Welcome to the AWS Project Lab! This repository features a collection of diverse projects that leverage various AWS services to address real-world challenges. Each project demonstrates different aspects of AWS, from data processing and machine learning to cloud infrastructure and more.
- Amazon EC2: Virtual servers in the cloud for computing capacity.
- Amazon S3: Scalable object storage for data backup, archiving, and analytics.
- AWS Lambda: Serverless compute service to run code in response to events.
- Amazon RDS: Managed relational database service.
- Amazon DynamoDB: Fully managed NoSQL database service.
- Amazon Redshift: Data warehousing service for large-scale data analysis.
- Amazon Athena: Interactive query service to analyze data in S3 using SQL.
- AWS Glue: Fully managed ETL (extract, transform, load) service.
- Amazon SageMaker: Managed service for building, training, and deploying machine learning models.
- Amazon CloudWatch: Monitoring and observability service for AWS resources.
- Cloud Infrastructure Management: Provisioning and managing cloud resources using AWS.
- Data Processing: Utilizing AWS services for data ingestion, transformation, and storage.
- Machine Learning: Building and deploying machine learning models using Amazon SageMaker.
- Serverless Architectures: Designing and implementing serverless applications with AWS Lambda.
- Database Management: Working with relational and NoSQL databases, including data modeling and query optimization.
- Data Warehousing: Implementing and managing data warehousing solutions with Amazon Redshift.
- ETL Processes: Creating and managing ETL pipelines with AWS Glue.
- Monitoring and Logging: Setting up monitoring and logging for AWS resources with Amazon CloudWatch.
- Cost Optimization: Implementing cost-effective solutions and managing AWS resources to optimize expenses.