109: How Does Headless Business Intelligence Work? Featuring Artyom Keydunov and Pavel Tiunov of Cube Dev

1

Introduction

00:00 • 2min

2

Data and the Headless, RDM and Pavell, Welcome to the Data Section

01:41 • 2min

3

The Concept of Headless in BI?

03:23 • 6min

4

Q of Data Modeling

08:54 • 3min

5

Cibless BI - What's the Stack Architecture?

11:52 • 3min

6

ETL Pipeline Data Collection Transformation

14:47 • 4min

7

Using Data Modeling in a Data Warehouse?

18:54 • 4min

8

Data Modeling in a Code

22:37 • 6min

9

Using Kube Data Warehouse to Build a Commercial Product?

28:20 • 5min

10

How Does CubeCloud Work?

33:08 • 3min

11

Slack Application Directory - What Is It All About?

35:42 • 4min

12

Open Source CubeCloud Engine

39:52 • 2min

13

Is Q the Next Big Thing?

41:44 • 2min

14

SQL API - What Is the Motivation for a Data Warehouse?

43:27 • 3min

15

Qube for Embedded Analytics

46:42 • 2min

16

Data Engineers in Cube

48:38 • 4min

17

Is Cube Impacting Visualization?

52:15 • 4min

18

Embedded Analytics - What's the Best Word in the Flow?

56:14 • 2min

19

Is Cube a Natural Representation?

57:49 • 4min