Stream Analytics with Microsoft Azure

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 ...

Cover -- Copyright -- Credits -- About the Authors -- About the Reviewers -- www.PacktPub.com -- Customer Feedback -- Table of Contents -- Preface -- Chapter 1: Introducing Stream Processing and Real-Time Insights -- Understanding stream processing -- Understanding queues, Pub/Sub, and events -- Queues -- Publish and Subscribe model -- Real-world implementations of the Publish/Subscribe model -- Azure implementation of queues and Publish/Subscribe models -- What is an event? -- Event streaming -- Event correlation -- Azure implementation of event processing -- Architectural components of Event Hubs -- Simple event processing -- Event stream processing -- Complex event processing -- Summary -- Chapter 2: Introducing Azure Stream Analytics and Key Advantages -- Services offered by Microsoft -- Introduction to Azure Stream Analytics -- Configuration of Azure Stream Analytics -- Key advantages of Azure Stream Analytics -- Security -- Programmer productivity -- Declarative SQL constructs -- Built-in temporal semantics -- Lowest total cost of ownership -- Mission-critical and enterprise-less scalability and availability -- Global compliance -- Microsoft Cortana Intelligence suite integr…