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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh

Język publikacji: angielskim
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh - okladka książki

Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh - okladka książki

Autorzy:
Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
322
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Microsoft Azure is a very popular cloud computing service used by many organizations around the world. Its latest analytics offering, Stream Analytics, allows you to process and get actionable insights from different kinds of data in real-time.

This book is your guide to understanding the basics of how Azure Stream Analytics works, and building your own analytics solution using its capabilities. You will start with understanding what Stream Analytics is, and why it is a popular choice for getting real-time insights from data. Then, you will be introduced to Azure Stream Analytics, and see how you can use the tools and functions in Azure to develop your own Streaming Analytics. Over the course of the book, you will be given comparative analytic guidance on using Azure Streaming with other Microsoft Data Platform resources such as Big Data Lambda Architecture integration for real time data analysis and differences of scenarios for architecture designing with Azure HDInsight Hadoop clusters with Storm or Stream Analytics. The book also shows you how you can manage, monitor, and scale your solution for optimal performance.

By the end of this book, you will be well-versed in using Azure Stream Analytics to develop an efficient analytics solution that can work with any type of data.

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O autorach książki

Krishna is a Cloud Solution Architect working at Microsoft. He has worked with large Public Sector, Finserv customers around the world building and deploying innovate solutions the solves their business challenges through technology and business process changes. Currently, Krishna is helping Finserv and Telco’s with their Cloud Journey.
Anindita Basak is a cloud architect with almost 15+ years of experience, the last 12 years of which she has been extensively working on Azure. She has delivered various real-time implementations on Azure data analytics, and cloud-native and real-time event-driven architecture for Fortune 500 enterprises, ranging from banking, financial services, and insurance (BFSI)to retail sectors. She is also a cloud and DataOps trainer and consultant, and author of cloud AI and DevOps books.
Ryan Murphy, one of the key Co-authors of Stream Analytics with Microsoft Azure is a Solution Architect living in Saint Louis, Missouri. He has been building and innovating with data for nearly twenty years, including extensive work in the gaming and agriculture industries. Currently, Ryan is helping some of the worlds largest organizations modernize their business with data solutions powered by the Microsoft Azure cloud.
Manpreet Singh is a consultant and author with extensive expertise in architecture, design, and implementation of business intelligence and Big Data analytics solutions. He is passionate about enabling businesses to derive valuable insights from their data. Manpreet has been working on Microsoft technologies for more than 10 years, with a strong focus on Microsoft Business Intelligence Stack, SharePoint BI, and Microsofts Big Data Analytics Platforms (Analytics Platform System and HDInsight). He also specializes in Mobile Business Intelligence solution development and has helped businesses deliver a consolidated view of their data to their mobile workforces. Manpreet has coauthored books and technical articles on Microsoft technologies, focusing on the development of data analytics and visualization solutions with the Microsoft BI Stack and SharePoint. He holds a degree in computer science and engineering from Punjab University, India.

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