Azure Synapse Analytics Workshop (level 400, 4 days)

Workshop Agenda
	Day 1	Day 2	Day 3	Day 4
	Ingest & Transform	Optimize & Query	Model, Manage & Secure	Challenge-based Learning
08:00	Keynote: Welcome, objectives, Synapse 101	Design Presentation: DW Optimization (*)	Design Presentation: Spark for Data Science (*)	Challenge Introduction (****)
08:15
08:30	Demo Walkthrough - MDW In Action			Begin POC Challenge (****)
08:45
09:00	Break	Break	Break
09:15	Design Presentation: Data Loading & Data Lake Organization (*)	Build Hands-on: DW Optimization Part 1 (***)	Build Hands-on: Machine Learning (***)
09:30
09:45				Break
10:00				Continue POC Challenge (****)
10:15	Q&A / Digital Cohort Activity: Data Lake Design & Security Considerations (**)	Q&A / Digital Cohort Activity: DW Optimization (**)	Q&A / Digital Cohort Activity: Model Implementation (Predict) (**)
10:30
10:45		Design Presentation: DW Optimization Part 2 (*)
11:00
11:15	Break	Break	Break	Break
11:30	Build Hands-on: Data Integration Part 1 (***)	Build Hands-on: DW Optimization Part 2 (***)	Build Hands-on: Spark ML (***)	Continue POC Challenge (****)
11:45
12:00
12:15	Lunch	Lunch	Lunch	Lunch
12:30
12:45
13:00
13:15	Design Presentation: Data Transformations (*)	Q&A / Digital Cohort Activity: Security (**)	Design Presentation: Monitor & Manage (*)	Finish POC Challenge (****)
13:30
13:45	Q&A / Digital Cohort Activity: Data Engineering Discussion (**)		Q&A / Digital Cohort Activity: Monitor & Manage (**)
14:00
14:15	Build Hands-on: Data Integration Part 2 (***)	Build Hands-on: Security (***)	Build Hands-on: Monitoring (***)	Challenge Debrief (****)
14:30
14:45				Closing
15:00
	Key
	Design	Build	Deploy
	* SME Presentations L400 Technical	*** Guided virtual lab experience with remote SME assistance	**** Challenge & team-based learning experience (hack)
	** Q&A Discussion and small group cohort activity
	9hr	7.25hr	5.75hr
	address "why" design this way	address the "how" to	apply "how" and "why" learning to a scenario
	LEVEL 400		LEVEL 200-300