Scala & Spark-Master Big Data with Scala and Spark - Spark Ecosystem

The video provides an overview of the Spark ecosystem, detailing its core APIs and various modules. It covers the languages supported by Spark, including Java, Scala, Python, and R. The video explains the functionalities of Spark SQL for data transformation, Spark Streaming for handling real-time data, Spark MLlib for machine learning, and Spark GraphX for graph processing. The session concludes with a preview of the next video, which will involve hands-on practice with Spark.

Which language was Spark originally written in?

• Java

• R

• Python

• Scala

What is the primary function of Spark SQL?

• To perform machine learning tasks

• To visualize data as graphs

• To handle streaming data

• To transform data files into SQL tables

What feature of Spark allows it to process streaming data?

• Spark GraphX

• Spark Streaming

• Spark Core

• Spark SQL

Which Spark module is used for machine learning tasks?

• Spark GraphX

• Spark SQL

• Spark MLlib

• Spark Streaming

What is the purpose of Spark GraphX?

• To process machine learning algorithms

• To visualize data as graphs

• To perform SQL queries

• To handle streaming data