Platform Engineering: Enhance the developer experience, establish secure environments, automate self-service tools, and streamline workflows
The dawn of observability across the SDLC has fully disrupted standard performance monitoring and management practices. See why.
I am a passionate, experienced software development engineer and certified AWS specialist with a vast experience in different domains, including cloud computing, networking, artificial intelligence, and monitoring. Outside of work I am a big Open Source enthusiast and have made several contributions, most notably to Gatling and Apache Flink. I also enjoy writing for technical blogs such as SitePoint, DZone and my blog “Brewing Codes”.
Stats
| Reputation: | 665 |
| Pageviews: | 256.9K |
| Articles: | 4 |
| Comments: | 4 |
Core Python
Comments
Nov 12, 2018 · Sarah Davis
What "commons-math3" dependency is for? I don't think it is needed in this case.
Oct 22, 2018 · Sarah Davis
Hi Zitrone,
I believe that you should add this Maven dependency for this: https://mvnrepository.com/artifact/org.apache.flink/flink-connector-wikiedits
Oct 14, 2017 · Sarah Davis
Hi Yagiz
Thank you very much for pointing this out! The article was automatically imported from my blog and this caused the mess. I've fixed the formatting and added headers (they somehow were removed as well).
I hope you'll enjoy the article!
Sep 28, 2017 · Sarah Davis
Hi Tomasz,
Thank you for your comment!
You are right, Structured Streaming does provides a new way of writing streaming applications, but it does not address underlying differences like relying on micro-batching, higher latency, etc. Spark community also works on the Continuous Streaming (https://issues.apache.org/jira/browse/SPARK-20928) that can change it, but we will see when they will release it :)
Apache Flink also supports a features similar to Structured Streaming: https://flink.apache.org/news/2016/05/24/stream-sql.html