Big Data Analytics Using Cloud Platforms (AWS/Azure/GCP)

Target Group

1. Data analysts and data scientists looking to enhance cloud analytics skills

2. IT professionals migrating traditional data workflows to the cloud

3. Business intelligence and reporting specialists

4. Fresh graduates aiming to enter data and analytics roles
   
   

Course Objectives

1. Understand the role of cloud platforms in big data processing

2. Work with cloud-based storage and compute services

3. Use tools like Redshift, BigQuery, and Synapse for querying

4. Build automated data pipelines

5. Create cloud-based visual dashboards

6. Implement cost control and security best practices
   
   

Course Learning Outcomes (CLOs)

1. Describe the architecture and role of cloud platforms in big data workflows

2. Ingest, store, and process large datasets using cloud-native tools

3. Query and analyze big data using Redshift, BigQuery, and Synapse

4. Design basic data pipelines that automate the flow of data

5. Create interactive dashboards and visual reports on the cloud

6. Apply cost optimization and security best practices in cloud analytics