bigData: java’s strengths #^python

Although a lot of specialists argue in favor of Python, Java is also required for data analytics.

I-banks actually prefer java for building enterprise systems. Many Big Data systems are developed in Java or created to run on JVM. The stack may include the following tools:

  1. Spark is used to stream data and distribute batch.
  2. Kafka – to queue huge volumes of information.
  3. Spring Boot – to provide system’s options to the customers via REST API.

data vs information — I feel for high volume, high reliability, low-level “data” handling, java (and C++) are more suitable. For high-level “information” analysis, python and R are more suitable. However, in reality m /feel/ might be wrong. Python might have big frameworks comparable to java’s.

 

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