# data mesh (blogs) — RSS Amplifier

Recent posts from the 3 feeds in the RSS Amplifier directory that cover data mesh.

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

---

## [Project Lighthouse — Part 3: Introducing project-lighthouse-anonymize](https://medium.com/airbnb-engineering/project-lighthouse-part-3-introducing-project-lighthouse-anonymize-74f8b26653fb?source=rss----53c7c27702d5---4)

_2026-08-25 · Adam Bloomston · The Airbnb Tech Blog - Medium_

Project Lighthouse — Part 3: Introducing project-lighthouse-anonymize The data in Project Lighthouse is powered by privacy-preserving anonymization code. We’ve put this code into open source, and published two new technical papers detailing the scalable algorithms and data quality frameworks behind it. By: Adam Bloomston Introduction In 2020, we launched Project Lighthouse, which we developed in…

## [How we knew COVID was over (and what our models had to unlearn)](https://medium.com/airbnb-engineering/how-we-knew-covid-was-over-and-what-our-models-had-to-unlearn-c606b9bdb0ab?source=rss----53c7c27702d5---4)

_2026-08-19 · Harrison Katz · The Airbnb Tech Blog - Medium_

When we retrain, when we rebuild, and when we leave a model alone. By: Harrison Katz A forecast that carries weight The Forecasting Data Science team at Airbnb produces many of the forecasts the rest of the company plans around: demand, bookings, cancellations, and a range of finer cuts by market and segment, refreshed continuously across thousands of markets. The targets differ, and the models…

## [What is ownership?](https://andrew-jones.com/newsletter/2026-08-14-what-is-ownership/)

_2026-08-14 · Andrew Jones_

Hey, happy Friday! In this week&rsquo;s newsletter I write about what ownership is (it&rsquo;s complicated!). There&rsquo;s also links to articles on closing the context gap, getting your data team a seat at the table, and creating data & AI use cases. What is ownership? Ownership is a complicated thing. Often people are assigned ownership, for example by having their name listed as such in a…

## [Flexible Authentication: Reimagining authentication for millions of users at Airbnb](https://medium.com/airbnb-engineering/flexible-authentication-reimagining-authentication-for-millions-of-users-at-airbnb-3a8a4c917137?source=rss----53c7c27702d5---4)

_2026-08-12 · Jose Santos · The Airbnb Tech Blog - Medium_

Rebuilding login and signup surfaced product insights, not just technical challenges. Here’s how we designed Flexible Authentication at the intersection of product intuition and technical architecture. By : Jose Santos , Mike Barry For Airbnb, logins at irregular intervals are normal. A guest books a trip in January and may not open the app again until summer. A host checks back only when a…

## [Reliable output needs a reliable upstream](https://andrew-jones.com/newsletter/2026-08-07-reliable-output-needs-a-reliable-upstream/)

_2026-08-07 · Andrew Jones_

Hello 👋 This week I write about how, when our data output needs to be reliable, so does our input. There&rsquo;s also links to posts on using data contracts to build a shared language, federated data architecture with DuckDB, and Bitol (ODCS) becoming a graduate project at LF AI & Data. Reliable output needs a reliable upstream Years ago at GoCardless, we started feeding our data into ML models…

## [Limit what you have in your data contract](https://andrew-jones.com/newsletter/2026-07-31-limit-what-you-have-in-your-data-contract/)

_2026-07-31 · Andrew Jones_

Hello 👋 In this week&rsquo;s newsletter I write about limiting what you have in your data contract and only including fields that drive action, typically through automation. There&rsquo;s also links to articles on how a single source of truth initiative should focus on governance, inverting data architectures by federating data, and shifting quality left within a data warehouse. In this…

## [Eval-driven development: Lessons from evaluating GenAI at scale](https://medium.com/airbnb-engineering/eval-driven-development-lessons-from-evaluating-genai-at-scale-e817e5ae5788?source=rss----53c7c27702d5---4)

_2026-07-28 · Rohit Girme · The Airbnb Tech Blog - Medium_

How Airbnb teams build trustworthy Generative AI products by treating evaluation as a first-class engineering discipline; not an afterthought. Nestled into the lush hillside, this stunning modern retreat features striking natural wood architecture, terraced balconies, and a serene landscape. By: Rohit Girme , Dan Miller , Mia Zhao , Lifan Yang , Clint Kelly Introduction Generative AI breaks a lot…

## [IaC is a prerequisite for automation](https://andrew-jones.com/newsletter/2026-07-24-iac-is-a-prerequisite-for-automation/)

_2026-07-24 · Andrew Jones_

Hey, hope your week&rsquo;s been good! In this week&rsquo;s newsletter I write about how infrastructure/configuration as code is a prerequisite for automation, whether you are automating with platform tooling or with agents. There&rsquo;s also links to articles on improving agentic analytics, building an Agentic Development Platform, and Apache Ossie. IaC is a prerequisite for automation One of…

## [Personalizing Airbnb search by learning from the guest journey](https://medium.com/airbnb-engineering/personalizing-airbnb-search-by-learning-from-the-guest-journey-bcefd1915624?source=rss----53c7c27702d5---4)

_2026-07-21 · Daochen Zha · The Airbnb Tech Blog - Medium_

How we built a Transformer-based sequence model that encodes years of guest behavior to surface the right listings at the right time. By: Daochen Zha , Chun How Tan , Xin Liu , Bin Xu , Han Zhao , Xiaowei Liu , Jun Shi , Tracy Yu , Hui Gao , Huiji Gao , Liwei He , Michael Kinoti , Stephanie Moyerman , and Sanjeev Katariya Introduction Planning a trip on Airbnb rarely happens in a single session. A…

## [Data contracts anti-pattern #4: Your CI passed. Your data still broke.](https://andrew-jones.com/newsletter/2026-07-17-data-contracts-anti-pattern-4-your-ci-passed-your-data-still-broke/)

_2026-07-17 · Andrew Jones_

Hello, hope you&rsquo;ve had a good week! This week we had a hackathon and I built a data support agent 🤖 It was fun! I&rsquo;ll probably write about what I learned soon. On to the newsletter, and today is the fourth and final post in my series of data contracts anti-patterns, and is about change management for changes that impact the meaning of data, but not the structure. There&rsquo;s also…

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_2026-07-17 · **Sponsored**_

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## [From weeks to a day: how we made LLM evaluation fast enough to iterate on](https://medium.com/airbnb-engineering/from-weeks-to-a-day-how-we-made-llm-evaluation-fast-enough-to-iterate-on-14e2d35198b4?source=rss----53c7c27702d5---4)

_2026-07-14 · Baharak Saberidokht · The Airbnb Tech Blog - Medium_

Training an LLM is the easy part. The hard part is designing experiments and evaluations that you can trust enough to know whether the new model is actually an improvement. By : Baharak Saberidokht Introduction Shipping a production LLM system means iterating fast on improvements to something that is, by construction, non-deterministic. Models drift, judges disagree with themselves, references…

## [Data contracts anti-pattern #3: Vanity SLOs](https://andrew-jones.com/newsletter/2026-07-10-data-contracts-anti-pattern-3-vanity-slos/)

_2026-07-10 · Andrew Jones_

Hello 👋 Welcome to the third part in my series of data contract anti-patterns, following on from: Contracts as documentation Checkbox compliance This one is all about defining SLOs that actually make a difference. There&rsquo;s also links to articles on semantic vs context layers, building a semantic layer at Lyft, and data contracts in KCL. Data contracts anti-pattern #3: Vanity SLOs…

## [Data contracts anti-pattern #2: Checkbox compliance](https://andrew-jones.com/newsletter/2026-07-03-data-contracts-anti-pattern-2-checkbox-compliance/)

_2026-07-03 · Andrew Jones_

Hello! This is the second in my series of data contracts anti-patterns, following on from last week&rsquo;s post on contracts as documentation . Again, this one looks like progress, but in reality has no impact. There are also links to articles on data platform incident management and encoding your data expert. Finally I had a fun discussion on What every Beginner Should Know About Data Governance…

## [Data contracts anti-pattern #1: Contracts as documentation](https://andrew-jones.com/newsletter/2026-06-26-data-contracts-anti-pattern-1-contracts-as-documentation/)

_2026-06-26 · Andrew Jones_

Hello 👋 Hope you&rsquo;ve had a good week! I&rsquo;ve seen a lot of people succeed with data contracts, but I&rsquo;ve also seen a lot of people struggle. So, over the next four weeks I&rsquo;m going to write up 4 common anti-patterns I&rsquo;ve seen. Interestingly, each of them looks like progress, but they fail to solve the underlying problems. I&rsquo;ll kick this series off with the most…

## [Stop writing data governance policies](https://andrew-jones.com/newsletter/2026-06-12-stop-writing-data-governance-policies/)

_2026-06-12 · Andrew Jones_

Hello 👋 I&rsquo;m writing to you from Data Mesh Live at Antwerp, where I&rsquo;ve given a full day workshop and a well received talk on implementing a self-service data platform. Besides that I have lots to digest from some excellent talks and made many new great connections! This week&rsquo;s newsletter comes from that talk and is about scaling data governance by moving away from documents and…

## [Scaling beyond one: How Airbnb evolved its data architecture for a multi-product world](https://medium.com/airbnb-engineering/scaling-beyond-one-how-airbnb-evolved-its-data-architecture-for-a-multi-product-world-6125645d470c?source=rss----53c7c27702d5---4)

_2026-06-09 · Patrick Lam · The Airbnb Tech Blog - Medium_

How Airbnb’s data engineers and analytics engineers built a consistent and flexible data modeling framework to support the expansion into Homes, Experiences, and Services. By : Patrick Lam , Namrata Lamba , Jamie Stober With the May 2025 Summer Release, Airbnb redesigned its app, relaunched Experiences, and debuted Services, pushing us beyond our traditional Homes focus. For the data teams, this…

## [Meet your users where they are](https://andrew-jones.com/newsletter/2026-06-05-meet-your-users-where-they-are/)

_2026-06-05 · Andrew Jones_

Hello 👋 In this week&rsquo;s newsletter I talk about the importance of meeting your users where they are. There&rsquo;s also links to articles on a meshy approach to building data models, SQL patterns for catching fraud, and the case for data marketplaces. Meet your users where they are Around 8 years ago, before we built a self-serve data platform around the concept of data contracts, we built…

## [Sitar-agent: Building a reliable dynamic configuration sidecar at scale](https://medium.com/airbnb-engineering/sitar-agent-building-a-reliable-dynamic-configuration-sidecar-at-scale-b7e00c152068?source=rss----53c7c27702d5---4)

_2026-06-04 · Bo Teng · The Airbnb Tech Blog - Medium_

How Airbnb built a Kubernetes sidecar to deliver dynamic configuration reliably at scale. By : Bo Teng , Cosmo Qiu , Siyuan Zhou , Ankur Soni , Xin Huang , Willis Harvey Introduction In our previous post , we explored Airbnb’s dynamic configuration system, Sitar, with a focus on service architecture and configuration change safety. Now for the harder question: once a config change is committed,…

## [When history fails you, borrow from geography](https://medium.com/airbnb-engineering/when-history-fails-you-borrow-from-geography-915a72b91b5c?source=rss----53c7c27702d5---4)

_2026-06-02 · Harrison Katz · The Airbnb Tech Blog - Medium_

How Airbnb used sequential geographic recovery signals and prior propagation to generate reliable corridor-level forecasts when local data was scarce. By: Harrison Katz The problem with unprecedented shocks Almost every forecasting system is built on the same implicit assumption: the future will resemble the past. You train on historical data, you validate on holdout periods, and you trust that…

## [You can't just blame data producers for poor data quality](https://andrew-jones.com/newsletter/2026-05-22-you-can-t-just-blame-data-producers-for-poor-data-quality/)

_2026-05-22 · Andrew Jones_

Hello again 👋 In this week&rsquo;s newsletter I write about how we can&rsquo;t just blame data producers, we need to look at ourselves and the support we give them. There&rsquo;s also links to context, finally achieving self-serve analytics, and synthetic customers. Enjoy! You can&rsquo;t just blame data producers for poor data quality As data teams we know what poor quality data looks like. We…

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_2026-05-22 · **Sponsored**_

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## [Scaling Airbnb’s identity graph with a unified knowledge graph infrastructure](https://medium.com/airbnb-engineering/scaling-airbnbs-identity-graph-with-a-unified-knowledge-graph-infrastructure-ebac467b7836?source=rss----53c7c27702d5---4)

_2026-05-19 · Lucen Zhao · The Airbnb Tech Blog - Medium_

How Airbnb shifts from PaaS to an internal knowledge graph infrastructure at scale. By: Lucen Zhao , Shukun Yang , Ashish Jain Knowledge graphs offer a natural and powerful way to represent relationships between entities. Many real-world systems are fundamentally about connections. Airbnb’s identity graph captures relationships between users in a graph database. The identity graph serves…

## [Make your golden paths actually golden](https://andrew-jones.com/newsletter/2026-05-15-make-your-golden-paths-actually-golden/)

_2026-05-15 · Andrew Jones_

Hey, hope you&rsquo;re well :) Big week for me personally as I started my new role at LocalStack , where I&rsquo;ll be supporting our data team as we define and scale our data platform architecture. On to the newsletter, and this week I write about how to make your golden paths actually golden. There&rsquo;s also links to articles on self-serve data, north star metrics for AI data products, and…

## [Viaduct 1.0 and the future of Airbnb’s data mesh](https://medium.com/airbnb-engineering/viaduct-1-0-and-the-future-of-airbnbs-data-mesh-6bab4ec98b89?source=rss----53c7c27702d5---4)

_2026-05-13 · Adam Miskiewicz · The Airbnb Tech Blog - Medium_

Moving from an internal tool to a community-driven, production-ready data mesh. By : Ryan Tanner , Raymie Stata , Adam Miskiewicz Introduction We’re excited to announce the 1.0 release of the Viaduct. This release marks a shift from Viaduct being an Airbnb-internal tool that happens to be open source to a true community-driven project with a stable public API. The 1.0 release includes substantial…

## [Monitoring reliably at scale](https://medium.com/airbnb-engineering/monitoring-reliably-at-scale-ca6483040930?source=rss----53c7c27702d5---4)

_2026-05-05 · Abdurrahman J. Allawala · The Airbnb Tech Blog - Medium_

Designing monitoring that works when everything else doesn’t. By : Abdurrahman J. Allawala Introduction When an incident hits, teams lean on observability to answer the only questions that matter: what’s broken, and why? Monitoring systems are designed to help you answer these questions, and they usually do. But what happens when your observability stack is dependent on the same systems that are…

## [Per-project VS Code coloured windows](https://andrew-jones.com/blog/per-project-vs-code-coloured-windows/)

_2026-05-04 · Andrew Jones_

Following on from my trick to change my terminal colour based on the project (git repo) I&rsquo;m in, Simon Späti shared that he does the same for his editor, Neovim. Which got me thinking, could I do the same for my editor, VS Code? Turns out I could by writing a small VS Code extension, with AI assistance. This only changes the colour of the title bar, rather than the entire background like my…

## [Data contracts are a simple concept](https://andrew-jones.com/newsletter/2026-05-01-data-contracts-are-a-simple-concept/)

_2026-05-01 · Andrew Jones_

Hello 👋 In this week&rsquo;s newsletter I write about the simple concept of data contracts, and its power. There&rsquo;s also links to articles on the 7-table fallacy and measurement engineering. Data contracts are a simple concept In a virtual book signing earlier this week at ODSC East , I was asked: For teams new to the concept, how would you explain data contracts in simple terms? My answer:…

## [The quality of a data product is its data and its code](https://andrew-jones.com/newsletter/2026-04-24-the-quality-of-a-data-product-is-its-data-and-its-code/)

_2026-04-24 · Andrew Jones_

Hello 👋 Today I write about how the quality of a data product is not just the data, it&rsquo;s the code behind it too. There&rsquo;s also links to articles on building an LLM platform, speed when decentralising, and building decision systems. The quality of a data product is its data and its code Often when we think about the quality of a data product, we think only about the data quality, such…

## [Service catalog](https://andrew-jones.com/reference/service-catalog/)

_2026-04-23 · Andrew Jones_

A service catalog is an increasingly common component of internal developer platforms. They primarily serve two personas/use cases. The first is a system owner/engineer, who are responsible for services and/or the code behind them. The service catalog gives them one place to go to find out everything about their service or any other service they might be interested in, e.g. to integrate with or to…

## [Per-project terminal colours](https://andrew-jones.com/blog/per-project-terminal-colours/)

_2026-04-23 · Andrew Jones_

Here&rsquo;s a small but nice improvement I&rsquo;ve made to my terminal recently that has been effective for me. I generally have many terminal windows open across many git-based projects, which I&rsquo;m regularly switching between. Now, my terminal windows have different colours for each project. This is what it looks like: This is the code I&rsquo;ve added to my zshrc , written with AI…

## [The right level of abstraction](https://andrew-jones.com/newsletter/2026-04-10-the-right-level-of-abstraction/)

_2026-04-10 · Andrew Jones_

Hello 👋 This week I write about finding the right level of abstraction. There&rsquo;s also links to articles on the outbox pattern at scale, first 90 days as a CDO, and measuring latency. The right level of abstraction When building a (data) platform you end up thinking a lot about the abstractions you are providing, and the trade-offs they cause. On one hand, you want to abstract away some…

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_2026-04-10 · **Sponsored**_

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## [The Contract-driven Data Platform](https://andrew-jones.com/newsletter/2026-04-03-the-contract-driven-data-platform/)

_2026-04-03 · Andrew Jones_

Hey 👋 This week I introduce the contract-driven data platform, and link to an in-depth post I wrote for Modern Data 101. There&rsquo;s also links to articles on the AI wave, the relevance of business models to data, and a self-improving Text-to-SQL engine. If you have some time off over Easter I hope you have a great time 🐰🥚 The Contract-driven Data Platform Traditional data platforms are a mix…

## [The data reliability question you're avoiding](https://andrew-jones.com/newsletter/2026-03-27-the-data-reliability-question-you-re-avoiding/)

_2026-03-27 · Andrew Jones_

Hello again 👋 This week I write about the data reliability question you&rsquo;re avoiding, and whether you are making the right trade-offs. There&rsquo;s also links to articles on relating rigour, how your pipeline might succeed but your data did not, and how decisions are really made. Finally, last call for the early bird pricing for my in-person Implementing a Data Mesh with Data Contracts…

## [What does it mean to take responsibility?](https://andrew-jones.com/newsletter/2026-03-20-what-does-it-mean-to-take-responsibility/)

_2026-03-20 · Andrew Jones_

Hey! Hope you had a good week :) Today I write about what it actually means to take responsibility for data. There&rsquo;s also links to articles on DucbDB transpilation to reduce warehouse costs, ontologies on Snowflake, and observability becoming a bottleneck. Finally a reminder: Early bird pricing on my only in-person data contracts course this year ends at the end of the month. Do join me in…

## [3 common data assumptions worth challenging](https://andrew-jones.com/newsletter/2026-03-13-3-common-data-assumptions-worth-challenging/)

_2026-03-13 · Andrew Jones_

Hello 👋 This week I propose some common data assumptions that I think are worth challenging. There&rsquo;s also links to articles on data platforms not being a destination, ORKs for data platform prioritisation, and query federation. Also, early bird pricing on my only in-person course this year ends at the end of the month. Do join me in Antwerp! . 3 common data assumptions worth challenging I…

## [The bystander effect on data ownership and responsibility](https://andrew-jones.com/newsletter/2026-02-27-the-bystander-effect-on-data-ownership-and-responsibility/)

_2026-02-27 · Andrew Jones_

Hey friends 👋 Today I write about the bystander effect that happens when ownership and responsibility is unclear. There&rsquo;s also links to a data contract-driven data mesh, why data engineers should care about knowledge graphs, and support for graphs in BigQuery. The bystander effect on data ownership and responsibility The bystander effect is a social phenomenon where individuals are less…

## [What 'Contract' really means in Data Contracts](https://andrew-jones.com/newsletter/2026-02-20-what-contract-really-means-in-data-contracts/)

_2026-02-20 · Andrew Jones_

Hey! Hope you&rsquo;re well :) Today I write about what &lsquo;contract&rsquo; really means in data contracts (hint: it&rsquo;s interfaces!). There&rsquo;s also links to articles on ontologies, why data pipelines exist, and how data quality is always an ownership problem. Also, early bird pricing for Data Mesh Live , where I am speaking and also running my only workshop this year , ends on 28th…

## [The case for intentional friction in data platforms](https://andrew-jones.com/newsletter/2026-02-13-the-case-for-intentional-friction-in-data-platforms/)

_2026-02-13 · Andrew Jones_

Hello again! This week I write about how the intentional application of friction in the data platform can guide user behaviour. There&rsquo;s also links to a correct-by-design lakehouse, a state of data engineering survey, and anomaly detection at Doordash. Also a quick reminder, my only in-person workshop this year is happening in June in Belgium. Do join us! The case for intentional friction in…

## [What happens when a data contract is breached?](https://andrew-jones.com/newsletter/2026-02-06-what-happens-when-a-data-contract-is-breached/)

_2026-02-06 · Andrew Jones_

Hello 👋 This week I write about what happens when a data contract is &ldquo;breached&rdquo;, since that is a common question I get asked (although data contracts are not only about enforcement!). There&rsquo;s also links to articles on the next data bottleneck, barefoot data platforms, and Clickhouse + Postgres. Finally, a spicy pun. What happens when a data contract is breached? Data contracts…

## [The impact of AI-assisted code on your data platform](https://andrew-jones.com/newsletter/2026-01-30-the-impact-of-ai-assisted-code-on-your-data-platform/)

_2026-01-30 · Andrew Jones_

Hey, hope you had a good week! In this week&rsquo;s newsletter I write about the impact of AI-assisted code on your data platform, and how it moves the bottleneck. There&rsquo;s also links to articles on how most teams are not building governance, going from data engineering to knowledge engineering, and the case for agent contracts. And finally, a colourful pun. Enjoy! The impact of AI-assisted…

## [Integration vs Interoperability](https://andrew-jones.com/newsletter/2026-01-23-integration-vs-interoperability/)

_2026-01-23 · Andrew Jones_

Hello 👋 This week I&rsquo;m writing/thinking out loud about integration vs interoperability, and whether we really need to centralise everything in a data warehouse before we can make use of data. There&rsquo;s also links to articles on the foundation for context graphs, operationalising data science, and small data. Integration vs Interoperability In any organisation of size there will be many…

## [Reversing Conway's law](https://andrew-jones.com/newsletter/2026-01-16-reversing-conway-s-law/)

_2026-01-16 · Andrew Jones_

Hello 👋 hope you had good week! Once again I&rsquo;ll be running my in-person workshop, Implementing a Data Mesh with Data Contracts , in June in Belgium alongside Data Mesh Live . It will likely be the only in-person workshop I run this year. Do join us if you can! Hit reply if you have any questions :) Now, on to the newsletter, and today I&rsquo;m writing about reversing Conway&rsquo;s law to…

## [A feature of architecture](https://andrew-jones.com/newsletter/2026-01-09-a-feature-of-architecture/)

_2026-01-09 · Andrew Jones_

Happy new year! If you had a break I hope it was a good one :) Today I&rsquo;m writing about features of architecture, and the impact they have on processes and ways of working. Also links to articles on orchestration success in decentralised architectures, data modelling for private markets, and unifying batch and streaming. A feature of architecture The process we have and the way we work…

## [5 data contract implementations in the wild](https://andrew-jones.com/newsletter/2025-12-19-5-data-contract-implementations-in-the-wild/)

_2025-12-19 · Andrew Jones_

Hello for the last time in 2025! Today I&rsquo;m sharing 5 examples of data contracts in practice. Also links to articles on the latest release of ODCS, the unavoidable movement of data, and being a Staff+ engineer in infra/platform teams. Thanks for reading this year, and I&rsquo;ll see you in the next one! 5 data contract implementations in the wild Because many companies make it difficult to…

## [Reducing the difficulty of being a data owner](https://andrew-jones.com/newsletter/2025-12-12-reducing-the-difficulty-of-being-a-data-owner/)

_2025-12-12 · Andrew Jones_

Hey friends 👋 This week I write about reducing the difficulty of being a data owner. Also links to articles on data contracts at VMO2, metadata as common language, and BlaBlaCars data copilot. Finally, a snowman pun. Enjoy! Reducing the difficulty of being a data owner It&rsquo;s often difficult to find someone who wants to own data. That&rsquo;s because it&rsquo;s difficult to be a data owner.…

## [Pushing on open doors](https://andrew-jones.com/newsletter/2025-12-05-pushing-on-open-doors/)

_2025-12-05 · Andrew Jones_

Hey, hope you&rsquo;ve had a good week :) Today I&rsquo;m writing about pushing on open doors when getting started with data contracts. Also links to articles on the ownership of data quality, the basics of data architecture, and OTel with lakehouses. Also, on Monday I&rsquo;ll be live on LinkedIn / Substack / YouTube talking about Driving Data Quality with Data Contracts: What Data & AI PMs…

## [The iPhone model for integrated platforms](https://andrew-jones.com/newsletter/2025-11-21-the-iphone-model-for-integrated-platforms/)

_2025-11-21 · Andrew Jones_

Hey friends 👋 This week I write about how we can use the iPhone model to create integrated developer, data, and other platform features, and the change in internal developer platforms that need to make this happen. Also links to articles on data as code, data platforms for data scientists, and stream and batch analytics with Iceberg. The iPhone model for integrated platforms One of the problems…

## [Control vs Consequences](https://andrew-jones.com/newsletter/2025-11-14-control-vs-consequences/)

_2025-11-14 · Andrew Jones_

Hello 👋 This week I write about how taking control makes you a bottleneck. Also links to articles on a decade of AI platform, context layers, and a scope creep game. Finally, if you&rsquo;re in London next week join me as I present at the London Platform User Group (LOPUG) meetup on contract-driven data platforms. I&rsquo;m particularly looking forward to this talk as it&rsquo;s for platform…

## [The internal cost of data quality issues](https://andrew-jones.com/newsletter/2025-10-31-the-internal-cost-of-data-quality-issues/)

_2025-10-31 · Andrew Jones_

Happy Halloween, if that&rsquo;s your thing! Today I write about the internal cost of data quality issues - the costs to your team. Also links to articles on why you&rsquo;ll never have a FAANG data infrastructure, handling multiple data platforms, and the dbt blues. The internal cost of data quality issues Data teams often spend a lot of time articulating the cost of poor data quality to the…

## [Keeping data contracts simple](https://andrew-jones.com/newsletter/2025-10-24-keeping-data-contracts-simple/)

_2025-10-24 · Andrew Jones_

Happy Friday! In this weeks newsletter I write about keeping data contracts for your users simple even as you add more capabilities. Also links to articles on implementing data contacts, data platforms as a product, and watermarks when streaming. Keeping data contracts simple Data contracts can power a number of platform capabilities, including change management, data quality checks, data…

## [Source-aligned data products, or output ports on the source?](https://andrew-jones.com/newsletter/2025-10-17-source-aligned-data-products-or-output-ports-on-the-source/)

_2025-10-17 · Andrew Jones_

Hello 👋 This week I write about source-aligned data products and whether they really solve the problems we had, or if instead we need a more suitable output port on the source system. Also links to articles on scaling data platform teams, the automation paradox in data governance, and the minimalist data contract. Source-aligned data products, or output ports on the source? When it comes to…

