Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33
Introduction
00:00 • 2min
Agesm and Data Science
02:20 • 5min
How to Get Rid of a Gray Hair
07:08 • 2min
You Don't Look Very Old, Even With Your Slight Gray Streap
09:07 • 3min
How Much Knowledge Do You Have on Paper?
12:29 • 2min
I've Got You Be
14:07 • 2min
I've Got Some Grey Hairs in My Beard.
16:10 • 4min
Data Science
19:45 • 3min
Data Science as a Team Sport
22:27 • 3min
How Do You Communicate the Value of Your Experience?
25:42 • 3min
How Can Your Data Science Skills Really Allow You to Drive Impact?
28:50 • 2min
A Greap of a Comet Coming Here on U.S.
30:45 • 2min
Is Maquito Still Here?
32:49 • 2min
The Data Warehouse, Data Transformation, Data Mature?
34:22 • 2min
Why Are We Doing This Again?
36:15 • 2min
How to Scale Your Business Using Off the Shelf Tools
37:59 • 2min
The Long Term Success of Open Source Software
39:58 • 4min
A, You're Not Writing White Papers About It, Right?
43:52 • 3min
Data Warehouse
46:24 • 4min
Data Literacy
49:58 • 4min
Is There a Need for a Data Warehouse?
53:45 • 2min
Is the Data Warehouse a Bottleneck for Machine Learning?
55:44 • 2min
Do We Need a Date Engineer?
57:35 • 2min
Data Science - Data Science in Analytic Organization - Control Everything That Touches a Model
59:32 • 2min
I'll Comeand Bring the Oto Magic
01:01:35 • 3min
Data Productivity
01:04:05 • 2min
Data Engineering
01:05:43 • 2min
A Data and Dream or Anlex Engineer Into a Science Team?
01:07:24 • 2min
The Pod Cats Comen Overo the Next Few Weeks
01:09:15 • 2min
A, Dear George, You Got a Question?
01:10:49 • 2min
The Best Day of the Week to Release a Podcast
01:12:34 • 5min
I Like No Pook as a Service
01:17:17 • 2min
I'll Mix Out to Be Back Home in Sacramentoa
01:18:57 • 3min


