Microsoft Azure: Big Data and Analytics Training
HDInsight | Spark | Jupyter | Zappelin | Stream Analytics | Lake Analytics
Lectures -19
Duration -1.5 hours
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Course Description
This course is all about learning various cloud analytics options available on Microsoft Azure cloud platform. We will explore following data analytics services-
HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Lake Analytics.
This mentioned azure analytics services help you to get useful insights from such a big data. No matter the data which is going to be analysed is real time or stored somewhere.
But yes this azure analytics services really sought out the things to make business profitable. As today, most companies and organizations want more and more analyst so that they can take steps for the betterment of the process.
So all the bests and get ready to analyse big data.
Goals
- In this course we would explore various Big Data Analytics services available on Microsoft Azure cloud.
- We would learn HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Lake Analytics, Data Bricks.
Prerequisites
- A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.
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Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
1 Lectures
-
Introduction to Big Data Certification Exam 06:50 06:50
Welcome to Analytics
5 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
HDInsight
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Streaming Analysis
6 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Pranjal Srivastava](https://www.tutorialspoint.com/assets/profiles/137804/profile/200_175574-1578059958.jpg)
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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