About the PySpark Test
This examination evaluates a person's capability to utilize PySpark and manipulate RDDs using Python. PySpark provides the PySpark Shell, which connects the Python API to the Spark core and starts the Spark context.
Today, Python is favored by most data scientists and analytics professionals due to its extensive libraries, making the combination with Spark especially advantageous. Apache Spark includes its own cluster manager to host applications, while relying on Apache Hadoop for both storage and processing needs. It employs HDFS (Hadoop Distributed File System) for data storage and is compatible with running Spark applications on YARN.
Relevant for
- Data Engineer
- Senior Data Scientist