Data-centric apps: Problems to solve

B48000922680b510078188df438184dd?s=47 Piotr Lewandowski
April 20, 2016
Research
0
16

Data-centric apps: Problems to solve

Case study:
I described some problems that I encountered on building apps highly based on aggregation and data analysis.

B48000922680b510078188df438184dd?s=128

Piotr Lewandowski

April 20, 2016
Tweet

More Decks by Piotr Lewandowski

See All by Piotr Lewandowski
B48000922680b510078188df438184dd?s=48 piotrl
1
79
B48000922680b510078188df438184dd?s=48 piotrl
0
71
B48000922680b510078188df438184dd?s=48 piotrl
1
220
B48000922680b510078188df438184dd?s=48 piotrl
2
150
B48000922680b510078188df438184dd?s=48 piotrl
1
74
B48000922680b510078188df438184dd?s=48 piotrl
0
52
B48000922680b510078188df438184dd?s=48 piotrl
1
18
B48000922680b510078188df438184dd?s=48 piotrl
0
11
B48000922680b510078188df438184dd?s=48 piotrl
1
180

Other Decks in Research

See All in Research
86e27abc6d8ba9798bbbbcf6c96f7a92?s=48 ttsunoda
0
620
0fd69f775497ec247d1daff4ee7dcde8?s=48 yasuhiromuraji
1
290
0886c70b5ecf3b0b0ee6500c5e47884d?s=48 ecoopnet
0
160
A42dd3541cd40296dcd8a5e6b4a01bef?s=48 scatterlab
0
830
Cd6e67775ba3275c466e9927ede23080?s=48 nk35jk
0
670
A182964bc0a261a5fc8bb207d660c743?s=48 diracdiego
1
710
B5a067386e1890d3c8b6f753593e89e9?s=48 omshivaprakash
0
190
908674822b03df676ea84b17f6057586?s=48 t2kasa
1
600
31bf3df4bac9b584c89bc11b0c84e132?s=48 resnant
1
1.2k
C31b5afbe1ffb5588b2fe5a9e39b357b?s=48 takarasawa_
3
1.6k
Eca565592bf3c17c6797ee81a32bd953?s=48 oshinko90yen
1
290
6325a9b34da54d5cbddb814c3987a2fe?s=48 chokkan
0
3.2k

Featured

See All Featured
8ec1383b240b5ba15ffb9743fceb3c0e?s=48 philnash
4
290
Fe6b81005d1553accd6b2a28f6a2bef1?s=48 phodgson
86
3.8k
C4de88ea47538e4594750e3861a341c8?s=48 brettharned
91
2.8k
Ded01cdab114abe4ec13511e4c25b9bb?s=48 andyhume
60
2.4k
Bfd6b681ec6e8c9bef82ff0521c364f7?s=48 kastner
52
1.8k
719435d98d452de7ac367c828266cf01?s=48 erikaheidi
11
3.9k
78b475797a14c84799063c7cd073962f?s=48 holman
458
270k
7c8469ee8c9e594c65c59b919626c08d?s=48 scottboms
250
11k
E190023b66e2b8aa73a842b106920c93?s=48 zenorocha
296
39k
282d599b414022eba5096510f675b6e2?s=48 chrislema
171
14k
7559f6cff1f5efc2d210965febd4d71c?s=48 bermonpainter
339
26k
2bb923c57a1fdc3a2eb484bb8d565fd2?s=48 ufuk
55
5.2k

Transcript

  1. None
  2. None
  3. None
  4. None
  5. None
  6. None
  7. None
  8. None
  9. None
  10. None
  11. None
  12. None
  13. None
  14. None
  15. None
  16. None
  17. None
  18. None
  19. None
  20. None
  21. None
  22. None
  23. None
  24. None
  25. None
  26. None
  27. None
  28. None
  29. None
  30. None
  31. None
  32. None
  33. None
  34. None
  35. None
  36. None
  37. None
  38. None
  39. None
  40. None
  41. None
  42. None
  43. None