Apache Apex (incubating) - is an open source enterprise grade unified stream and batch processing platform. It is used in GE Predix platform for IOT. What are the key differences between these 2 platforms?
- From a data science perspective, how is it different from Spark?
- Does Apache Apex provide functionality like Spark MLlib? If we have to built scalable ML models on Apache apex how to do it & which language to use?
- Will data scientists have to learn Java to built scalable ML models? Does it have python API like pyspark?
- Can Apache Apex be integrated with Spark and can we use Spark MLlib on top of Apex to built ML models?