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Learn various tool for big data analysis on cloud

What you will 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

Description

In this course you will learn about various cloud services on AWSΒ 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-


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  • 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
English
language

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