Data Analysis on AWS- Glue, Athena, Quicksight
Data Analysis on AWS- Glue, Athena, Quicksight
Duration: 1h 35m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 602 MB
Genre: eLearning | Language: English [Auto]
Duration: 1h 35m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 602 MB
Genre: eLearning | Language: English [Auto]
Learn to create Glue Crawler, run SQL queries in Athena and create Visualization Charts using AWS Quicksight
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
You could Prepare your dataset for finding Insights in AWS Quicksight
You could create Visualization Charts and BI reports in AWS Quicksight and find Insights
Requirements
If you are already familiar with AWS cloud computing platform, it would be helpful.
Description
In this course, you would learn about various cloud services on Amazon Web Services or AWS Cloud computing platform. Here you will learn to perform Data Analysis on a dataset to find various insights that can be used in taking critical decisions based on the data. There are various methods for Data Analysis. You can write SQL queries to find relevant information from a dataset stored in a database. You could also use Business Intelligence tools such as AWS Quicksight to create Visualization charts and Analytics report that can also be used to present insights in visually appealing way using colorful charts with creative parameters.
In this course you would be learning various AWS Analytics services as below-
AWS Glue
Amazon Athena
AWS Quicksight
There are various steps involved from data preparation and cleaning, to analysis and visualization. Here in this course, you would learn to create a Crawler using AWS Glue that can span through the dataset kept in Amazon S3 or DynamoDB and detect the schema. This crawler could be used to create a database where you can run SQL queries using AWS Athena for finding insights based on certain conditions and parameters defined. You could also customize records in a table using SQL queries and perform other operations as well. SQL is a Structured Query Language that is widely used for Data Analysis on databases, and we can use the same on AWS cloud computing platform.
Moreover, you will also learn to create visualization charts and BI reports using AWS Quicksight. You will learn to create various kinds of Visualization charts in Quicksight such as Treemap, word cloud, bar, pie chart and much more. You would also learn to prepare your dataset before creating Visualization charts.
All these skills when combined together can be used for Data Science projects as well.
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 and Quicksight
Anyone interested in learning Data Visualization and Data Preparation with AWS Quicksight
Interested in creating a Crawler in AWS Glue to create a dataset with schema
In running SQL queries using Amazon Athena
More Info