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Learn Big Data Analysis on AWS and Microsoft Azure

Learn Big Data Analysis on AWS and Microsoft Azure

Learn various tool for big data analysis on cloud

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Pranjal Srivastava, Harshit Srivastava

category icon Data Analysis,AWS Certification,IT & Software

Lectures -20

Duration -1.5 hours

4.2

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Course Description

In this course you will learn about various cloud services on AWS and Microsoft Azure that can be used for simple Data Analytics and Big Data Analytics. You can choose a combination of cloud resources and methods that can be integrated together to build a solution and various use cases. This course begins with lessons on Amazon Glue that is widely used by developers to build a crawler that can span through a variety of data sources and fetch some useful data from them and store those information in Amazon Athena as datasets. Later on, we can perform various types of operations and run SQL queries on Athena just any other database for finding useful insights from dataset. Moreover, you can also prepare a dataset by transforming it using SQL.

On AWS, you will learn about-

  • Create a S3 bucket and add dataset

  • Create a Crawler using AWS Glue

  • Configuring output database name for crawler

  • Customize Schema, find table details in Glue and Log groups in Cloud

  • Run SQL Queries on Athena and store output in S3 bucket

  • Create and Save Custom Query in AWS Athena

After covering AWS Glue, S3 and Athena, you would learn about various Data Analysis services on Microsoft Azure. You will learn with hands-on practical lessons first on Azure HDInsight followed by Streaming Analysis.

On Microsoft Azure, you will learn about-

  • Stream Analytics

  • HDInsight

Goals

What will you learn in this course:

  • You could create a Crawler using AWS Glue for creating a dataset and find its schema
  • You could perform data analysis on a dataset by running SQL queries in AWS Athena
  • In this course we would explore various Big Data Analytics services available on Microsoft Azure cloud.
  • You would learn HDInsight, and Streaming Analysis on Microsoft Azure

Prerequisites

What are the prerequisites for this course?

  • You must be familiar with AWS and Microsoft Azure at fundamental level.
  • A basic understanding of Data Analytics concepts would be more than sufficient, however it is not required to begin with this course.
Learn Big Data Analysis on AWS and Microsoft Azure

Curriculum

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

Course Introduction
1 Lectures
  • play icon Introduction
AWS Glue
4 Lectures
Tutorialspoint
AWS Athena
2 Lectures
Tutorialspoint
HDInsight on Azure
2 Lectures
Tutorialspoint
Streaming Analysis on Azure
6 Lectures
Tutorialspoint
Data Analytics on Azure
5 Lectures
Tutorialspoint

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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