This course is designed for the students who are at their initial stage or at the beginner level in learning data analytics, cloud computing data visualization and Analytics using the Amazon AWS Cloud Services.
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 cover a major portion of importing and performing some Analytics on the datasets.
This course is the ideal place for beginners to begin learning about big data and cloud computing, while gaining hands-on experience using the Amazon AWS Cloud. Being an extensive overview of the various open source tools available, you’ll be able to get started quickly. It is geared towards giving you a general sense of what’s happening in this exciting field, with practical applications that can be used immediately.
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, performing powerful SQL queries and then analyzing the same data using the visual graphical tools available on the QuickSight platform.
Who this course is for:
- Beginners in Data Visualization, Data Warehousing.
- Students at their initial stage of learning Amazon Web Services.
- Students at their initial stage of learning AWS Redshift.
- Beginners in learning AWS Glue for ETL Service