Matthias Broecheler (@mbroecheler) 's Twitter Profile
Matthias Broecheler

@mbroecheler

Founder @DataSQRL. Database Specialist. Researcher. Technologist. Entrepreneur.

ID: 124363822

linkhttp://matthiasb.com/ calendar_today19-03-2010 04:44:59

277 Tweet

1,1K Takipçi

64 Takip Edilen

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

Contact tracing may be our best bet to move past "shelter-in-place" without exploding infections of #COVID19. Here's a prototype backend implementation that works at scale: github.com/mbroecheler/co…. Hope the OSS community can come together to build a transparent solution.

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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

I'll be hosting a graph database town hall w/ my co-author
<a href="/DeniseKGosnell/">Denise Gosnell</a>! Join us on 5/19 to learn, mingle, and have fun. Register now: dtsx.io/3dafE5K #GraphDB
Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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?

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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

Let's make it easier to build data-driven applications. <a href="/DataSQRL/">DataSQRL</a>: 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
Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

⏳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-…

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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…

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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

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
Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

🚀 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

🚀 DataSQRL 0.6 is here - The Streaming Data Framework
•Full Flink SQL compatibility
•Real-time serving for LLMs &amp; user-facing apps
•CI support

Plus bugfixes and perf improvements.
Read more 👉 docs.datasqrl.com/blog/datasqrl-…
#StreamingData #DataEngineering #OpenSource
Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

“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…

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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…

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

🚀 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

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

“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…

Matthias Broecheler (@mbroecheler) 's Twitter Profile Photo

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…