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Скачать или смотреть CxC ep 10: Data Strategy and Engineering with Seattle Data Guy!

  • CodeStrap
  • 2025-09-08
  • 218
CxC ep 10: Data Strategy and Engineering with Seattle Data Guy!
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Описание к видео CxC ep 10: Data Strategy and Engineering with Seattle Data Guy!

CodeStrap's "Code and Connor" Episode 10 features our friend Ben Rogojan, better known as The Seattle Data Guy. In this episode, we discuss balancing velocity and quality in data engineering, ownership, centralization, cost transparency from data platforms, and the need for outcomes-focused strategy that keeps pace with operations and leverages AI in the face of growing complexity.

The Seattle Day Guy
Website: https://www.theseattledataguy.com/
YouTube:    / @seattledataguy  
Substack: seattledataguy.substack.com
Ben:   / benjaminrogojan  
CodeStrap
Dorian:   / dorian-smiley-97a72a14  
Connor:   / connordeeks  
CodeStrap (X): https://x.com/CodeStrap411
CodeStrap (LI):   / codestrap  

Attending the Inaugural Palantir Customer Conference? We are: https://rangrdata.com/futurops/

00:00 - Intro
01:26 - Data Engineering common difficulties, root causes of those difficulties and recommendations
06:24 - Velocity vs. Quality and techniques to consider
13:11 - Good discipline in data engineering is needed, understand the tradeoffs you're making
14:56 - Understand the outcome you want to drive, and know data is one piece of the puzzle
16:36 - Who should own the data - CFO?
18:33 - Who should own the data - COO ; think like an operator; Bezos story
21:03 - Using data at the speed of operations - inputs and optimization models; passive collection and real-time needs
26:33 - AI will need to be deployed to get value out of the massive increase in unstructured data in operations
29:16 - It's vital to get smart on how to leverage data to avoid boiling the ocean
30:57 - FuturOps Ad #1
31:22 - Where's the juice worth the data squeeze and when to say "no"
35:20 - Ben's stack - what's getting him excited
37:49 - Palantir's pricing and lack of transparancy
38:59 - Snowflake is the easiest to explain in cost, GCP can be confusing, databricks is clear cut as well
40:36 - DevCorner: serverless vs. container-based
42:12 - Barriers between transactional systems, analytics and applications we keep hitting
47:34 - MongoDB and Atlas
48:39 - The integration points are where are the challenges are. Buy or build? Part 1
50:09 - FuturOps Ad #2
50:35 - The integration points are where are the challenges are. Buy or build? Part 2
51:42 - Digital transformation journeys fail at a minimum 80%.
53:55 - Decentralization is the key to success, no team owns an outcome rather a person must
55:46 - Outro

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