As the old adage says: “Information is Power”. For some time now, and with the boom of the Internet and social media, data is playing an increasingly bigger role in all organizations, which are continuously looking for solutions that will enable us to capture data from different internet sources, and analyze it in an as close to real-time rate as possible. This has caused organizations to invest in building solutions that can not only obtain and review data in depth and in real-time, but also save time in scheduling recurrent tasks and integrate with other systems seamlessly, allowing for scalability and availability while minimizing faults and latency. Having the right information in time is a now a critical aspect to making strategic business decisions. This is where Azure Stream Analytics comes in, to provide an effective solution to this business need. Azure Stream Analytics, or ASA, is an independent, cost-effective, and near real-time processing agent that enables you to view and explore streaming data at a high-performance level. Using this portal, you can set up data streaming computations from devices, sensors, websites, social media, applications, infrastructure systems, and more with just a few clicks.Do you know what it takes to design and deploy sophisticated data analytics pipelines which can transform data into actionable insights and predictions in near real-time? How does one go about scaling this data analysis infrastructure? How to easily develop and run massively parallel real-time analytics on multiple IoT or non-IoT streams of data using a simple SQL like language? These are some of the fundamental problems data analysts and data scientists struggle with on a daily basis.
What You Will Learn
- Learn about Azure Stream Analytics.
- Learn how to input data into Azure ASA.
- Learn how to create queries and data analysis pipelines with Azure ASA.
- Learn how to output the results of the data analysis pipeline to various output formats.
- Learn how to work with Azure ASA and Microsoft PowerBI. Learn how to visualize your data.
Data scientists. Database administrators. Software and IT engineers. Cloud engineers. Software architects. Technical and non-technical tech founders
About The Author
Manuj Aggarwal: Manuj Aggarwal is an entrepreneur, investor, and technology enthusiast. Over the last few years, he has been a business owner, technical architect, CTO, coder, start up consultant, and more.
Currently, he is the principal consultant, architect, and CTO of a software consulting company, TetraNoodle Technologies, based in Vancouver, Canada. He works with various start-ups on a number of cutting edge and interesting problems. Whether it is ideation and the refining of your start up idea, or building a dream team to execute the idea, he provides a diverse set of solutions that help these start-ups to succeed in their plans.
He has been active in the software industry since 1997, and has worked with early-stage businesses through to Fortune 100 mega-corporations. He is passionate about sharing all the knowledge that he has acquired over the years. He is particularly interested in helping technical and non-technical entrepreneurs, founders, and co-founders of tech start-ups.
Table of contents
- Chapter 1 : Introduction
- Chapter 2 : Introduction to Azure Stream Analytics
- Chapter 3 : Deep Dive into Azure Stream Analytics Jobs
- Chapter 4 : Build Azure Stream Analytics Pipeline
- Chapter 5 : Run Azure Stream Analytics Job
- Chapter 6 : Azure Stream Analytics Components
- Chapter 7 : Azure Stream Analytics and Microsoft PowerBI
- Chapter 8 : Visualize Azure ASA Output in Microsoft PowerBI
- Chapter 9 : Conclusion
- Title: Azure MasterClass: Analyze Data With Azure Stream Analytics
- Release date: June 2018
- Publisher(s): Packt Publishing
- ISBN: 9781789340327
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