Modi
Ritesh Modi
Daniel Andres Pelaez Lopez Daniel Andres Pelaez Lopez
Author Profile Icon Daniel Andres Pelaez Lopez
Daniel Andres Pelaez Lopez
Arrow right icon
View More author details
Toc

Table of Contents (17) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Azure Solution Availability and Scalability 3. Security and Monitoring 4. Cross-Subscription Deployments Using ARM Templates 5. ARM Templates - Modular Design and Implementation 6. Designing and Implementing Serverless Solutions 7. Azure Integration Solutions 8. Cost Management 9. Designing Policies, Locks, and Tags 10. Azure Solutions Using Azure Container Services 11. Azure DevOps 12. Azure OLTP Solutions Using Azure SQL Sharding, Pools, and Hybrid 13. Azure Big Data Solutions Using Azure Data Lake Storage and Data Factory 14. Azure Stream Analytics and Event Hubs 15. Designing IoT Solutions 16. Other Books You May Enjoy

A primer on Stream Analytics

Event Hubs is only an event ingestion platform, so we need another service that can process these events as a stream rather than just as stored data. Stream Analytics helps in processing and examining a stream of big data, and Stream Analytics jobs help to execute the processing of events.

Stream Analytics can process millions of events per second and it is quite easy to get started with it. Azure Stream Analytics is a PaaS that is completely managed by Azure. Customers of Stream Analytics do not have to manage the underlying hardware and platform.

Each job comprises multiple inputs, outputs, and a query, which does the transformation of incoming data into new output. The whole architecture of Stream Analytics is shown in the following diagram:

In the diagram, on the extreme left are the event sources. These are the sources that produce the events...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image