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Introduction to Azure Stream Analytics

Alan Smith

In this course, *Introduction to Azure Stream Analytics*, you’ll learn to leverage the capabilities of Azure Stream Analytics to process, query, and analyze event stream data. First, you’ll explore the concepts of telemetry pipeline architecture and event stream processing. Next, you’ll learn how to use Azure Stream Analytics to query temporal event data, filter telemetry streams, detect anomalies, and generate alerts. You will also explore the analysis and visualization of telemetry data using Microsoft Power BI. Finally, you’ll learn how to deploy, manage, and monitor Azure Stream Analytics jobs in a production environment. When you’re finished with this course, you’ll have the skills and knowledge of Azure Stream Analytics needed to develop and manage telemetry processing pipelines in Microsoft Azure.

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Explores telemetry pipeline architecture, a standard in DevOps
Emphasizes temporal event data querying, highly relevant in data analytics
Utilizes Microsoft Power BI for telemetry data visualization, an industry-leading tool
Covers deployment, management, and monitoring best practices in production environments

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Azure Stream Analytics with these activities:
Review Azure Fundamentals
Reinforce foundational knowledge of Azure services and concepts to enhance comprehension of Azure Stream Analytics capabilities.
Browse courses on Azure Fundamentals
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  • Revisit introductory materials on Azure resources, including compute, storage, and networking.
  • Review documentation and tutorials on Azure architecture and best practices.
Explore Microsoft Docs on Azure Stream Analytics
Deepen understanding of Azure Stream Analytics features, capabilities, and best practices by following guided walkthroughs and tutorials.
Browse courses on Azure Stream Analytics
Show steps
  • Go through the official Microsoft documentation on Azure Stream Analytics.
  • Follow step-by-step tutorials to create and deploy stream processing jobs.
  • Experiment with different query and transformation operators.
Create a Sample Azure Stream Analytics Job
Solidify practical skills in setting up and configuring Azure Stream Analytics jobs by creating sample applications.
Browse courses on Stream Processing
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  • Design a simple stream processing scenario.
  • Create an Azure Stream Analytics job using the Azure portal or Visual Studio.
  • Implement queries to process and analyze event data.
  • Deploy the job and monitor its performance.
Two other activities
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Design a Telemetry Processing Pipeline
Enhance understanding of real-world applications by designing a complete telemetry processing pipeline that incorporates Azure Stream Analytics.
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  • Define the data sources and event schema for the pipeline.
  • Determine the processing requirements and transformation operations.
  • Design the topology and configuration of the Azure Stream Analytics job.
  • Create a visual representation or documentation of the pipeline.
Discuss Advanced Azure Stream Analytics Concepts
Engage in peer discussions to explore advanced concepts, best practices, and real-world challenges related to Azure Stream Analytics.
Browse courses on Advanced Analytics
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  • Connect with peers and form discussion groups.
  • Identify topics for discussion, such as scalability techniques or performance optimizations.
  • Share knowledge, experiences, and insights.

Career center

Learners who complete Introduction to Azure Stream Analytics will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist is a data professional who uses advanced analytical techniques to solve complex business problems. This course, *Introduction to Azure Stream Analytics*, may be useful for individuals pursuing a career as a Data Scientist. It will help in understanding event stream processing and working with tools like Azure Stream Analytics, which can be beneficial for data science projects involving real-time data analysis.
See salaries and explore the career path for Data Scientist
Data Engineer
A Data Engineer is a data professional who builds and maintains the infrastructure used to store, process, and analyze data. This course, *Introduction to Azure Stream Analytics*, may be useful for those looking to become Data Engineers. It introduces essential concepts of telemetry pipeline architecture and event stream processing, which are relevant to the role of a Data Engineer.
See salaries and explore the career path for Data Engineer
Data Analyst
A Data Analyst is a data professional who analyzes datasets to derive meaningful insights. By combining these insights with business knowledge, Data Analysts provide recommendations to help organizations make informed decisions. This course, *Introduction to Azure Stream Analytics*, may be useful to those who aspire to become Data Analysts. It will help build a foundation for understanding event stream processing, which is a vital part of modern data analytics.
See salaries and explore the career path for Data Analyst
Cloud Architect
A Cloud Architect designs and manages cloud computing systems. This course, *Introduction to Azure Stream Analytics*, may be useful for individuals aspiring to become Cloud Architects. It will help in understanding event stream processing in the cloud, which is a critical aspect of cloud architecture.
See salaries and explore the career path for Cloud Architect
Data Architect
A Data Architect designs and manages an organization's data architecture. This course, *Introduction to Azure Stream Analytics*, can be useful for those who want to become Data Architects. It will help build a foundation in event stream processing and Azure Stream Analytics, which is relevant to data architecture in modern organizations.
See salaries and explore the career path for Data Architect
Software Engineer
A Software Engineer designs, develops, and maintains software applications. This course, *Introduction to Azure Stream Analytics*, may be useful for those looking to become Software Engineers. It will help build a foundation in cloud-based data processing, which is becoming increasingly important in software development.
See salaries and explore the career path for Software Engineer
Project Manager
A Project Manager plans, executes, and closes projects. This course, *Introduction to Azure Stream Analytics*, may be useful for aspiring Project Managers. It will help build a foundation in understanding event stream processing and Azure Stream Analytics, which can be beneficial for managing data-intensive projects.
See salaries and explore the career path for Project Manager
Business Analyst
A Business Analyst helps organizations improve their performance by analyzing business processes and developing solutions. This course, *Introduction to Azure Stream Analytics*, may be useful for aspiring Business Analysts. It provides an introduction to event stream processing and Azure Stream Analytics, which can be valuable for understanding data-driven decision-making in business.
See salaries and explore the career path for Business Analyst
Product Manager
A Product Manager is responsible for the development and management of a product. This course, *Introduction to Azure Stream Analytics*, may be useful for those who want to become Product Managers. It will provide an understanding of event stream processing and Azure Stream Analytics, which is becoming increasingly important in data-driven product development.
See salaries and explore the career path for Product Manager
Data Visualization Analyst
A Data Visualization Analyst creates visual representations of data to help organizations understand and communicate data insights. This course, *Introduction to Azure Stream Analytics*, may be helpful for aspiring Data Visualization Analysts. It will help build a foundation in understanding event stream processing and Azure Stream Analytics, which can be beneficial for working with real-time data visualization.
See salaries and explore the career path for Data Visualization Analyst
Database Administrator
A Database Administrator manages and maintains databases. This course, *Introduction to Azure Stream Analytics*, may be useful for those who aspire to become Database Administrators. It will help build a foundation in event stream processing and Azure Stream Analytics, which can be beneficial for managing databases that handle real-time data.
See salaries and explore the career path for Database Administrator
IT Consultant
An IT Consultant provides consulting services to organizations on technology-related issues. This course, *Introduction to Azure Stream Analytics*, may be useful for aspiring IT Consultants. It will help build a foundation in understanding event stream processing and Azure Stream Analytics, which is becoming increasingly important in the IT industry.
See salaries and explore the career path for IT Consultant
Systems Analyst
A Systems Analyst analyzes and designs computer systems. This course, *Introduction to Azure Stream Analytics*, may be useful for those who want to become Systems Analysts. It will help build a foundation in understanding event stream processing and Azure Stream Analytics, which is relevant to designing systems that handle real-time data.
See salaries and explore the career path for Systems Analyst
Marketing Analyst
A Marketing Analyst analyzes marketing data to help organizations understand their customers and make informed marketing decisions. This course, *Introduction to Azure Stream Analytics*, may be useful for aspiring Marketing Analysts. It will help build a foundation in understanding event stream processing and Azure Stream Analytics, which can be beneficial for analyzing real-time marketing data.
See salaries and explore the career path for Marketing Analyst
Technical Writer
A Technical Writer creates written materials about technical subjects. This course, *Introduction to Azure Stream Analytics*, may be useful for those who aspire to become Technical Writers. It will help build a foundation in understanding event stream processing and Azure Stream Analytics, which can be beneficial for writing documentation and training materials on these technologies.
See salaries and explore the career path for Technical Writer

Reading list

We've selected six books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Introduction to Azure Stream Analytics.
Cover image
Big Data Analytics with Java
Save
Focuses on big data analytics using Java and Apache Spark, providing a foundation for those interested in implementing stream analytics solutions using Java. It can serve as additional reading for those seeking to explore the Java-based implementation of stream analytics.
Big Data Analytics with Java: Data analysis,...
Paperback
$$$
Big Data Analytics with Java: Data analysis,...
Kindle Edition
$$
Cover image
Data Mining Techniques
Save
Is well suited for readers who want to understand the basics of data analytics, including some of the best practices. It is useful for beginners.
Data Mining Techniques: For Marketing, Sales, and...
Paperback
$$
Data Mining Techniques: For Marketing, Sales, and...
Paperback
$$
Data Mining Techniques: For Marketing, Sales, and...
Paperback
$$
Data Mining Techniques: For Marketing, Sales, and...
Audio CD
$$
Data Mining Techniques: For Marketing, Sales, and...
Kindle Edition
$$
Cover image
Deep Learning
Save
Is useful for data analytics professionals with some experience who use Microsoft offerings. It provides a good overview of big data analytics tools and technologies.
Deep Learning
Paperback
$$
Deep Learning
Kindle Edition
$
Cover image
Stream Processing with Apache Flink
Save
While this book focuses on Apache Flink, another popular stream processing framework, it can provide insights into alternative approaches to stream analytics. Reading this book can broaden the understanding of stream processing techniques and architectures.
Stream Processing with Apache Flink: Fundamentals,...
Paperback
$$
Stream Processing with Apache Flink: Fundamentals,...
Kindle Edition
$$
Cover image
Big Data: Second Edition
Save
While this book has a broader focus on data analytics rather than specifically on streaming data, it offers a comprehensive introduction to data analysis concepts and techniques. It can provide a good background for those with limited prior knowledge in data analytics.
Big Data: Second Edition
Paperback
Check
Big Data: Second Edition
Kindle Edition
Check
Cover image
Principles of Data Mining
Save
Provides a good overview of the different techniques and tools professionals use to perform data analytics. It good background reference.
Principles of Data Mining (Adaptive Computation and...
Hardcover
$$$

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Course image
Time
2700 hours
Level
Advanced
Via
Pluralsight
Instructor
Alan Smith
Language
English
Good to know
Explores telemetry pipeline architecture, a standard in DevOps
Emphasizes temporal event data querying, highly relevant in data analytics
Utilizes Microsoft Power BI for telemetry data visualization, an industry-leading tool
Covers deployment, management, and monitoring best practices in production environments
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