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:

⏳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:

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: #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: #OpenSource #Community

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: #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: #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.

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: Hope the OSS community can come together to build a transparent solution.

@twarko @OReillyMedia I have always maintained how great and foundational your contributions were to Aurelius, TinkerPop, and the graph ecosystem in general. I have no interest in changing that, @twarko . And let me know if you are interested in reviewing the whole book - that would be phenomenal.

@twarko @OReillyMedia Hey @twarko, thanks for spotting this typo. We'll fix it in the review process. I didn't write the bio but it is 100% my fault for not spotting this. Sorry for making you feel angry about it. Please apply Hanlon's razor to this one.

@twarko @davidgreco @FunnelFiasco @DataStax @twarko created Faunus (graph analytics for Titan) and most marketing for Titan. So he rightfully deserves a lot of credit as well. Not taking funding gives more flexibility in business model evolution: we made Titan a component of a much larger database platform by acquisition

RT @DeniseKGosnell: 📢 #GraphNews! 👇 @MBroecheler and I have been working on something for you: The Practitioners Guide to Graph Data 🔖 D…

How to get the most value out of attending #DataStaxAccelerate, the largest #ApacheCassandra conference, based on my experience:

RT @spmallette: I really enjoy the lore of the TinkerPop multiiverse. Using Gremlin, his machine friends and their TinkerPop unreality to e…

RT @lagergren: