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Big Data Analytics on Microsoft AZURE

Big Data Analytics on Microsoft AZURE

HDInsight | Spark | Jupyter | Zappelin | Stream Analytics | Lake Analytics | Data Bricks

updated on icon Updated on Jul, 2024

language icon Language - English

person icon Pranjal Srivastava, Harshit Srivastava

English [CC]

category icon Development,Big Data,Azure

Lectures -19

Duration -1.5 hours

4

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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, Data Bricks.

We would be creating resources for Stream Analytics, Spark, HDInsight exploring options. We would be learning all the Analytics services with some use cases.

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.
Big Data Analytics on Microsoft AZURE

Curriculum

Check out the detailed breakdown of what’s inside the course

Welcome to Analytics
5 Lectures
  • play icon Stream Analytics 05:44 05:44
  • play icon HDInsight 06:37 06:37
  • play icon Lake Analytics 07:25 07:25
  • play icon Data Explorer 07:37 07:37
  • play icon Databricks 06:39 06:39
HDInsight
6 Lectures
Tutorialspoint
Streaming Analysis
6 Lectures
Tutorialspoint
Azure Data Lake Storage
1 Lectures
Tutorialspoint

Instructor Details

Pranjal Srivastava

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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