Data & Analytics
Build enterprise-scale data platforms using AWS’s comprehensive analytics and machine learning services. These workshops guide you through designing and implementing modern data architectures, from data lakes to real-time analytics pipelines.
Master the complete data journey - ingestion, processing, storage, analysis, and visualization. Each workshop provides hands-on experience with production-grade data engineering patterns and best practices for scalable, cost-effective data solutions.
Data platform expertise you’ll master:
- Data Lake Architecture: S3-based storage, partitioning, and governance
- ETL/ELT Pipelines: Batch and streaming data processing workflows
- Real-time Analytics: Stream processing and event-driven architectures
- Data Warehousing: Modern cloud data warehouse patterns
- Business Intelligence: Self-service analytics and visualization
- Data Governance: Security, compliance, and data quality frameworks
Content
Upcoming Workshops
- Real-time Analytics with Kinesis - Coming Soon
- Data Pipeline with AWS Glue - Coming Soon
- Amazon Redshift Serverless - Coming Soon
- AWS Lake Formation - Coming Soon
- Streaming Analytics with Kinesis Analytics - Coming Soon
- Data Mesh Architecture on AWS - Coming Soon
- Modern Data Warehouse with Redshift - Coming Soon
- ETL Best Practices with Glue - Coming Soon
- Data Governance and Cataloging - Coming Soon
- Cost Optimization for Data Workloads - Coming Soon
- Data Quality and Validation - Coming Soon
- Advanced Analytics with Athena - Coming Soon
- Time Series Analytics with Timestream - Coming Soon
- Graph Analytics with Neptune - Coming Soon
- Data Visualization Best Practices - Coming Soon