Making Data Simple

Al and Davor Bonaci discuss how feature stores save time and money in production systems and then leadership of a startup company

July 14, 2021 IBM Big Data & Analytics Hub Season 5 Episode 27
Making Data Simple
Al and Davor Bonaci discuss how feature stores save time and money in production systems and then leadership of a startup company
Show Notes

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Abstract

Hosted by Al Martin, VP, IBM Expert Services Delivery, Making Data Simple provides the latest thinking on big data, A.I., and the implications for the enterprise from a range of experts.

This week on Making Data Simple, we have Davor Bonaci co-founder and CEO of a Seattle-based startup Kaskada. Previously, Davor served as the chair of the Apache Beam PMC and software engineer in Google Cloud since its early days and the inception of Cloud Dataflow.

Show Notes
2:39 – Are you focused on the platform or the models around event based data?

6:52 – Does your company provide knowhow or is it tooling?

9:58 – What’s your secret sauce?

11:19 – How did you end up here?

15:40 – Who’s your biggest competitor? 

17:13 – Can you talk to some of the common use cases?

20:30 – Are you and IDE, how does it work?

21:18 – Are you a subscription service?

22:18 – What’s your 5 year plan?

26:44 – How feature store save time and money

29:19 – Describe the company in three bullets

31:35 – What are the top skills?

 Davor Bonaci  - LinkedIn

Kaskada


Connect with the Team
Producer Kate Brown - LinkedIn.
Producer Steve Templeton - LinkedIn.
Host Al Martin - LinkedIn and Twitter