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Performing Real Time Analytics with Stream Analytics

Dean Savovic

In this 1-hour long project-based course, you will learn how to (stream and process events with Azure Stream Analytics, data Ingestion with Event Hubs, processing data with Stream Analytics Jobs).

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In this 1-hour long project-based course, you will learn how to (stream and process events with Azure Stream Analytics, data Ingestion with Event Hubs, processing data with Stream Analytics Jobs).

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Project Overview
In this project, you will learn the concepts of event processing and streaming data and how this applies to Events Hubs and Azure Stream Analytics. You will then set up a stream analytics job to stream data and learn how to query the incoming data to perform analysis of the data. Finally, you will learn how to manage and monitor running jobs.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Course focuses on trending technology: stream and process events with Azure Stream Analytics
Appropriate for those who are entry-level in the field of streaming data processing
Beginners can learn the basics of event processing and streaming data
There are hands-on, practical projects to solidify learning
Additional courses may be required to dive deeper into the subject

Save this course

Save Performing Real Time Analytics with Stream Analytics to your list so you can find it easily later:
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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 Performing Real Time Analytics with Stream Analytics with these activities:
Review Stream Analytics concepts
Revisit the core concepts of Stream Analytics to ensure a solid foundation.
Browse courses on Stream Analytics
Show steps
  • Review the official documentation on Stream Analytics.
  • Watch introductory videos or tutorials on Stream Analytics.
Join a study group or forum
Collaborate with peers to discuss concepts, ask questions, and share knowledge about Stream Analytics.
Show steps
  • Identify and join online study groups or forums dedicated to Stream Analytics.
  • Participate actively in discussions and ask for help when needed.
Analyze sample data using Stream Analytics Explorer
Gain hands-on experience by analyzing streaming data using the Stream Analytics Explorer.
Show steps
  • Obtain sample data or create your own.
  • Load the data into the Stream Analytics Explorer.
  • Write queries to explore and analyze the data.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Create a stream analytics job
Apply your understanding of Stream Analytics by creating a job to process and analyze streaming data.
Show steps
  • Design the schema for your input data.
  • Configure the input source and output sink for your job.
  • Define the queries to process the data.
  • Deploy and test your job.
Attend a workshop or webinar on Stream Analytics
Enhance your knowledge and skills by attending a workshop or webinar led by experts in Stream Analytics.
Show steps
  • Research upcoming workshops or webinars on Stream Analytics.
  • Register and attend the event.
Follow tutorials on advanced Stream Analytics features
Enhance your skills by exploring advanced topics and techniques in Stream Analytics.
Show steps
  • Identify specific areas where you want to improve your knowledge.
  • Search for and enroll in online tutorials or courses.
Contribute to open-source projects related to Stream Analytics
Enhance your understanding and make a meaningful contribution by participating in open-source projects related to Stream Analytics.
Show steps
  • Identify open-source projects that align with your interests.
  • Review the documentation and contribute code or documentation.
Participate in a hackathon or competition involving Stream Analytics
Challenge yourself and showcase your skills by participating in a hackathon or competition that focuses on Stream Analytics.
Show steps
  • Identify relevant hackathons or competitions.
  • Form a team or participate individually.

Career center

Learners who complete Performing Real Time Analytics with Stream Analytics will develop knowledge and skills that may be useful to these careers:
Statistician
Statisticians collect, analyze, and interpret data to help businesses make informed decisions. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Statistics.
See salaries and explore the career path for Statistician
Data Analyst
Data Analysts gather, clean, and analyze data to identify trends and patterns, which helps businesses make informed decisions. This course in Performing Real Time Analytics with Stream Analytics will help build a foundation in streaming data and event processing, which are essential skills for Data Analysts.
See salaries and explore the career path for Data Analyst
Data Engineer
Data Engineers design and build systems for storing, processing, and analyzing data. This course will help build a foundation in streaming data and event processing, which are essential skills for Data Engineers.
See salaries and explore the career path for Data Engineer
Data Visualization Specialist
Data Visualization Specialists create visualizations of data to help people understand it more easily. This course will help you gain experience with Azure Stream Analytics, which can be used to analyze data in real time and create visualizations.
See salaries and explore the career path for Data Visualization Specialist
Business Analyst
Business Analysts help businesses understand their data and make better decisions. This course will help you gain experience with Azure Stream Analytics, which can be used to analyze data in real time and identify trends and patterns.
See salaries and explore the career path for Business Analyst
Cloud Architect
Cloud Architects design and implement cloud-based solutions for businesses. This course will help you gain experience with Azure Stream Analytics, which is a cloud-based service for real-time data processing and analysis.
See salaries and explore the career path for Cloud Architect
Risk Analyst
Risk Analysts analyze data to identify and mitigate risks. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Risk Management.
See salaries and explore the career path for Risk Analyst
Data Scientist
Data Scientists use their knowledge of statistics, mathematics, and programming to extract insights from data. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Data Science.
See salaries and explore the career path for Data Scientist
Marketing Analyst
Marketing Analysts analyze data to understand customer behavior and make marketing decisions. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Marketing.
See salaries and explore the career path for Marketing Analyst
Sales Analyst
Sales Analysts analyze data to understand sales trends and make sales decisions. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Sales.
See salaries and explore the career path for Sales Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to solve business problems. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Operations Research.
See salaries and explore the career path for Operations Research Analyst
Financial Analyst
Financial Analysts analyze financial data to make investment recommendations. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Finance.
See salaries and explore the career path for Financial Analyst
Software Engineer
Software Engineers design, develop, and maintain software applications. This course will help you gain experience with Azure Stream Analytics, which can be used to build real-time data processing and analysis applications.
See salaries and explore the career path for Software Engineer
Machine Learning Engineer
Machine Learning Engineers develop and implement machine learning models. This course will help build a foundation in streaming data and event processing, which are becoming increasingly important in the field of Machine Learning.
See salaries and explore the career path for Machine Learning Engineer
Product Manager
Product Managers are responsible for the development and launch of new products. This course will help you gain experience with Azure Stream Analytics, which can be used to analyze data in real time and identify customer needs.
See salaries and explore the career path for Product Manager

Reading list

We've selected eight 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 Performing Real Time Analytics with Stream Analytics.
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High Performance Browser Networking
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High Performance Browser Networking: What every web...
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(中文) Web性能权威指南 (图灵程序设计丛书) (Chinese Edition)
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$
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Building Microservices
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Provides a practical guide to building microservices, a popular architectural style for building distributed applications. It valuable resource for anyone who wants to learn more about the design and implementation of microservices.
Building Microservices: Designing Fine-Grained...
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Building Microservices: Designing Fine-Grained...
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Spiral-bound
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Building Microservices
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Data-Intensive Text Processing with MapReduce
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Provides a comprehensive overview of data-intensive text processing with MapReduce, a popular programming model for processing large datasets. It valuable resource for anyone who wants to learn more about the challenges and techniques involved in processing text data with MapReduce.
Data-Intensive Text Processing with MapReduce...
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Machine Learning with R
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Provides a practical guide to machine learning with R, a popular programming language for data science. It valuable resource for anyone who wants to learn more about the challenges and techniques involved in machine learning with R.
Machine Learning with R - Fourth Edition: Learn...
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Machine Learning with R - Second Edition: Expert...
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Machine Learning with R - Third Edition: Expert...
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R: Unleash Machine Learning Techniques
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Machine Learning with R: Learn How to Use R to...
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Deep Learning with Python, Second Edition
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Provides a practical guide to deep learning with Python, a popular programming language for deep learning. It valuable resource for anyone who wants to learn more about the challenges and techniques involved in deep learning with Python.
Deep Learning with Python, Second Edition
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Deep Learning with Python, Second Edition
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Natural Language Processing with Python
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Provides a comprehensive overview of natural language processing with Python, a popular programming language for natural language processing. It valuable resource for anyone who wants to learn more about the challenges and techniques involved in natural language processing with Python.
Natural Language Processing with Python: Analyzing...
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Natural Language Processing with Python: Analyzing...
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Hybrid Imaging and Visualization
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Provides a practical guide to computer vision with Python, a popular programming language for computer vision. It valuable resource for anyone who wants to learn more about the challenges and techniques involved in computer vision with Python.
Hybrid Imaging and Visualization: Employing Machine...
Kindle Edition
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Speech and Language Processing. An Introduction to...
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Provides a comprehensive overview of speech and language processing, a popular field in natural language processing. It valuable resource for anyone who wants to learn more about the challenges and techniques involved in speech and language processing.
Speech and Language Processing An Introduction to...
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Effort
1 hour
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Dean Savovic
Language
English
Good to know
Course focuses on trending technology: stream and process events with Azure Stream Analytics
Appropriate for those who are entry-level in the field of streaming data processing
Beginners can learn the basics of event processing and streaming data
There are hands-on, practical projects to solidify learning
Additional courses may be required to dive deeper into the subject
Share and help others discover this course.
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