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 AM 提供2021年1月29日
It would have been better if more foundations of Spark framework had been provided
由 DM 提供2020年11月14日
Best guided project for an introduction to the PySpark
由 VB 提供2021年12月10日
quick start for a newbie with most basic information covered here, worth it.
由 SA 提供2020年8月20日
Ok, but needs a longer explanation of the functions that are used and its range of possibilites.