Data Analysis Using Pyspark
One of the important topics that every data analyst should be familiar with is the distributed data processing technologies. As a data analyst, you should be able to apply different queries to your dataset to extract useful information out of it. but what if your data is so big that working with it on your local machine is not easy to be done. That is when the distributed data processing and Spark Technology will become handy. So in this project, we are going to work with pyspark module in python and we are going to use google colab environment in order to apply some queries to the dataset we have related to lastfm website which is an online music service where users can listen to different songs. This dataset is containing two csv files listening.csv and genre.csv. Also, we will learn how we can visualize our query results using matplotlib.
由 AA 提供Jan 22, 2022
Quick and good course on pyspark for someone who is familiar with Pandas. Although some more depth can be added to the course by giving short brief on Spark and how it works.
由 AM 提供Jan 29, 2021
It would have been better if more foundations of Spark framework had been provided
由 DE 提供Nov 1, 2020
This course has help equip me with a lot of experience on data analysis and i really love it. Thank you Ahmad Varasteh.
A big thanks to Coursera for creating such a wonderful opportunity.
由 SA 提供Aug 20, 2020
Ok, but needs a longer explanation of the functions that are used and its range of possibilites.