Apache Spark is a unified analytics engine for large-scale data processing, and Scala is one of the most popular programming languages used for Spark development. As a result, the demand for professionals with expertise in Apache Spark and Scala is on the rise. In this article, we will provide a comprehensive list of Apache Spark Scala interview questions, along with detailed answers, to help you prepare for your next big data interview.
| Feature | RDD | DataFrame | Dataset[T] | | :--- | :--- | :--- | :--- | | | Functional (Java/Scala) | Relational (Row abstraction) | Type-safe (Encoders) | | Compile-time type safety | Yes | No | Yes | | Performance (Catalyst Optimizer) | No | Yes | Yes | | Serialization | Java/Kryo | Tungsten binary | Tungsten + Encoders | Apache Spark Scala Interview Questions- Shyam Mallesh