A data engineering team is building a new processing pipeline to handle terabytes of data using Apache Spark. They require a language that is the native language of the Spark framework, runs on the Java Virtual Machine (JVM) for high performance, and supports both functional and object-oriented programming paradigms. Which of the following programming languages is most suitable for this project?
The correct answer is Scala. Apache Spark is written in Scala, making it the framework's native language. This native integration provides access to the latest Spark features and often yields the best performance. Scala runs on the Java Virtual Machine (JVM), which is known for its high performance and scalability in large, distributed systems. It is also a hybrid functional and object-oriented language, a paradigm that aligns well with Spark's data processing model.
Python is a very popular language for data analysis and is widely used with Spark through the PySpark API, but it is not the native language of the framework.
R is a language for statistical computing that can interface with Spark through packages like SparkR, but it is not the primary language for building large-scale Spark applications.
SQL is a query language used within Spark via the Spark SQL module to interact with structured data, but it is not a general-purpose programming language for building the underlying data processing applications.
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