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Day 1 |
Day 2 |
Day 3 |
Day 4 |
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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 |
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Key |
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Design |
Build |
Deploy |
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* SME Presentations L400 Technical |
*** Guided virtual lab experience with remote SME assistance |
**** Challenge & team-based learning experience (hack) |
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** Q&A Discussion and small group cohort activity |
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9hr |
7.25hr |
5.75hr |
|
|
address "why" design this way |
address the "how" to |
apply "how" and "why" learning to a scenario |
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| | | | |
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LEVEL 400 |
LEVEL 200-300 |
|