Data Engineering Podcast

Self Service Business Intelligence And Data Sharing Using Looker with Daniel Mintz - Episode 55

Nov 5, 2018
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Episode notes
1
Introduction
00:00 • 3min
2
What Is Business Intelligence?
02:57 • 2min
3
What Is the Best Way to Approach Business Intelligence?
05:10 • 3min
4
Data Warehouses - You Can't Ask New Questions
07:48 • 4min
5
How Does Looker Work?
11:32 • 4min
6
Look a Mel Is Real Code
15:08 • 2min
7
Is There a Common Pattern in the ETL Process?
17:25 • 5min
8
Data Lakes and Data Warehouses - What's the Convergence?
22:54 • 6min
9
Looker Security and Access Control and Governance
28:45 • 3min
10
Looker - What's the Typical Workflow Look Like?
31:33 • 2min
11
Looker Is a Life-Changing Customer Relationship Model
33:06 • 6min
12
Scaling Factors for Looker
38:50 • 3min
13
The Challenges of Business Intelligence in the Modern Data Ecosystem
41:46 • 3min
14
Is There Any Sharp Edges or Pitfalls That You'd Like to Avoid With Liquor?
44:51 • 2min
15
What Are Some of the Most Interesting Uses of Liquor?
46:58 • 2min
16
Are There Any Guardrails in Look-a-Brings?
49:05 • 3min
17
Looker ML - What's in Store?
52:01 • 3min
18
What's the Biggest Gap in the Tooling or Technology for Data Management?
54:50 • 3min