Introduction to Apache Spark (PySpark) Q & A: Day 8 Live Session Review

Apache Spark
Apache Spark is a lightning-fast cluster computing technology, designed for fast computation. It is based on Hadoop MapReduce and it extends the MapReduce model to efficiently use it for more types of computations, which includes interactive queries and stream processing. The main feature of Spark is its in-memory cluster computing that increases the processing speed of an application.

PySpark is a Python API to support Python with Apache Spark. PySpark provides the Py4j library, with the help of this library, Python can be easily integrated with Apache Spark. PySpark plays an essential role when it needs to work with a vast dataset or analyze them.

To know more about these NumPy and Pandas covered in our Day 8 session check my blog at:

Join our Free Class to know more about it.

Free Class Python


Share This Post with Your Friends over Social Media!

About the Author Atul Kumar

Oracle ACE, Author, Speaker and Founder of K21 Technologies & K21 Academy : Specialising in Design, Implement, and Trainings.

follow me on: