Stream Analytics with Microsoft Azure: real-time data processing for quick insights using Azure Stream Analytics
Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft Azure About This Book Analyze your data from various sources using Microsoft Azure Stream Analytics Develop, manage and automate your stream analytics solution with Microsoft Azure A practical guide to re...
Gespeichert in:
| Beteiligte Personen: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing
2017
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781788395908/?ar |
| Zusammenfassung: | Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft Azure About This Book Analyze your data from various sources using Microsoft Azure Stream Analytics Develop, manage and automate your stream analytics solution with Microsoft Azure A practical guide to real-time event processing and performing analytics on the cloud Who This Book Is For If you are looking for a resource that teaches you how to process continuous streams of data in real-time, this book is what you need. A basic understanding of the concepts in analytics is all you need to get started with this book What You Will Learn Perform real-time event processing with Azure Stream Analysis Incorporate the features of Big Data Lambda architecture pattern in real-time data processing Design a streaming pipeline for storage and batch analysis Implement data transformation and computation activities over stream of events Automate your streaming pipeline using Powershell and the .NET SDK Integrate your streaming pipeline with popular Machine Learning and Predictive Analytics modelling algorithms Monitor and troubleshoot your Azure Streaming jobs effectively In Detail 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. Style and... |
| Beschreibung: | Online resource; title from title page (viewed January 10, 2018) |
| Umfang: | 1 Online-Ressource (1 volume) illustrations |
| ISBN: | 9781788390620 1788390628 1788395905 9781788395908 |
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| spelling | Basak, Anindita VerfasserIn aut Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics Anindita Basak, Krishna Venkataraman, Ryan Murphy, Manpreet Singh Birmingham, UK Packt Publishing 2017 1 Online-Ressource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title page (viewed January 10, 2018) Develop and manage effective real-time streaming solutions by leveraging the power of Microsoft Azure About This Book Analyze your data from various sources using Microsoft Azure Stream Analytics Develop, manage and automate your stream analytics solution with Microsoft Azure A practical guide to real-time event processing and performing analytics on the cloud Who This Book Is For If you are looking for a resource that teaches you how to process continuous streams of data in real-time, this book is what you need. A basic understanding of the concepts in analytics is all you need to get started with this book What You Will Learn Perform real-time event processing with Azure Stream Analysis Incorporate the features of Big Data Lambda architecture pattern in real-time data processing Design a streaming pipeline for storage and batch analysis Implement data transformation and computation activities over stream of events Automate your streaming pipeline using Powershell and the .NET SDK Integrate your streaming pipeline with popular Machine Learning and Predictive Analytics modelling algorithms Monitor and troubleshoot your Azure Streaming jobs effectively In Detail 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. Style and... Microsoft Azure (Computing platform) Cloud computing Data mining Infonuagique Exploration de données (Informatique) Microsoft Azure (Plateforme informatique) Venkataraman, Krishna VerfasserIn aut Murphy, Ryan VerfasserIn aut Singh, Manpreet VerfasserIn aut |
| spellingShingle | Basak, Anindita Venkataraman, Krishna Murphy, Ryan Singh, Manpreet Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics Microsoft Azure (Computing platform) Cloud computing Data mining Infonuagique Exploration de données (Informatique) Microsoft Azure (Plateforme informatique) |
| title | Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics |
| title_auth | Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics |
| title_exact_search | Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics |
| title_full | Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics Anindita Basak, Krishna Venkataraman, Ryan Murphy, Manpreet Singh |
| title_fullStr | Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics Anindita Basak, Krishna Venkataraman, Ryan Murphy, Manpreet Singh |
| title_full_unstemmed | Stream Analytics with Microsoft Azure real-time data processing for quick insights using Azure Stream Analytics Anindita Basak, Krishna Venkataraman, Ryan Murphy, Manpreet Singh |
| title_short | Stream Analytics with Microsoft Azure |
| title_sort | stream analytics with microsoft azure real time data processing for quick insights using azure stream analytics |
| title_sub | real-time data processing for quick insights using Azure Stream Analytics |
| topic | Microsoft Azure (Computing platform) Cloud computing Data mining Infonuagique Exploration de données (Informatique) Microsoft Azure (Plateforme informatique) |
| topic_facet | Microsoft Azure (Computing platform) Cloud computing Data mining Infonuagique Exploration de données (Informatique) Microsoft Azure (Plateforme informatique) |
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