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Course Details
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Course Details
AWS
Duration
30 hrs
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Learning Outcomes
Understanding data engineering fundamentals and modern data storage systems.
Gain proficiency in various databases, including Amazon DynamoDB, Amazon RDS, and Amazon Redshift.
Gain mastery of analytics tools like Amazon Athena, Apache Spark, and AWS Glue.
Acquire knowledge of cloud financial management principles and AWS cost optimization.
Gain competency in computing services such as Amazon EC2, AWS Lambda, and AWS Batch.
Familiarize yourself with container technologies like Docker and container orchestration with Amazon ECS and Amazon EKS.
Develop expertise in developer tools, machine learning concepts, and management and governance principles in AWS.
Gain skills in migration and transfer services, networking and content delivery, security, identity, and compliance.
Understand storage solutions like Amazon S3, Amazon EBS, and Amazon EFS.
Build proficiency in data modeling techniques and data quality assurance.
Topics Covered
Data Engineering Fundamentals
Analytics with tools like Amazon Athena and Apache Spark
Data Modeling Fundamentals
Cloud Financial Management
Compute Services (e.g., Amazon EC2, AWS Lambda)
Database Management (e.g., Amazon DynamoDB, Amazon Redshift)
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