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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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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

What is Big Data Lambda Architecture?


There are scenarios of fast and slow data processing in terms of hot and cold paths of event streaming respectively in this era of big data and Internet of Things (IoT). In data-oriented software systems, the architecture pattern that has been derived to handle both fast and persistent data paths simultaneously is known as Lambda Architecture. It's a powerful data processing pattern utilized for both big data and IoT data processing architectures.

Lambda Architecture gives the benefit of handling massive amounts of petabyte-scale data to be processed both in batch as well as interactive mode.

Concepts of batch processing and stream processing in data analytics

The execution of a job in a series of small processes (batch) is known as batch processing, where the input data is divided into a number of chunks with a series of batch jobs. According to Wikipedia, the batch data processing has prevailed from the early nineteenth century for the processing of punch...

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