Big Data Analytics with AWS and Microsoft Azure

person icon Pranjal Srivastava

Big Data Analytics with AWS and Microsoft Azure

HDInsight | Spark | Jupyter | Zappelin | Stream Analytics | Athena | CloudSearch

updated on icon Updated on Sep, 2023

language icon Language - English

person icon Pranjal Srivastava

architecture icon Development,Big Data,AWS


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Course Description

This course is all about learning various cloud Analytics options available on Microsoft AZURE and AWS cloud platforms. We will explore following Data Analytics services-

HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics, Athena and Cloudsearch.

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

Analytics plays very important role in the world of big data. There is no use of big data if we can not extract proper or meaningful insights from that. In short more data means better analysis, better analysis means better decision which makes organisation profitable.

AWS Analytics tools like

  • Amazon Athena (Querying data instantly and get results in seconds)

  • Amazon CloudSearch (Makes it simple and cost-effective to set up, manage, and scale a search solution for your website or application)


What will you learn in this course:

  • Confidently work with various Big Data Analytics services available on Amazon AWS and Microsoft Azure cloud
  • Develop skills on HDInsight, Apache Spark, Jupyter, Zappelin, Stream Analytics
  • Move and transform massive data streams with Athena


What are the prerequisites for this course?

  • 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 with AWS and Microsoft Azure


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

AWS Analytics
2 Lectures
  • play icon Analytics intro 04:14 04:14
  • play icon Athena 05:54 05:54
Amazon S3: Adding data into bucket
2 Lectures
DML Statements (Select,Insert,Update,etc)
4 Lectures
DDL Statements(Create,Drop,Alter,etc)
3 Lectures
4 Lectures
Streaming Analysis
6 Lectures
Azure HDInsight
6 Lectures

Instructor Details

Pranjal Srivastava

Pranjal Srivastava

SME of AWS & IBM Cloud

I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.

I have authored 60+ courses on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.

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