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Democratizing data access with
APIs
Tarush Aggarwal
Talk 20 minutes
Q&A 5 minutes
Follow me, I'll be happy to share the slide
deck any notes/content
Housekeeping
@iamtarush
tarushaggarwal
Head of data @WeWork. Scaled data
from 2 to 100+. WeWork footprint 800+
locations, 120+ cities, 23+ countries.
Founder of Data Council AI Shanghai
Chapter. The first data meetup
community in China.
First Data Engineer, Analytics team
@Salesforce.com
BS in Computer Engineering from
Carnegie Mellon
TARUSH AGGARWAL
Speaker
Data 2 Data 3 Data 4
Data 5
Data 6
Data
Reporting
System
Data Team
High Value
Work
Raw Data
20%
80%
Analysis Report Insight
AFTER 5x
What does success with democratization look like?
How do we build a layer for democratization data access on
top of APIs?
Where does our API Data live?
Designed for App
Consistent
Can modify data
Transactional Systems(OLTP)
APIs are not the full picture
Data Warehouse
Your Data Sources
We need fully automated data pipelines
Move to ELT from ETL
Raw Data is not structured to answer business questions
Raw Data
Business Data Layer
The business needs a no-code layer
Self-serve data models
to create dashboards
and insights
Sales
Marketing
Product
The business needs a no-code layer
Self-serve data models
to create dashboards
and insights
Sales
Marketing
Product
Raw Data
Business Data Layer
Self-serve data models
to create dashboards
and insights
Your Data Sources
Sales
Marketing
Product
3 Step Process
Questions?
tarush@5xdata.co
+1 412 973 2628
@iamtarush
tarushaggarwal
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apidays LIVE Singapore - Democratising data access with APIs by Tarush Aggarwal, 5xData

  • 1. Democratizing data access with APIs Tarush Aggarwal
  • 2. Talk 20 minutes Q&A 5 minutes Follow me, I'll be happy to share the slide deck any notes/content Housekeeping @iamtarush tarushaggarwal
  • 3. Head of data @WeWork. Scaled data from 2 to 100+. WeWork footprint 800+ locations, 120+ cities, 23+ countries. Founder of Data Council AI Shanghai Chapter. The first data meetup community in China. First Data Engineer, Analytics team @Salesforce.com BS in Computer Engineering from Carnegie Mellon TARUSH AGGARWAL Speaker
  • 4.
  • 5.
  • 6. Data 2 Data 3 Data 4 Data 5 Data 6 Data Reporting System Data Team High Value Work Raw Data 20% 80% Analysis Report Insight AFTER 5x What does success with democratization look like?
  • 7. How do we build a layer for democratization data access on top of APIs?
  • 8. Where does our API Data live? Designed for App Consistent Can modify data Transactional Systems(OLTP)
  • 9. APIs are not the full picture
  • 11. We need fully automated data pipelines Move to ELT from ETL
  • 12. Raw Data is not structured to answer business questions Raw Data Business Data Layer
  • 13. The business needs a no-code layer Self-serve data models to create dashboards and insights Sales Marketing Product
  • 14. The business needs a no-code layer Self-serve data models to create dashboards and insights Sales Marketing Product
  • 15. Raw Data Business Data Layer Self-serve data models to create dashboards and insights Your Data Sources Sales Marketing Product 3 Step Process
  • 16.
  • 17.
  • 18. Questions? tarush@5xdata.co +1 412 973 2628 @iamtarush tarushaggarwal Please connect for more content