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Recce - Trust, Verify, Ship @datarecce.bsky.social · 07/04/2026

"Pandas in 2011 was essentially book-driven development, quite literally." @wesmckinney.com wrote features because he needed them for the book chapter. #pandasPython #DataRenegades

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 22/03/2026

"If I had taken three years longer to do things the right way, it would have been too late." -- @wesmckinney.com on why pandas shipped imperfect and won. #pandasPython #DataRenegades

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 21/03/2026

"Arrow has the intricacy of a fine Swiss watch." The co-creator of Apache Arrow (@wesmckinney.com) on why AI agents cannot replicate decade-long infrastructure design. #ApacheArrow #DataRenegades

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 17/03/2026

"This is bad. Why haven't you fixed this yet? I would have already fixed this today with Claude code." -- @wesmckinney.com on radical accountability for software vendors. #AIcodingagent #DataRenegades

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 15/03/2026

Why did no big retailers attend the fall JavaScript conference? Every employee was locked down for Black Friday prep. Roger Magoulas sat with someone from Target to find out. No dataset would have surfaced that. 🎧 Full episode: youtu.be/z3E0Pi4XaLg #analytics #datascience

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 14/03/2026

"I would just wake up and write Python code." @wesmckinney.com on the founder hours that created pandas. #DataRenegades #pandasPython

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 10/03/2026

"If you have a successful career built on glazing people, I kind of hate you." Bryan Bischof on why truth-seeking is non-negotiable for data teams. #DataScience #DataCulture

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 08/03/2026

The most predictive feature in the world's first coffee recommender? Favorite salad dressing. The baristas knew. Bryan Bischof on Data Renegades #DataScience #MachineLearning

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 07/03/2026

"When an escalator breaks, it just becomes stairs. When your data workload fails, it's often just stale data." Scott Breitenother on why most data failures aren't as bad as they feel. #DataEngineering #DataReliability

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 06/03/2026

CL Kao takes the stage at the DataTune Conf tomorrow: "A Practical Playbook for Building Data Agents (That Don't Break Your Pipeline)" 288 benchmark trials. Three context problems every data agent hits. CL and @doriwilson.com will be at the Recce booth all day. Come say hey. #DataTune

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 03/03/2026

Wes McKinney built pandas in a mouse-infested NYC apartment on founder hours. Now he runs parallel Claude Code sessions and says AI is forcing "radical accountability" on every software vendor shipping mediocre products. Full conversation: youtu.be/Uso8-yaERkE #DataRenegades #pandas #ApacheArrow

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 03/03/2026

"The data team can't afford to be two years behind. You need to get that exoskeleton going now." Scott Breitenother on why full-stack data people using AI agents are the new operating model. #DataEngineering #AIAgents

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 01/03/2026

New engineers at Kilo ship code on day one. MVP feature by end of week. In production the next week. "We ruthlessly hunt down bureaucracy." Scott Breitenother on Data Renegades #AIAgents #Engineering

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 28/02/2026

"These technologies, they're not robots replacing us. They're exoskeletons that make us better, faster, stronger." Scott Breitenother on Data Renegades #DataEngineering #AI

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 24/02/2026

Scott Breitenother jumped into every Slack thread at Brooklyn Data. It made the company fast and him the bottleneck. His fix: subscribe to replies, don't comment, check back in 3 hours. #Leadership #DataTeams

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 22/02/2026

"The team still exists, but it's not five humans, it's one human and four agents." Scott Breitenother on why the unit of productivity has changed. #DataEngineering #AIAgents

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 21/02/2026

Bryan Bischof's hot take: self-serve data analytics is the hype trend most likely to derail. "People are selling third base. I'm still on first base." #DataEngineering #Analytics

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 17/02/2026

"I shit you not. I found one where it gave three backpacks." Bryan Bischof on the production bug where out-of-distribution items sat near the null vector and showed up in every recommendation. #MachineLearning #DataScience

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 15/02/2026

"Saying 'you are wrong' is not curious. Saying 'why are your priors different than what the data is showing' is curious." Bryan Bischof on Data Renegades #DataScience #DataCulture

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 10/02/2026

A feed broke. Roger Magoulas didn't notice. Tim O'Reilly called it out. His fix: a weekly "Synced" email confirming data freshness. Then he added insights. Soon it went company-wide. 🎧 Full episode: youtu.be/z3E0Pi4XaLg #dataengineering #datateams

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 08/02/2026

Phone numbers are seven digits because humans retain about four things plus or minus three. Roger Magoulas on why 47-tab dashboards don't work. Stakeholders will remember none of it. 🎧 www.heavybit.com/library/podc... #analytics #dataviz

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 04/02/2026

Want a better data stack + love fun data-pun stickers? Join the Data Valentine Challenge Feb 9–13 🦾 Attend all 5 webinars + 1 social post = get a sticker. Signup here: reccehq.com/data-valenti... #DataEngineering #DataQuality

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 03/02/2026

Next week: Fall in love with your data 💕 The Data Valentine Challenge 💘 5 days, 5 companies, 5 real fixes Data teams are drowning. You need quick wins. 30-60 -min daily challenges that actually move the needle. Recce • Greybeam • dltHub • Database Tycoon • Bauplan Details soon 👀 #DataEngineering

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 03/02/2026

LLMs are non-deterministic. But the code they generate is deterministic. Roger Magoulas: prompt for SQL that monitors your pipelines. Run the code. Sidestep the hallucination problem. 🎧 Full episode: www.heavybit.com/library/podc... #llm #dataengineering

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 31/01/2026

Data engineers are so buried in pipeline maintenance, feed monitoring, and DAG management that they cannot shift into insight mode. All reaction. No anticipation. Roger Magoulas on how the value gets crowded out.

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 26/11/2025

We are streaming all three episodes right now! If you want a look under the hood of the industry without the vendor hype, give it a listen on Apple Podcasts or wherever your favorite podcast is: www.heavybit.com/library/podc...

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 26/11/2025

Ep 3: Building Tools That Shape Data with Maxime Beauchemin (Airflow/Preset) explains why he feels like a "surgeon with superpowers" thanks to Agentic Coding. He also drops a hard truth: The era of the siloed specialist is ending. Breadth is now worth more than depth.

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 26/11/2025

Ep 2: Data Journalism Unleashed with Simon Willison (Django/Datasette) joins us to explain his "cunning plan." He builds tools for journalists (who have no money) because he knows those same tools solve the hardest problems for the enterprise.

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 26/11/2025

The data industry is noisy. We wanted to help create some quiet. 🤫 We are proud to launch the Data Renegades podcast today, the brainchild of our founder @clkao.bsky.social and Head of Data @doriwilson.com They set out to build the show they actually wanted to listen to: 🧵👇

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 30/08/2025

Metadata analysis eliminates unnecessary validation queries. Data practitioners commonly validate dbt changes by checking row counts across all downstream models: 47 models generating significant warehouse costs to identify the 3 that actually changed. Try using metadata only

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 25/08/2025

Column-level lineage emerges from standard dbt artifacts. Running `dbt run` and `dbt docs generate` produces artifacts that enable column-level lineage visualization and impact analysis. cloud.reccehq.com accepts dbt artifacts to demonstrate metadata analysis

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 27/07/2025

A partial breaking change can have no impact on downstream models. Though breaking change analysis works at the column level, identifying a partial breaking change still isn't enough to get the precise impact radius. Why breaking change analysis isn't enough 👇 reccehq.com/blog/Buildin...

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 25/07/2025

🚨 Breaking Change Analysis Gap Confusing Data Teams Software Dev: Breaking changes = planned improvements Analytics Engineering: Breaking changes = unplanned problems Solution: Column-level precision showing what actually needs validation. reccehq.com/blog/Buildin...

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 23/07/2025

A partial breaking change can have full impact on downstream models. Though breaking change analysis works at the column level, identifying a partial breaking change still isn't enough to get the precise impact radius. Why breaking change analysis isn't enough 👇

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 21/07/2025

**Data validation is only useful if teams adopt it.** Early demos of Recce, which highlights exactly what changes and how to validate, showed strong response. But low setup success rates revealed a different story. The team is now reducing this friction. Stay tuned.

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 18/07/2025

Breaking change analysis reveals WHAT changed, but not what to DO about it. Teams discover a model has a partial breaking change. But which downstream models need validation? Which columns? reccehq.com/blog/Buildin...

A partial breaking change can have full impact on downstream models.

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 15/07/2025

'Validate everything downstream' is expensive and wasteful. Impact Radius changes that to 'validate exactly what matters' with column-level precision. 🙌 Explore the insights and discoveries that shaped this approach. reccehq.com/blog/Buildin...

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 11/07/2025

From validating all downstream models to validating only what matters. Impact Radius delivers precision in data validation. Instead of 'validate everything downstream,' teams can now 'validate exactly this.' 🧵 How column-level precision transforms validation workflows reccehq.com/blog/Buildin...

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 04/07/2025

Recce is now SOC 2 Type 2 compliant! Our security controls don't just work in theory, they work consistently in practice. For data teams: same speed and visibility, now with battle-tested security. Our Trust Center: trust.reccehq.com #SOC2 #DataSecurity #DataEngineering

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 04/07/2025

"Which downstream models actually need my attention?" Every data engineer asks at 11pm before a deploy. Syntax and tests? Those aren't your real worry. We're obsessed with helping teams validate precisely what matters. 🧵 See how we build Impact Radius reccehq.com/blog/Buildin...

What downstream models actually need my attention?

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 02/07/2025

Benefits of "automate everything" data validation , but hidden cost 💸 1️⃣ Compute Spend 2️⃣ Alert Fatigue 3️⃣ Team Trust Compare automation-first vs human-in-the-loop: datarecce.io/blog/recce-v... #DataEngineering #DataValidation #dbt #DataCosts

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 01/07/2025

Is high-quality data the same as correct data? Data can pass every test, but still be wrong! ✅ Schema checks ✅ Null constraints 🚫 No correctness validation Recce introduces a workflow built around data correctness Find and fix silent errors: reccehq.com/blog/high-qu... #dataquality #dbt

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 01/07/2025

Your team’s judgement should become team knowledge, not just lost in Slack. Every PR review is a decision: ✅ What matters ❌ What doesn’t 🧠 Why a change is okay or not Learn how👉 datarecce.io/blog/more-th...

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 25/06/2025

Choose Recce and Datafold? Datafold if: → large-scale data → automated CI/CD coverage all Recce if: → focus on dev-time validation → prefer lightweight, open-source flexibility Full comparison: datarecce.io/blog/recce-v... #DataEngineering #DataValidation #dbt #BuyersGuide

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 24/06/2025

Auto-diff every model on every PR? You’ll get ⚠️ dozens of alerts, irrelevant! CI without context = alert spam. Real-world data work needs: what changed, why, and what to do. Learn how 👉 datarecce.io/blog/more-th... #dataengineering #datadiff #analyticsengineering #datavalidation

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 18/06/2025

Hot take: Automating ALL data diffs by default is backwards 🔥 🤖 Datafold's automation-first vs 🙋Recce's human-in-the-loop philosophy Getting 50 automated alerts or 5 targeted insights? See comparison datarecce.io/blog/recce-v... #DataEngineering #DataValidation #datadiff

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 11/06/2025

"The value didn't justify the effort." A Sr. Data Engineer at Swedish MediaTech after their Datafold PoC. ❌ Heavy setup → Noisy results → Alert fatigue → No way to start small Comparsion: datarecce.io/blog/recce-v... #DataEngineering #DataValidation #analyticsengineering

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 10/06/2025

Don’t start with what changed. Start with what SHOULD change! Because not every diff is a problem, and not every problem shows up as a diff. 👉 datarecce.io/blog/more-th... #dataengineering #datadiff #analyticsengineering #datavalidation

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 03/06/2025

🚨 Data diff isn’t enough. You’re putting out harmless fires while real metric failures burn unnoticed. You don’t need more diffing. You need better understanding. Read 👉 datarecce.io/blog/more-th... #dataops #datadiff #datavalidation #dataengineering

A diff only shows you something changed, but not why, or what to do next.

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Recce - Trust, Verify, Ship @datarecce.bsky.social · 22/05/2025

Understanding these types helps you validate logic, assess risk, and build more transparent models in dbt Recce uses this classification to power column-level lineage and breaking change analysis Read more: datarecce.io/blog/column-... #recce #dbt #lineage #dataengineering

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