Positive Quadrant Technologies LLP

Module 1: Introduction to Cloud

Module 2: Services

Module 3: Other Important Services

Module 4: EC2 Instance

Module 5: Cloud Storage (S3)

Module 6: AWS Identity and Access Management (IAM)

Module 7: LAMBDA

Module 8: AWS Glue

Module 9: AWS Athena

Module 10: AWS Kinesis

Module 11: AWS CLOUDWATCH

Module 12: AWS EMR

Module 13: AWS REDSHIFT

Module 14: Case Study

Rs.25000

Scalable Data Storage: AWS provides scalable and durable storage solutions like Amazon S3 for handling large volumes of data with high availability and reliability.
Machine Learning Integration: Integrate machine learning into data engineering workflows using AWS services such as SageMaker for model training and deployment.
Collaboration and Access Control: Implement collaboration features and access controls using AWS services like Amazon S3 bucket policies and AWS IAM to manage data access and permissions.
Continuous Integration and Deployment: Set up CI/CD pipelines using AWS CodePipeline and other DevOps tools for automating the deployment of data engineering solutions.
Data Lakes: Design and build data lakes on Amazon S3 to store and analyze vast amounts of raw and processed data efficiently.
Cost Optimization: Leverage AWS Cost Explorer and other cost management tools to optimize expenses associated with data storage.
Data Processing and Orchestration: Services such as Amazon Glue enable ETL processes.