# data stack — RSS Amplifier

Recent posts from the 6 feeds in the RSS Amplifier directory that cover data stack.

Page: <https://rssamplifier.com/topics/data-stack>  
Feed: <https://rssamplifier.com/topics/data-stack.md>

---

## [Figma for Agents: How Airflow&#39;s Creator Coordinates AI ft. Maxime Beauchemin](https://www.ssp.sh/blog/figma-for-agents-max-beauchemin/)

_2026-08-06 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

It&rsquo;s hard to keep up with the AI evolution; new AI tools drop every week, but how are experienced practitioners actually using them? Most of us are overwhelmed and unsure about the many possibilities, yet we need to keep going and do our work. You might use AI agents all day long, parallelize them with AI Orchestrators, tmux, git worktree, and so on, using AI IDEs, but in the end, you still…

## [Re-Air: Will AI Permanently Disrupt the Bundling and Unbundling Cycle?](https://datastackshow.substack.com/p/re-air-will-ai-permanently-disrupt)

_2026-07-29 · The Data Stack Show_

Listen now | This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/208701642/3e86f87826a9d7c3c0dde41046f456df.mp3)

## [The Act and the Outcome of Creation](https://www.ssp.sh/blog/on-creation/)

_2026-07-16 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Creation is the ultimate form of pursuing ourselves, giving to the world when shared, and using the power of our subconscious. It gives us joy, and to every artist, it is the ultimate (flow) state of happiness. The Act of Creation The act of creation is an outlet. It gives joy to us when we create something out of nothing, we block out anxiety or boredom. Creating should be done like:

## [The Grammar of Data: Define Once, Run Anywhere with Cross-Engine Expressions](https://www.ssp.sh/blog/grammar-data-engineering/)

_2026-07-08 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Grammars for languages or any other field are a beautiful thing. They compress complex systems into a language with a couple of rules. For the spoken language example, we know when to capitalize a letter or how to start a sentence. There are clear rules. Grammars also help us remember, as we do not need to recall every little rule, but apply them in a structured way. For text editing, we have Vim…

## [Where AI Agents Belong in Data Engineering: The Correctness Layer](https://www.ssp.sh/blog/where-agents-belong-in-de/)

_2026-07-07 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

With ever-changing models, new and better ones coming out every few months, it&rsquo;s great if we don&rsquo;t have to rely on them too heavily. The better your tooling, the less dependent you become on any single model. That&rsquo;s also why the deterministic harness matters: a correctness layer that lets you reproduce outputs and trace lineage regardless of which model you&rsquo;re running…

## [The Process of Smart Note-Taking](https://www.ssp.sh/blog/process-smart-note-taking/)

_2026-06-27 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

I&rsquo;ve taken notes over my whole life. As a Swiss, I&rsquo;m very particular about organization and structured in filing my knowledge. I&rsquo;ve tried and taken notes in many different ways, from forgetting everything, to noting down every detail, to only taking listings of the most important things. Today, I can say, there&rsquo;s no right way, but I can see it&rsquo;s working for me, as my…

## [Operationalizing Data Orchestration: Best Practices for DevOps, Infra, and Code Locations](https://www.ssp.sh/blog/operationalizing-data-orchestration/)

_2026-06-27 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Operating the data orchestration layer can be as critical as the source OLTP databases, when decisions are taken from the data assets produced by downstream data pipelines. When orchestration gets at the heart of triggering and observing most of the schedules or assets, there is even more importance involved. In Part 1 I argued that the open data platform makes orchestration data and its flow…

## [How we build the ToFu LinkedIn CRM](https://nonamevc.substack.com/p/how-we-build-the-tofu-linkedin-crm)

_2026-06-22 · Daniel Chepenko · nonamevc_

And no, it’s not “I vibe-coded my own CRM this weekend, I don’t need HubSpot anymore.” post.

## [Re-Air: The End of Busywork: How AI Transforms Productivity at Scale with Alberto Rizzoli of V7](https://datastackshow.substack.com/p/re-air-the-end-of-busywork-how-ai)

_2026-06-17 · The Data Stack Show_

Listen now | This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/201501694/92c61fe223fc0c3d81af801f92757c08.mp3)

## [Vibe Coding Is Dangerous, Agentic Engineering Isn&#39;t—Wes McKinney](https://www.ssp.sh/blog/how-to-use-ai-with-de-wes-mckinney/)

_2026-06-11 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

This series interviews real practitioners to extract the patterns behind how they actually use AI in their data work today. This is the second interview in &lsquo;How to use AI with DE&rsquo;, and this time we have none other than Wes McKinney. Creator of Pandas, probably the most widely used data analysis library for Python, Wes has shaped the era of data and is co-creator of Apache Arrow. He…

## [AI News Summaries & Audio (Sponsored)](https://crawlproof.com/a/ezcN8I2n0Z5t)

_2026-06-11 · **Sponsored**_

Tap an article for an AI summary and an audio briefing.

## [Beyond the Semantic Layer: Building a Context Layer for the Agentic Era](https://www.ssp.sh/blog/agentic-context-layer/)

_2026-06-11 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Writing SQL was never the hard part. Making it accurate and trustworthy against your warehouse always was. Point an AI agent like Claude or Codex at your data stack and ask a real analytics question, and the answer is usually mediocre: the agent can scrape some context from your git repos or whatever metadata it can find, but it doesn&rsquo;t know your joins, your metric definitions, or the…

## [Plan Mode All the Time, Substrait over SQL, and the End of the DE Role ft. Chris Riccomini](https://www.ssp.sh/blog/how-to-use-ai-with-de-chris-riccomini/)

_2026-05-26 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

This series interviews (see #1 with Mark Freeman ) real practitioners to extract the patterns behind how they actually use AI in their data work today. This is the second interview in &lsquo;How to use AI with DE&rsquo;, and this time we have none other than Chris Riccomini . Chris has seen the data stack evolve over the years. He thinks AI will soon handle the majority of data engineering work,…

## [The Dagster Almanack: From Complexity to Composability](https://www.ssp.sh/blog/dagster-almanack-open-data-platform/)

_2026-05-26 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

I have read the &ldquo;Poor Charlie&rsquo;s Almanack&rdquo; by Charlie Munger and thought about what it would take to write one for Dagster. A complete guide with all the insights, tips, and some predictions for the data platform engineer, just like an Almanack provides, with practical information for daily life. My goal is to offer a collection of wisdom, insights, and principles gathered over…

## [Re-Air: The Rise of the Citizen Developer: Solving Business Problems with Alteryx and AI with Andy Macmillan](https://datastackshow.substack.com/p/re-air-the-rise-of-the-citizen-developer)

_2026-05-20 · The Data Stack Show_

Listen now | This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/197562041/d074b482ccb91f001b3bb0f4726f3194.mp3)

## [Internal vs. External Storage? What&#39;s the Limit of External Tables](https://www.ssp.sh/blog/modern-external-tables-and-evolution/)

_2026-05-13 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

When I started my career as a data warehouse engineer and business intelligence engineer in 2003, external tables with materialized views were the standard. We used external tables to integrate CSV files and other data not already in Oracle databases. Oracle External Tables have existed since 2001, and that&rsquo;s where I first used them. If the Lindy Effect continues to hold, we&rsquo;ll use…

## [Re-Air: AI and BI: The Future of Data Analytics with Mike Driscoll of Rill Data](https://datastackshow.substack.com/p/re-air-ai-and-bi-the-future-of-data)

_2026-04-22 · The Data Stack Show_

This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting. This week on The Data Stack Show, Eric and John welcome Michael Driscoll, Co-Founder and CEO of Rill Data. Mike discusses the transformative impact of AI on business intelligence (BI) and data analytics. He also explores the shift from traditional dashboard-based tools to more dynamic,…

[Listen](https://api.substack.com/feed/podcast/194525684/5d020b24c43468c6a9c4a109feb79ef8.mp3)

## [AI Reveals Why BI Still Matters](https://www.ssp.sh/blog/bi-is-not-dead-2026/)

_2026-04-21 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Ask a BI engineer what they actually spend their time on: it&rsquo;s not building dashboards. More often: fixing the join that broke in the overnight pipeline, untangling the metric definition that means three different things to three different teams, or getting last week&rsquo;s numbers into an Excel by Monday morning. The dashboard was always the easy part. This article looks at how BI evolved,…

## [Pourquoi votre LLM hallucine sur vos données (et comment y remédier)](https://carnetdata.substack.com/p/pourquoi-votre-llm-hallucine-sur)

_2026-04-20 · Vincent Heuschling · Carnet Data et IA_

ce que personne ne vous dit quand vous branchez une IA sur votre base de données.

## [Palantir : sous le capot](https://carnetdata.substack.com/p/palantir-sous-le-capot)

_2026-04-16 · Vincent Heuschling · Carnet Data et IA_

Ce que Foundry, Gotham, AIP et Apollo font vraiment — d'un point de vue data engineering

## [Specs Over Vibes: Consistent AI Results ft. Mark Freeman](https://www.ssp.sh/blog/specs-over-vibes-interview-mark-freeman/)

_2026-04-07 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

There&rsquo;s so much going on in the AI space, and how to work with AI agents is changing every day. Everyone is overwhelmed and almost numb from so many possibilities, yet you need to find a way to work with AI, not to get left behind, right? You might use AI agents all day long, parallelizing them with AI orchestrators like Agent Teams, Gastown, tmux, git worktree, and AI-based IDEs, but in the…

## [Screen Share With Real Control (Sponsored)](https://crawlproof.com/a/yBXwO9xAuOXb)

_2026-04-07 · **Sponsored**_

Collaborative screen sharing with simultaneous remote control — open source, like Screenhero.

## [Building an Agent-Friendly, Local-First Analytics Stack with MotherDuck and Rill](https://www.ssp.sh/blog/agentic-friendly-local-first-analytics-stack/)

_2026-04-07 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Imagine going from a 100-million-row dataset to an interactive analytics app with just a few prompts. What used to take hours or days can now be done in minutes by combining local-first databases and BI tools with an agentic coding workflow. When Rill bet on YAML dashboards and CLI-first workflows in 2022, they weren&rsquo;t thinking about AI agents. Neither was MotherDuck when they built…

## [Book review: Vibe Coding: Building production grade software with Gen AI, chat, agents, and beyond](https://www.pramodb.com/index.php/2026/03/26/book-review-vibe-coding-building-production-grade-software-with-gen-ai-chat-agents-and-beyond/)

_2026-03-26 · pramod · Pramod Biligiri_

I recommend giving this book by Steve Yegge and Gene Kim a good skim even if not a thorough read. I found its best parts to be their advice about the day-to-day approach a software developer can take with respect to coding assistants (Part 3 of the book). But should you even invest time in \[ \]

## [Re-Air: Data Tools, Templates, and the Trouble with “Easy” Solutions with the Cynical Data Guy](https://datastackshow.substack.com/p/re-air-data-tools-templates-and-the)

_2026-03-11 · The Data Stack Show_

Listen now | This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/190092609/920d47f298d919d5249ae4ab07d3f177.mp3)

## [Why I Still Blog — and Why the Future of Blogging Is Connected](https://www.ssp.sh/blog/why-i-still-blog/)

_2026-03-06 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

I&rsquo;ve been online twenty years, and blogging for ten of them. This is the story and lessons learned of blogging online for a decade. It goes beyond blogging topics and includes note-taking (workflow) , how to write well as well as the medium in which writing works best, and also the format in which writing works long-term such as writing in open formats and methods such as vim motions to…

## [Git for Data Applied: Comparing Git-like Tools That Separate Metadata from Data](https://www.ssp.sh/blog/git-for-data-tools/)

_2026-03-03 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Continuing from Part 1 , where we learned what git for data is, how the architecture and use cases work, how you can achieve git-like functionality with different approaches, and how the key is to avoid moving data as much as possible to keep state that can be referenced and rolled back to, but at the same time saving cost by not duplicating all data every time you create a new branch.

## [Building an Obsidian RAG with DuckDB and MotherDuck](https://www.ssp.sh/blog/obsidian-rag-duckdb-sql/)

_2026-02-12 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

I always wanted a personal knowledge assistant based on my notes. One that uses Obsidian&rsquo;s backlinks and connections to surface ideas I&rsquo;ve forgotten or never thought to link together. So I built one. A RAG system that runs locally with DuckDB as a vector database , then syncs to MotherDuck for a serverless web app running entirely in the browser via WASM. Think of it like J.A.R.V.I.S 1…

## [Re-Air: Data Teams at the Crossroads: Proving Value in a Changing Business Landscape with Ben Rogojan](https://datastackshow.substack.com/p/re-air-data-teams-at-the-crossroads)

_2026-02-11 · The Data Stack Show_

Listen now (53 mins) | This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/187006923/733a1f12b52227a5583ec1b847800308.mp3)

## [Arch Linux (Omarchy) — 8 Months Later: The Good, the Bad, and the Fixable](https://www.ssp.sh/blog/linux-omarchy-the-good-bad-and-fixable/)

_2026-02-10 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

This is a follow-up to my part 1 of Switching macOS to Arch Linux with Omarchy , where I documented my first months with Arch Linux and \[\[Omarchy\]\], after switching from 15 years of using macOS and Windows on and off at work since 2003. Back then, I had a checklist of basics I needed before I could commit to Linux as a daily driver: Obsidian, a Raycast-like launcher for fuzzy finding files and…

## [Why Coinbase and Pinterest Chose StarRocks: Lakehouse-Native Design and Fast Joins at Terabyte Scale](https://www.ssp.sh/blog/starrocks-lakehouse-native-joins/)

_2026-02-09 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Why is StarRocks gaining popularity among data engineers who need fast analytics on large-scale data? To find out, I did a deep dive on the companies actually using StarRocks in production, interviewing engineers and studying technical case studies from Coinbase, Pinterest, Fresha, Grab, TRM Labs, and Shopee. They all share a similar pattern: customer-facing analytics on Snowflake got too slow,…

## [Re-Air: From Anxiety to Advantage: Navigating Data’s AI Revolution with Barry McCardel of Hex](https://datastackshow.substack.com/p/re-air-from-anxiety-to-advantage)

_2026-01-14 · The Data Stack Show_

Listen now | This episode is a re-air of one of our most popular conversations, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/183815671/06ab6908f4078a3e9d662bc752b32f62.mp3)

## [Get started with Turso (Sponsored)](https://crawlproof.com/a/C2aMnP8d9apz)

_2026-01-14 · **Sponsored**_

Create your Turso account to access the app.

## [A Diary of a Data Engineer](https://www.ssp.sh/blog/diary-of-a-data-engineer/)

_2026-01-13 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

You ingest data. You model it. You transform it. You serve it. Someone asks for a change. Everything breaks. You rebuild. This is the loop. It was the loop in 2005 with SSIS and star schemas. It&rsquo;s the loop in 2025 with dbt and Iceberg, or 2026 with prompting AI agents. The tools change. The loop doesn&rsquo;t. The Invisible Plumbers When I started my career in 2003, there was no &ldquo;data…

## [Well Being in Times of Algorithms](https://www.ssp.sh/blog/well-being-algorithms/)

_2025-12-22 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

To be able to live well, to avoid anxiety and depression, it&rsquo;s not that easy anymore in 2025. Everything is designed to grab our attention , and our attention span is declining and \[\[Learning with AI|disallowing people to think and learn\]\]. Algorithms know more about us than our spouses while grabbing our attention constantly. This is bad for our health. Bad for our spirit. Bad for our…

## [Opinionated Data Platforms vs. Open-Source: The Chef’s Choice for Your Data Platform](https://www.ssp.sh/blog/omakase-data-stack/)

_2025-12-10 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

With the recent consolidation in the area of Modern Data Stack, the question arises: are open data stacks, a more flexible but labor-intensive way of building data platforms, out of fashion? Are we transitioning into an era where we use unified data platforms that do end-to-end analytics and are integrated with metadata and control plane? Data platforms that make the automatic choices provide a…

## [Simplicity of a Database, but the Speed of a Cache: OLAP Caches for DuckDB](https://www.ssp.sh/blog/olap-cache-for-duckdb/)

_2025-12-09 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

A constant struggle in data is to make everything fast. This holds true for the ingest, for the data pipeline, but most certainly for the visualization part. When you use a BI dashboard and present data to users, you most always have a SQL query in the background that can be slightly complex when you have most logic in your data warehouse and persisted as tables so the query from the BI tool is…

## [Dlt&#43;ClickHouse&#43;Rill: Multi-Cloud Cost Analytics, Cloud-Ready](https://www.ssp.sh/blog/finops-dlt-clickhouse-rill/)

_2025-12-04 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Following up on Part 1 , where we created an entire end-to-end FinOps project to analyze cloud costs from different hyperscalers with dlt and local parquet files. In this part 2, we set up a version that works cloud-native with ClickHouse Cloud and Rill Cloud. So you can share your dashboard and it scales to any cost data you might have. The work is done through a GitHub action job for…

## [Re-Air: Confidently Wrong: Why AI Needs Tools (and So Do We)](https://datastackshow.substack.com/p/re-air-confidently-wrong-why-ai-needs)

_2025-12-03 · The Data Stack Show_

This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/178903897/72f24726931f4f8408e1749d6c2ec378.mp3)

## [Branch, Test, Deploy: A Git-Inspired Approach for Data](https://www.ssp.sh/blog/git-for-data-theory/)

_2025-12-03 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Remember the 2 AM on-call duty when a recent data pipeline broke the production environment? A data pipeline you&rsquo;ve never touched just corrupted customer records. You need to roll back, fast. Or you want to test a new transformation on real production data before deployment, but recreating a production-like state in dev would take all day. Sounds familiar? This is what a Git strategy for…

## [What I'm doing in GTM as B2B SaaS founder as of Dec 25](https://nonamevc.substack.com/p/what-im-doing-in-gtm-as-b2b-saas)

_2025-12-01 · Daniel Chepenko · nonamevc_

This isn’t a post to showcase expertise, and it’s not a theoretical review either.

## [Re-Air: Bridging Gaps: DevRel, Marketing Synergies, and the Future of Data with Pedram Navid of Dagster Labs](https://datastackshow.substack.com/p/re-air-bridging-gaps-devrel-marketing)

_2025-11-26 · The Data Stack Show_

This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/178903397/f177336e3806a5e6601567b798061e01.mp3)

## [Multi-Cloud Cost Analytics: From Cost-Export to Parquet to Rill](https://www.ssp.sh/blog/cost-analyzer-aws-gcp/)

_2025-11-21 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Companies often use multiple platforms simultaneously: Lovable for apps, OpenAI and Claude for AI, AWS and GCP for infrastructure. Tracking costs across these services becomes nearly impossible without a unified dashboard. You&rsquo;re looking at AWS bills in one place, GCP invoices in another, AI API costs in a third spreadsheet. Combining cloud costs with Monthly Recurring Revenue (MRR) to…

## [Re-Air: Context is King: Building Intelligent AI Analytics Platforms with Paul Blankley of Zenlytic](https://datastackshow.substack.com/p/re-air-context-is-king-building-intelligent)

_2025-11-19 · The Data Stack Show_

This episode is a re-air of one of our most popular conversations from this year, featuring insights worth revisiting.

[Listen](https://api.substack.com/feed/podcast/178900332/ab5741b776a76ac4f34380edeed7b243.mp3)

## [Boredom is the New Luxury](https://www.ssp.sh/blog/owning-things-attention/)

_2025-11-18 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Today, I sent out a newsletter that is distributed only via email. However, because I believe the content serves as a friendly reminder of how the pendulum is swinging back and offers nuggets of wisdom on how to live life, I&rsquo;m sharing it here as a blog post as well. The Newsletter: I hope you are all well. It&rsquo;s not an easy time. I don&rsquo;t know what to write about, but I also had…

## [How we use Attio for a new PLG startup](https://nonamevc.substack.com/p/how-we-use-attio-for-a-new-plg-startup)

_2025-11-18 · Daniel Chepenko · nonamevc_

Engineering the product-led growth movement in Attio

## [I attended YourStory TechSparks 2025](https://www.pramodb.com/index.php/2025/11/07/i-attended-yourstory-techsparks-2025/)

_2025-11-07 · pramod · Pramod Biligiri_

I attended Day 1 of the YourStory TechSparks 2025 conference and had a great time there! Some of the talks were very high quality, like for example the conversation with Mukesh Bansal (co-founder of Flipkart and currently heading Nurix.ai), a presentation by Mohit Saxena (CTO at InMobi) and the interview with Rajan Anandan (former head \[ \]

## [4 Senior Data Engineers Answer 10 Top Reddit Questions](https://www.ssp.sh/blog/data-engineers-roundtable-reddit/)

_2025-11-03 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Every day, thousands of data engineers scroll through r/dataengineering (174K members strong) looking for answers to the same fundamental questions: How do I prepare for interviews in this market? What do I do about data quality? Should I use a data warehouse or jump on the lakehouse bandwagon? We analyzed the most-upvoted questions and concerns—the ones with hundreds of comments that capture the…

## [Orchestrer des agents IA : Haiku 4.5 au service de Sonnet 4.5](https://carnetdata.substack.com/p/orchestrer-des-agents-ia-haiku-45)

_2025-10-24 · Vincent Heuschling · Carnet Data et IA_

Utiliser des modèles différents dans une architecture superviseur-travailleurs pour optimiser les couts et les temps de réponse.

## [Data Modeling for the Agentic Era: Semantics, Speed, and Stewardship](https://www.ssp.sh/blog/agentic-data-modeling/)

_2025-10-17 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

In data analytics, we&rsquo;re facing a paradox. AI agents can theoretically analyze anything, but without the right foundations, they&rsquo;re as likely to hallucinate a metric as to calculate it correctly. They can write SQL in seconds, but will it answer the right business question? They promise autonomous insights, but at what cost to trust and accuracy? These days, everyone is embedding AI…

## [Fivetran x DBT Labs : L'avenir de la Modern Data Stack ?](https://carnetdata.substack.com/p/fivetran-x-dbt-labs-lavenir-de-la)

_2025-10-14 · Vincent Heuschling · Carnet Data et IA_

Après SQL Mesh, c'est au tour de DBT Labs d'être absorbé par Fivetran. Mais ou va donc la Modern Data Stack ?

## [Beyond Basic ETL: Enterprise Data Capabilities Without the Complexity](https://www.ssp.sh/blog/beyond-basic-etl/)

_2025-10-13 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

Most data teams spend 80% of their time wrestling with infrastructure—writing custom UPSERT logic, building incremental loading from scratch, or debugging why their Airflow DAGs failed again at 2 AM. Meanwhile, the business is still waiting for those critical data insights. This article is a follow-up to Part 1 , where we explored declarative data stacks. Here, we dive into the specific…

## [Why I Don&#39;t Research; and Write from Experience](https://www.ssp.sh/blog/why-i-dont-research/)

_2025-09-17 · hello@sspaeti.com (Simon Späti) · Blogs on Data Engineering Blog & Second Brain_

When I \[\[Writing|write\]\], I deliberately don&rsquo;t research. The fun of writing is to express myself and explain something in my head. Not researching something and losing focus. Recall what I read is not fun to me. I want to share my opinions. In a way, my research is taking notes on my Second Brain , all the time, everywhere. But not to one topic, about everything, not connected yet. When I…

