Apache Spark Terminologies and Concepts You Must Know

Stay updated with latest technology trends
Join DataFlair on Telegram!!

1. Objective

Here you will learn some of the important Apache Spark Terminologies and Apache Spark Key terms that are being used in the Spark industry. It will help you in learning what is Apache Spark, what does spark engine do, partition in Apache Spark, what does MLlib do, worker node in Spark, Spark SQL and Pair RDD definition, what is lazy evaluation in Spark, Spark Driver and Action in Spark.

Apache Spark Terminologies and Concepts You Must Know

Apache Spark Terminologies and Concepts You Must Know

2. Introduction to Apache Spark Terminologies

Before we start with testing the knowledge, let us revise our Spark key concepts and understand how Apache Spark is better than Hadoop MapReduce in terms of usage and performance.
Now here you go!!!!
under construction

Did we exceed your expectations?
If Yes, share your valuable feedback on Google | Facebook

Leave a Reply

Your email address will not be published. Required fields are marked *

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.