Matthias Broecheler

Just launched: Flink SQL Runner — run Flink SQL apps in prod with zero boilerplate. Key features: •SQL & compiled plan execution •Kafka DLQ support •Env var injection •UDFs, JSONB, vectors, Postgres compatibility •K8s Operator friendly 👉 github.com/datasqrl/flink…

“Batch or streaming?” is the wrong question. Most use cases live in the middle—and incremental data processing is the answer. ⚡ Fresh enough 💸 Cheaper than real-time 🧠 Simpler to operate New post: buildingwithdata.substack.com/p/batch-or-str…

Build scalable, robust, and fast data APIs with just SQL? Mutations, queries, and subscriptions. Learn more: docs.datasqrl.com/blog/flinksql-…

🚀 Building Flink apps shouldn’t feel like rocket surgery. In this video, we show how DataSQRL automates the data plumbing—so you can focus on business logic: youtube.com/watch?v=LiDefK… - Realtime analytics - Kafka + Flink + Postgres - Built-in tests & CI/CD - Developer Tooling

How to deliver value quickly in your data initiative? Practical advice for agile data development: •Show value early •Align the team •DataOps for quick iteration cycles buildingwithdata.substack.com/p/agile-data-d…

“Just get it from the data warehouse.” That phrase derails more data initiatives than bad SQL. Daily snapshots ≠ responsive data. BI pipelines ≠ product infrastructure. Don't let the data warehouse dictate your architecture. Full post 👉 buildingwithdata.substack.com/p/beware-the-d…

If ChatGPT had been invented in the 1950s, would we all be vibe-coding Assembly now?

🚀 DataSQRL 0.6 is here - The Streaming Data Framework •Full Flink SQL compatibility •Real-time serving for LLMs & user-facing apps •CI support Plus bugfixes and perf improvements. Read more 👉 docs.datasqrl.com/blog/datasqrl-… #StreamingData #DataEngineering #OpenSource

The data warehouse can accelerate your data initiative or derail it. Learn the 7 ways your warehouse helps (and hurts), and how to manage the relationship to your advantage. New Substack article 👉 buildingwithdata.substack.com/p/beware-the-d… #DataEngineering #Analytics #DataOps #BuildingWithData

Building streaming apps or event-driven microservices with #Kafka or #ApacheFlink? Then you have to decide whether to preprocess your data in stream or query it at request time. Learn how to make the right decision: datasqrl.com/blog/preproces…

⏳Temporal join is a secret superpower of stream processing engines like #ApacheFlink, allowing you to "time travel" for time-consistent joins. Learn more about temporal joins, when to use them, and why they are powerful: datasqrl.com/blog/temporal-…

Simplify your #ApacheFlink app development with #DataSQRL 🐿️! This open-source tool compiles SQL into a microservice, integrating Flink, Kafka, #Postgres & API layer. Focus on app logic, not complex tech integration. Learn more: datasqrl.com/blog/simplifyi… #streamprocessing

4/4 🐣 SQRL is still in its infancy, and we would love your feedback to shape its future. Let us know your thoughts or comment on HN: news.ycombinator.com/item?id=360475… #OpenSource #Community

3/4 🚀 #SQRL enhances #SQL with: - Nested Data: Native support for JSON-like data structures. - Relationships: Explicit relationships in SQL, simplifying joins & eliminating data mapping. - Streams: First-class support for data streams and reacting to data.

1/4 Meet #SQRL 🐿️, a high-level #data #programming language based on SQL that makes creating data-intensive applications less tedious. Code all your data logic in one file and compile it to the data systems you trust, like #Flink, #Kafka, #Postgres, ... datasqrl.com/blog/sqrl-high…

Let's make it easier to build data-driven applications. @DataSQRL: A compiler for the data layer. Read more and join us in up-leveling the database to save yourself from data plumbing and integration work: datasqrl.com/blog/lets-uple… #Database #developers

Question for ML nerds: Are Bayesian networks and Additive Noise Models still state of the art for probabilistic causal fault diagnosis? Any recent work on deep NN that outperforms those?

I'll be hosting a graph database town hall w/ my co-author @DeniseKGosnell! Join us on 5/19 to learn, mingle, and have fun. Register now: dtsx.io/3dafE5K #GraphDB

@schrepfler @neo4j @DataStax @OrientDB @arangodb @cosmosdb @IBM @JanusGraph @TheASF @dgraphlabs @fauna @Benioff @salesforce @Deloitte The code in the repo is Apache2 licensed, so it can be used in lots of ways. However, DataStax is only offering free licenses for production use of enterprise graph by authorities or affiliated organizations for this purpose.

@MBroecheler @neo4j @DataStax @OrientDB @arangodb @cosmosdb @IBM @JanusGraph @TheASF @dgraphlabs @fauna @Benioff @salesforce @Deloitte Amazing! Can it be used as part of solutions which are not OSS? Example COVID 360 (though I’m sure they would prefer building their own)?

Hey @neo4j @DataStax @OrientDB @arangodb @cosmosdb @IBM @JanusGraph @TheASF Giraph @dgraphlabs @fauna, if you can do anything like @Benioff 's/@salesforce's and @Deloitte's COVID 360 CRM for managing patients at risk, the world governments desperately need CONTACT TRACING CRM.