Data & Analytics

Modern Data Platform Engineering

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