Learn how to setup the google colab for distributed data processing
Learn applying different queries to your dataset to extract useful Information
Learn how to visualize this information using matplotlib
1.5 h
中級
無需下載
分屏視頻
英語(English)
僅限桌面
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.
您要培養的技能
Google colab
Data Analysis
Python Programming
pySpark SQL
分步進行學習
在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:
Prepare the Google Colab for distributed data processing
Mounting our Google Drive into Google Colab environment
Importing first file of our Dataset (1 Gb) into pySpark dataframe
Applying some Queries to extract useful information out of our data
Importing second file of our Dataset (3 Mb) into pySpark dataframe
Joining two dataframes and prepapre it for more advanced queries
Learn visualizing our query results using matplotlib
Ok, but needs a longer explanation of the functions that are used and its range of possibilites.
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 SC 提供
2022年1月7日
This project is really good. Gives you a hands-on experience on PySpark. I was able to write complex queries on my own after a while in this project. Very useful.
由 DE 提供
2020年11月1日
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.