78: The Etymology of Reverse ETL & Why It’s a Key Piece Of The Modern Data Stack with Boris Jabes of Census

1

Introduction

00:00 • 2min

2

Data Stack Show

01:56 • 5min

3

Reverse Five Tran an Reverse San Ere

07:14 • 6min

4

Data Pipe Lines - What's the Point of the Show?

12:54 • 4min

5

The Challenges of Reverse Fivetranite Data Warehouses

17:05 • 5min

6

The Difference Between Reading and Writing From Assafication

22:04 • 3min

7

Is Your Data Team a Different Set of People?

24:45 • 3min

8

Is Google Analytics All Incapsulated?

28:07 • 5min

9

What Are the Ways That Data Teams Are Creating That?

32:57 • 2min

10

The Data Warehouse Is the Perfect Repository for Theer, Right?

34:54 • 5min

11

How to Replicate the Results of Formulas on Sals for Aper House?

40:14 • 2min

12

Yo, I'm a Tech Founder. Is That Really Possible?

42:15 • 2min

13

What Are You Thinking Of?

43:47 • 6min

14

Ndata - What Have You Learned?

49:23 • 5min

15

Is There a Problem With Duplicates?

54:00 • 2min

16

Is Thereterd Off the Record Version of This?

56:14 • 3min

17

The World Is Large and We Were Not Going to Have Protests

59:09 • 2min

18

The Need to Educate Is Unbelievably Important

01:01:09 • 4min