120: Materialize Origins: A Timely Dataflow Story with Arjun Narayan and Frank McSherry

1

Introduction

00:00 • 2min

2

The Story of the Co-Founders of the Stock Club

01:42 • 6min

3

The Importance of Having a Company

07:33 • 3min

4

The Confluence of Data Privacy and Distributed Systems

10:24 • 2min

5

The Importance of Consistency in Data Systems

12:19 • 3min

6

The Importance of Honest Communication in a Database Purchaser

15:16 • 3min

7

How I Changed My Mind About Starting a Company

18:23 • 4min

8

The Importance of First Principles Thinking

22:25 • 3min

9

The Differences Between Academic and Industrial Research

25:34 • 5min

10

How to Be a Successful Researcher in Data Privacy

30:14 • 2min

11

How to Be Happy in Academia

32:17 • 4min

12

Mother Realized: A Cloud Native Distributed Version of Materialized

36:26 • 4min

13

The Three Watchwords for Low Latency Data Systems

40:32 • 3min

14

The Benefits of a Storage and Compute Separation System

43:14 • 2min

15

How to Join Data From Heterogeneous Systems

45:23 • 3min

16

How to Reduce the Life Cycle of Data in a Traditional Clouds Warehouse

48:26 • 4min

17

The Uncanny Valley of Developer Tooling

52:24 • 4min

18

How to Migrate Views From Hive to Any System in an Automated Way

56:49 • 3min

19

The Trade-Offs Between Materialize and Other Alternative Solutions

01:00:04 • 5min

20

What Are the Most Not Interesting Use Cases for NIAB?

01:05:09 • 3min

21

The Pain We've Caused Frank and Arjun

01:07:53 • 3min

22

The Data Stack Show

01:10:53 • 3min