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Based on our record, regular expressions 101 seems to be a lot more popular than Apache Flink. While we know about 881 links to regular expressions 101, we've tracked only 41 mentions of Apache Flink. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Continuous Learning: Leverage online tutorials from the official Flink website and attend webinars for deeper insights. - Source: dev.to / 26 days ago
Apache Flink, known initially as Stratosphere, is a distributed stream processing engine initiated by a group of researchers at TU Berlin. Since its initial release in May 2011, Flink has gained immense popularity in both academia and industry. And it is currently the most well-known streaming system globally (challenge me if you think I got it wrong!). - Source: dev.to / about 1 month ago
Apache Iceberg defines a table format that separates how data is stored from how data is queried. Any engine that implements the Iceberg integration — Spark, Flink, Trino, DuckDB, Snowflake, RisingWave — can read and/or write Iceberg data directly. - Source: dev.to / about 1 month ago
The last decade saw the rise of open-source frameworks like Apache Flink, Spark Streaming, and Apache Samza. These offered more flexibility but still demanded significant engineering muscle to run effectively at scale. Companies using them often needed specialized stream processing engineers just to manage internal state, tune performance, and handle the day-to-day operational challenges. The barrier to entry... - Source: dev.to / about 2 months ago
Apache Flink: Flink is a unified streaming and batching platform developed under the Apache Foundation. It provides support for Java API and a SQL interface. Flink boasts a large ecosystem and can seamlessly integrate with various services, including Kafka, Pulsar, HDFS, Iceberg, Hudi, and other systems. - Source: dev.to / about 2 months ago
In practice, the first unpaired ] is treated as an ordinary character (at least according to https://regex101.com/) - which does nothing to make this regex fit for its intended purpose. I'm not sure whether this is according to spec. (I think it is, though that does not really matter compared to what the implementations actually do.) Characters which are sometimes special, depending on context, are one more thing... - Source: Hacker News / about 2 months ago
> unreadable once written (to me anyway) https://regex101.com can explain your regex back to you. - Source: Hacker News / about 2 months ago
To try out our newfound regex, I will use the website called RegEx101. It's a superhero favourite, so you better bookmark it for later 🔖. - Source: dev.to / 3 months ago
Let's break it down a bit. You can use Regex101 to follow me. - Source: dev.to / 4 months ago
URL: https://regex101.com What it does: Test and debug regular expressions with instant explanations. Why it's great: Simplifies regex learning and ensures patterns work as intended. - Source: dev.to / 5 months ago
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
RegExr - RegExr.com is an online tool to learn, build, and test Regular Expressions.
Spring Framework - The Spring Framework provides a comprehensive programming and configuration model for modern Java-based enterprise applications - on any kind of deployment platform.
rubular - A ruby based regular expression editor
Amazon Kinesis - Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.
Expresso - The award-winning Expresso editor is equally suitable as a teaching tool for the beginning user of regular expressions or as a full-featured development environment for the experienced programmer with an extensive knowledge of regular expressions.