| Time | Session |
|---|---|
| 10:00 | Introduction & Welcome |
| 10:10 | Introduction to Spark |
| 10:45 | Practical: setup and walkthrough |
| 11:30 | Coffee/Tea |
| 12:00 | Spark Essentials |
| 12:30 | Practical: setup and walk through lab exercises 1 together |
| 13:00 | Lunch |
| 14:00 | Spark Cluster |
| 14:30 | Practical: Submit your own application and lab exercises 1 continued |
| 15:30 | Coffee/Tea |
| 16:00 | Spark Data Frames |
| 16:20 | Practical: lab exercises 2.1 |
| 17:00 | Wrap-up and questions |
| 17:30 | Close |
| Time | Session |
|---|---|
| 10:00 | Advanced Spark |
| 10:30 | Practical: lab exercises 2.2 |
| 11:30 | Coffee/Tea |
| 12:00 | Walkthrough: MLlib k-means |
| 12:10 | Practical: Pick one of the lab exercises 3 (Numpy, MLlib, Logistic Regression) or create your own Spark application |
| 13:00 | Lunch |
| 14:00 | Example application: Analysing Volcanic Ash Advisories |
| 14:15 | Practical continued |
| 14:45 | Wrap-up |
| 15:00 | Close |