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Stream Analytics with Microsoft Azure

You're reading from   Stream Analytics with Microsoft Azure Real-time data processing for quick insights using Azure Stream Analytics

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788395908
Length 322 pages
Edition 1st Edition
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Authors (4):
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Krishnaswamy Venkataraman Krishnaswamy Venkataraman
Author Profile Icon Krishnaswamy Venkataraman
Krishnaswamy Venkataraman
Ryan Murphy Ryan Murphy
Author Profile Icon Ryan Murphy
Ryan Murphy
Manpreet Singh Manpreet Singh
Author Profile Icon Manpreet Singh
Manpreet Singh
Anindita Basak Anindita Basak
Author Profile Icon Anindita Basak
Anindita Basak
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introducing Stream Processing and Real-Time Insights FREE CHAPTER 2. Introducing Azure Stream Analytics and Key Advantages 3. Designing Real-Time Streaming Pipelines 4. Developing Real-Time Event Processing with Azure Streaming 5. Building Using Stream Analytics Query Language 6. How to achieve Seamless Scalability with Automation 7. Integration of Microsoft Business Intelligence and Big Data 8. Designing and Managing Stream Analytics Jobs 9. Optimizing Intelligence in Azure Streaming 10. Understanding Stream Analytics Job Monitoring 11. Use Cases for Real-World Data Streaming Architectures

Comparison between Azure Stream Analytics and Azure HDInsight Storm


Microsoft announced the availability of a managed real-time data stream engine- Azure Stream Analytics in late 2014, then within a few months, also declared the offering of an interactive open source big data framework—Apache Storm with Azure Hadoop clusters as HDInsight Storm. As an open source tool, Storm with HDInsight has got the capability of integrating with programming languages like Java and Python along with support in Visual Studio IDE using .NET-based APIs for development on Storm applications, Storm HBase, Storm Event Hub, Storm with Document DB/Azure SQL DB reader, and writer sample demos. Both real-time stream processing solutions are offered as managed Platform as a Service (Paas) models, where users will be charged per unit of clusters and the number of running Storm cluster hours in HDInsight; whereas Stream Analytics charging is based on the provisioned number of Streaming Units and the amount of data processed...

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