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azure-synapse-analytics-workshop-400's Introduction

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
11:15BreakBreakBreakBreak
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  

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