Bukalapak, one of Southeast Asia's largest e-marketplaces, handles over 1.5 petabytes of data daily from various sources, including user interactions and product listings. The company has transitioned from a fragmented data architecture to a robust data lake and warehouse solution, enabling advanced AI capabilities and real-time health insights. Bukalapak emphasizes that big data is not only for generating business reports but also for driving significant business growth and improvement.

1. Big Data @ Bukalapak
Ibrahim Arief – @ibamarief
VP of Engineering – Bukalapak
SARCCOM & BCA Tech Talk – October 2017
Strictly Confidential 1

2. Short Intro – Speaker
• VP of Engineering – Bukalapak (ID)
• 2016 – present
• Engineering Lead – bol.com (NL)
• 2014 – 2016
• Comp Sci PhD dropout  – NTNU Gjøvik (NO)
• 2013 – 2015
2

3. Short Intro – Bukalapak
3
• One of the largest e-marketplace in Southeast Asia
• 15 million users, 1 Trillion IDR/month
• 900+ Total Employees
• 350+ in Product Development Group
• 120+ in Product (PM, UX, UI, DS, QAT)
• 200+ in Engineering (FE, BE, QAE, MOB, AI)
• 30+ in Technology (SRE, SysEng)
• 20+ Product Development Teams

4. How big is our Big Data?
4

5. Billions of data points per day
(censored, sorry
)
5

6. Since 2014, we…
6

7. 7
>1.5 PB of data
Hundreds of millions of images
(current size, predicted to triple every year)

8. 8
>1.5 PB of data
Hundreds of millions of products
(current size, predicted to triple every year)

9. 9
>1.5 PB of data
Hundreds of millions of messages
(current size, predicted to triple every year)

10. How do we handle all those
data?
i.e. our Big Data Architecture
10

11. 11Old (2016), data fragmentation, hard to do data crunching for AIs

12. 12
New (2017), data lake & warehouse, robust pipeline for AI & Analytics

13. 13
1PB Elastic
Cluster
New (2017), data lake & warehouse, robust pipeline for AI & Analytics

14. 14
Small 192-core
Spark Cluster
New (2017), data lake & warehouse, robust pipeline for AI & Analytics

15. What do we use all those
data for?
(hint: not just for generating business reports )
15

16. Realtime high-level health insight
16
Fast awareness if releases are unhealthy, enabling rapid reaction & mitigation

17. Old Recommender AI – Similarity-Based Search
17
Showing boring similar products 

18. New Recommender AI – Crunching 1.2B Monthly Views
18
Showing inspirational alternatives 
Data-Driven  A/B Tested
Amazing incremental growth 

19. New Recommender AI – Crunching 1.2B Monthly Views
19

20. Wrap Up
20
• Big Data @ Bukalapak  >1.5PB
• Big Data  not just for business reports
• Big Data for realtime health insight can save $$$
• Big Data for AI can and do generate $$$
• We’re hiring!  Check out careers.bukalapak.com