The hottest Data Teams Substack posts right now

And their main takeaways

Category

Top Technology Topics

Centralized vs Decentralized vs Federated Data Teams

SeattleDataGuy’s Newsletter • 647 implied HN points • 02 Sep 23

🕹 Technology Data Teams Decentralized

Setting up your data team is crucial for success in the field.
Data teams can be organized in centralized, decentralized, or federated ways.
Consider different organizational structures to optimize your data team's efficiency.

Will we ever have clean data?

benn.substack • 508 implied HN points • 28 Jul 23

🕹 Technology Data Quality Data Infrastructure Data Teams

Data quality is a tradeoff in balancing stability and agility.
Data resiliency tools like SDF focus on tracing data lineage to improve debugging and fixing issues.
Managing messy data often requires making choices between stability and adaptability in data infrastructure.

“Am I the Jared Kushner?”

benn.substack • 737 implied HN points • 21 Apr 23

🕹 Technology Analysis Data Teams AI

Analysts should reflect on their role and avoid behaving like Jared Kushner
Being a data analyst involves providing informed insights, not just being a 'nicer, kinder' Jared Kushner
Focusing on keeping the company well-informed through regular updates can be more effective than traditional data reporting

Product Data Teams 101

Three Data Point Thursday • 98 implied HN points • 09 Nov 23

💼 Business Data Teams Product Management Organizational Change Decision-making

Introducing product data teams brings business into data.
Product data teams prioritize effectiveness over efficiency.
Consider switching to product data teams if you need more value from data.

Data in a Downturn

Data People Etc. • 231 implied HN points • 20 Mar 23

🕹 Technology Data Analysis Tech Tools Data Teams Data Stack

Data teams are facing challenges with tool abandonment in the current economy.
Databases remain crucial in the data stack, with less need for new, specialized tools.
Building trust and bridging gaps between data and engineering teams is vital for successful data applications.

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The (Not So Subtle) Art of Not Giving A Fuck About Data

Three Data Point Thursday • 39 implied HN points • 21 Sep 23

🕹 Technology Data Data Quality Data Teams

Don't focus too much on best practices and what other companies are doing in data.
Deal with challenges and adversity in data, but focus on doing the right thing.
Prioritize data quality when your company truly becomes data-driven.

Why dbt Labs acquired Transform

Three Data Point Thursday • 19 implied HN points • 20 Apr 23

🕹 Technology Data Analytics Data Teams Market Strategy Data Engineering

Dbt Labs acquired Transform to target a new market segment beyond analytics engineers.
Tech companies typically expand by starting small, then broadening their market focus and adding features.
Data is not the same as analytics; a top-down approach to making data vital in a company is crucial.