Book Image

Stream Analytics with Microsoft Azure

By : Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
Book Image

Stream Analytics with Microsoft Azure

By: Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh

Overview of this book

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.
Table of Contents (18 chapters)
Title Page
About the Authors
About the Reviewers
Customer Feedback

Services offered by Microsoft

The following is a very well-known classification of the different type of services offered by Microsoft for on-premises and the cloud. Microsoft Azure provides a full spectrum of services starting with Infrastructure as a Service (IaaS), followed by Platform as a Service (PaaS) and Software as a Service (SaaS) models such as Dynamics CRM, Office 365, and so on:

Service classification model

With IaaS, customers can deploy a virtual machine of their choice without the complexity of buying and managing their own hardware/software; they can quickly scale up and down with demand and pay only for what they use. This will reduce operational expenses of hosting and managing infrastructure.

Azure provides a vast range of PaaS services such as web apps, logic apps, media apps, API apps, mobile apps, Azure Stream Analytics, Azure HDInsight, and Azure Redis Cache. PaaS services like PowerApps are targeted at business users to create simple mobile apps and business workflows...