Program Overview
Architect the Modern Data Stack
The modern data stack has matured from a buzzword into the standard for enterprise analytics architecture. This program provides deep, hands-on mastery of the key components — from data ingestion with Fivetran and Airbyte, through transformation with dbt, warehousing on Snowflake and BigQuery, to orchestration with Airflow and observability with Monte Carlo. Updated for 2025 with coverage of data lakehouse convergence, semantic layers, and AI-ready data architectures.
Full Stack Coverage
Ingestion → Transformation → Warehousing → Orchestration → Observability — the complete modern data stack.
Simulation Environments
Practice on realistic enterprise data scenarios with production-scale cloud environments.
Vendor-Neutral Approach
Learn principles that apply across tools — then specialize in the platforms your organization uses.
Curriculum
Program Curriculum
Structured learning path designed for measurable outcomes
Skills You'll Build
Tools & Technologies
Who Should Attend
Designed for professionals ready to lead and execute real change
Data Engineers
Engineers looking to master the modern data stack and build scalable analytics infrastructure.
Data Architects
Architects designing enterprise data platforms and evaluating modern stack components.
Analytics Engineers
Analytics professionals building transformation layers and semantic models.
What You'll Walk Away With
Tangible deliverables and capabilities for your organization
Complete MDS Implementation
A fully configured modern data stack with ingestion, transformation, and serving layers.
Architecture Decision Records
Documented architecture decisions for tool selection and design patterns.
Observability Setup
Data quality monitoring and alerting configured across your data pipeline.
MDS Certification
Certification validating modern data stack architecture and implementation skills.