1. Max Klymyshyn
CTO at GVMachines
Data Driven Design
Build app design around data
flow rather than program flow
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2. What's the problem?
Handling many of different data
sources and keep context

3. Typical task for this approach
Random picture from Google

4. Really?
Yup, honestly it's depend on the task.
There's a lot of examples of data-driven
programming around.
The most known example is
Django Middleware

5. So, let's go deeper

6. Data Driven
programming
definition

7. What is Data Driven programming
Data driven programming is a
programming model where
the data itself controls the flow of the
program and not the program logic

8. Not so strict
Data Driven definition is quite strict.
Typically it's mixed with other approaches

9. Real world task
sample usage

10. Show only sunny days in the month
I want to grab weather from different sources
and display only sunny days of the month

11. Pipeline
To grab data we should define pipeline - the
way our data going to go

12. Pipeline
Grab Parse Validate Display

13. In details
Grab
Fetch data from weather.com
Fetch data from pogoda.yandex.ua
Fetch data from weather.yahooapis.com
Parse Parse weather.com
Parse pogoda.yandex.ua
Parase api.aerisapi.com
Validate Pass sunny days only

14. Pipeline
At this moment we have only sunny days to
display

15. Approaches
when this may be be effective?

16. If this then that
ifttt.com
ifttt is a web service platform that connects
various web services together to automate
common tasks on the web

17. Various sources
When you have a lot of mostly similar data from
different sources
You need to keep only data which
matters for you

18. Data slices generation
In case you need to generate a lot of similar
data sets filtered by many of params

19. Pipes
In general, approach is the same as usage of
UNIX pipes:
cat file.dat | grep something | sed 's/xxx/yyy/g'

20. Summary
Grab Parse Validate Display

21. Example
https://github.com/joymax/data-driven-design

22. That's all, thank you.
Questions?
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Github: joymax