Big Data Analysis on AWS and Microsoft Azure

Big Data Analysis on AWS and Microsoft Azure

Big Data Analysis on AWS and Microsoft Azure

Learn various tool for big data analysis on cloud

Language: english

Note: 0/5 (0 notes) 597 students  New course 

Instructor(s): Harshit Srivastava

Last update: 2022-11-05

What you’ll learn

  • 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

 

Requirements

  • 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.

 

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

 

Who this course is for

  • Anyone who is curious to learn Data Analysis on AWS Cloud
  • Students and IT professionals interested in learning AWS Glue, Athena
  • Interested in creating a Crawler in AWS Glue to create a dataset with schema
  • Would be interested in learning various Big Data Analytics services and options available on Microsoft Azure.
  • Want to make a career in Cloud Computing and Data Analytics.

 

Course content

  • Introduction
    • Course Introduction
  • AWS Glue
    • 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
  • AWS Athena
    • Run SQL Queries on Athena and store output in S3 bucket
    • Create and Save Custom Query in AWS Athena
  • HDInsight on Azure
    • Getting started with Azure HDInsight
    • More on HDInsight
  • Streaming Analysis on Azure
    • Getting started with Streaming Analytics
    • Connecting input with Stream Analytics job
    • Connecting output with Stream Analytics job
    • Let’s write a transformation query
    • Results
    • Conclusion

 

Big Data Analysis on AWS and Microsoft AzureBig Data Analysis on AWS and Microsoft Azure

 

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