Book description
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 approach
A comprehensive guidance on developing real-time event processing with Azure Stream Analysis
Table of contents
- Preface
- Introducing Stream Processing and Real-Time Insights
- Introducing Azure Stream Analytics and Key Advantages
- Designing Real-Time Streaming Pipelines
-
Developing Real-Time Event Processing with Azure Streaming
- Stream Analytics tools for Visual Studio
- Defining a Stream Analytics query for Vehicle Telemetry job analysis using Stream Analytics tools
- Implementation of an Azure Stream Analytics job using the Azure portal
- Summary
- Building Using Stream Analytics Query Language
- How to achieve Seamless Scalability with Automation
-
Integration of Microsoft Business Intelligence and Big Data
- What is Big Data Lambda Architecture?
- Moving to the streaming-based data solution pattern
- Evolution of Kappa Architecture and benefits
- Comparison between Azure Stream Analytics and Azure HDInsight Storm
- Designing data processing pipeline of an interactive visual dashboard through Stream Analytics and Power BI
- Summary
-
Designing and Managing Stream Analytics Jobs
-
Reference data streams with Azure Stream Analytics
- Configuration of Reference data for Azure Stream Analytics jobs
- Configuration of output data sinks for Azure Stream Analytics with Azure Data Lake Store
- Configuring Azure Cosmos DB as an output data sink for Azure Stream Analytics
- Stream Analytics job output to Azure Function Apps as Serverless Architecture
- Summary
-
Reference data streams with Azure Stream Analytics
-
Optimizing Intelligence in Azure Streaming
- Integration of JavaScript user-defined functions using Azure Stream Analytics
- Summary
- Understanding Stream Analytics Job Monitoring
-
Use Cases for Real-World Data Streaming Architectures
-
Solution architecture design and Proof-of-Concept implementation of social media sentiment analytics using Twitter and a sentiment analytics dashboard
- Definition of sentiment analytics
- Remote monitoring analytics using Azure IoT Suite
- Implementation of a connected factory use case using Azure IoT Suite
- Real-world telecom fraud detection analytics using Azure Stream Analytics and Cortana Intelligence Gallery with interactive visuals from Microsoft Power BI
- Summary
-
Solution architecture design and Proof-of-Concept implementation of social media sentiment analytics using Twitter and a sentiment analytics dashboard
Product information
- Title: Stream Analytics with Microsoft Azure
- Author(s):
- Release date: December 2017
- Publisher(s): Packt Publishing
- ISBN: 9781788395908
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