Introduction to Data Analytics on Amazon AWS Cloud - RedShift - Glue - QuickSight

[LeeAndro]

Duration: 5h 8m | Video: .MP4, 1280x720, 60 fps | Audio: AAC, 48 kHz, 2ch | Size: 2.17 GB
Genre: eLearning | Language: English

This course is designed for the students who are at their initial stage or at the bner level in learning data analytics, cloud computing data visualization and Analytics using the AWS Cloud Services.

Learn AWS Redshift Essentials, AWS Glue (Extract, Transform, Load Process) and AWS QuickSight with Practical Code Labs

This course focuses on what cloud computing is followed by some essential concepts of data analytics. It also has practical hands-on lab exercises which covers a major portion of importing and perfog some Analytics on the datasets.

The ETL tool used is AWS Glue and analytics is performed using a visual tool known as QuickSight. The lab portion covers all the essentials of the two platforms starting from importing the datasets, loading it, perfog powerful SQL queries and then analyzing the same data using the visual graphical tools available on QuickSight platform.

The course goes into AWS core product of data-warehousing Redshift which is a fully managed, petabyte-scale data warehouse service in the cloud. You can start with just a few hundred gigabytes of data and scale to a petabyte or more.

This course will give you the experience to leverage the data analytical strengths of AWS Cloud and strengthen your resume. This will also enable with skills to acquire new insights for your business and customers.

Please join us in this end to end course which will take you through the learning journey of AWS core products.




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