Wabbitemu VS Apache Flink

Yes, I use the wabbitemu emulator to test the code locally. The most important thing about that is that I don't have to remove the batteries to reset the calculator if I have an error that bricks it. I have dumped the rom from my own calculator though, so given that the emulator is accurate, I should be observing the exact same behaviour as on my physical calculator. Source: over 1 year ago

When I was in school we used wabbitemu as a literal TI-84 emulator. Just download the official ROM from TI’s website lmao. Source: over 1 year ago

Http://wabbitemu.org/ The app is free and available for both Android and Windows. Source: over 2 years ago

Not the same, but you CAN emulate pretty much any TI calculator through wabbitemu. Source: over 2 years ago

I am really surprised noone mentioned http://wabbitemu.org/. Source: over 2 years ago

Data scientists often prefer Python for its simplicity and powerful libraries like Pandas or SciPy. However, many real-time data processing tools are Java-based. Take the example of Kafka, Flink, or Spark streaming. While these tools have their Python API/wrapper libraries, they introduce increased latency, and data scientists need to manage dependencies for both Python and JVM environments. For example,... - Source: dev.to / 26 days ago

Other stream processing engines (such as Flink and Spark Streaming) provide SQL interfaces too, but the key difference is a streaming database has its storage. Stream processing engines require a dedicated database to store input and output data. On the other hand, streaming databases utilize cloud-native storage to maintain materialized views and states, allowing data replication and independent storage scaling. - Source: dev.to / 3 months ago

Also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc. - Source: dev.to / 5 months ago

Apache SeaTunnel is a data integration platform that offers the three pillars of data pipelines: sources, transforms, and sinks. It offers an abstract API over three possible engines: the Zeta engine from SeaTunnel or a wrapper around Apache Spark or Apache Flink. Be careful, as each engine comes with its own set of features. - Source: dev.to / 5 months ago

Due to the technology transformation we want to do recently, we started to investigate Apache Iceberg. In addition, the data processing engine we use in house is Apache Flink, so it's only fair to look for an experimental environment that integrates Flink and Iceberg. - Source: dev.to / 5 months ago