1. Keuze semester big data

2. Who Am I? Peter Odenhoven p.j.odenhoven@hva.nl
Amsterdam University of Applied Sciences
Background: Mathematics / Statistics
Teaching at this moment:
Programming: Java, C# , Python, R
Databases: SQL and NOSQL
Data warehousing / Business Intelligence
Big Data

3. It’s all about Finding stuff …

4. Project assignments HvA CHIEF: charging electrical cars
AFC AJAX : monotoring physics of player
CURVE FEVER: toxic behaviour in a multiplayer game
Digital Life Centre: sensor data
NIKHEF: CERN information use

5. 10 reasons why Data Scientist is the sexiest job of the 21st century (or not)

6. What you should bring, what you should GET

7. Not all problems are big data problems

8. Old and new friends: SQL and NOSQL

9. “… do i look like a man with a plan…”
module
description ec
Project
Big data applications 6 1
Business Studio 4 2
Data analysis/mining
Business skills
total 15 5 3
Data processing and storage
Information visualization
Professional skills

10. Business studio Business opportunities Data warehousing Reporting
Ethics
Legal issues

11. Data analysis and data mining
Some mathematics, MAPLE
More theory on algoritms
A lot of practice:
Rapid miner R
Python

12. Information visualization
The best data visualizations are ones that expose something new about the underlying patterns and relationships contained within the data. Understanding those relationships — and being able to observe them — is key to good decision making

13. More details: Data processing
Read and write different data types from different data sources
Process (filter, clean, filter, combine, etc) Data
Understand Map Reduce concept
Read and Write data from distributed file system
Work with tools such as R and Hadoop

14. grouping Individual preferences 1,2 and 3 We decided, based upon …
Interest
Ambition
Background
Not necessarily groups bounded to classes…