AWS Data Engineering is the study of Data Pipelines, Data Storage, and Data Transfer. This course will help you in learning the techniques of hosting big data and performing distributed processing on the AWS platform. To pursue this AWS Data Engineering Training, an aspirant need to carry a fundamental level understanding of big data and Hadoop concepts and basic knowledge of AWS technical essentials. Our offered course is developed by industry expert trainers to give in-depth knowledge of AWS Cloud Economics, Amazon DynamoDB, AWS Virtuous Cycle, Amazon DynamoDB, Kinesis Firehose, Knowledge Checks, DynamoDB Stream, EMR Operations, Spark Components, AWS Data Pipeline, RedShift Architecture. It is aligned with the AW Certified Data Analytics exam.

Who Should Attend? 

• Data Engineers 
• Data Scientists 
• Solutions Architects 
• Data Analysts

Course Outcomes 

After completing this course, you should be able to: 

• How to work with AWS Cloud Architecture Design Principles
• How do I use Amazon EMR to process data with the use of Hadoop ecosystem tools 
• How do I use Amazon Kinesis for big data processing in real-time
• How to use Kinesis Streams to analyze and transform big data
• How to use Amazon QuickSight to visualize data and perform queries
• How to load Data into Kinesis Stream