Monday Morning Data Chat

#114 - How to Write a Best-Selling O'Reilly Technical Book w/ Joe Reis & Matt Housley

Feb 20, 2023
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Episode notes
1
Introduction
00:00 • 2min
2
Data Engineering - The Challenge of Leaving the Threads
02:21 • 2min
3
How to Write a Data Engineering Book?
04:19 • 2min
4
Data Engineering Is a Writer's Book, Right?
05:58 • 2min
5
Getting a Book Proposal From an Acquisitions Editor
07:48 • 2min
6
Is There a Need for Meta Thinking When Writing a Book?
09:40 • 3min
7
How to Write a Book?
12:37 • 2min
8
Book Review - Is Your Book Getting Approved?
14:49 • 3min
9
How to Get a Team of Tech Reviewers for Your Book
18:05 • 3min
10
You're Never Going to Know Your Blind Spots
20:35 • 2min
11
How to Write a Book With a Co Author
22:13 • 3min
12
The Table of Contents Changed a Lot, Right?
25:07 • 3min
13
How to Write a Data Engineering Book?
27:38 • 2min
14
Final Manuscripts
29:09 • 2min
15
You're Not Going to Catch Everything
31:16 • 2min
16
What Happens After the Book Is Done?
33:06 • 2min
17
How to Write a Great Book on Its Own
34:46 • 2min
18
Is Your Book Going to Be a Bestseller?
36:35 • 3min
19
How to Write a Book on a Subject?
39:28 • 3min
20
How Do I Learn to Become a Data Engineer?
42:32 • 2min
21
You Want to Get Praise Quotes Through the Data Warehouse
44:45 • 2min
22
Is There Anything You Would Do Different With the Book?
46:40 • 3min
23
Is Data Engineering a Thing in Five to 10 Years?
49:52 • 2min
24
Is the Life Cycle of Data Engineering Going Away?
51:40 • 2min
25
What's Next for You?
53:20 • 2min
26
How to Write a Tech Book?
55:03 • 2min
27
We're Not Accepting Inquiries From Companies
57:30 • 3min