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- Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
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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
Ebook
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.
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.
- 1. Introducing Stream Processing and Real-time Insights
- 2. Introducing Azure Stream Analytics and Key advantages
- 3. Designing Real Time Streaming Pipeline
- 4. Developing real-time event processing with Azure Streaming
- 5. Building using Stream Analytics Query Language
- 6. How to achieve Seamless Scalability with Automation
- 7. Integration of Microsoft Business Intelligence and Big Data
- 8. Designing & Managing of Stream Analytics jobs
- 9. Optimizing Intelligence in Azure Streaming
- 10. Understand Stream Analytics job monitoring and how to monitor queries
- 11. Use Cases on Real World Data Streaming Architectures
- Title: Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
- Author: Krishnaswamy Venkataraman, Anindita Basak, Ryan Murphy, Manpreet Singh
- Original title: Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
- ISBN: 9781788390620, 9781788390620
- Date of issue: 2017-12-01
- Format: Ebook
- Item ID: e_15tl
- Publisher: Packt Publishing