https://github.com/abdallahqoutbali/data-modeling-with-apache-cassandra

Data Modeling with Apache Cassandra
https://github.com/abdallahqoutbali/data-modeling-with-apache-cassandra

apache-cassandra aws data-engineering python

Last synced: 4 months ago
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Data Modeling with Apache Cassandra

• Host: GitHub
• URL: https://github.com/abdallahqoutbali/data-modeling-with-apache-cassandra
• Owner: AbdallahQoutbAli
• Created: 2023-02-14T15:52:58.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-03-13T07:48:41.000Z (over 2 years ago)
• Last Synced: 2025-03-14T07:45:53.634Z (4 months ago)
• Topics: apache-cassandra, aws, data-engineering, python
• Language: Jupyter Notebook
• Homepage:
• Size: 851 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
 # Data-Engineer-Nanodegree-Projects-Udacity

Projects done in the [Data Engineer Nanodegree by Udacity.com](https://www.udacity.com/course/data-engineer-nanodegree--nd027)

## Course 1: Data Modeling

### Introduction to Data Modeling

- Understand the purpose of data modeling

- Identify the strengths and weaknesses of different types of databases and data storage techniques

- Create a table in Postgres and Apache Cassandra

### Relational Data Models

- Understand when to use a relational database

- Understand the difference between OLAP and OLTP databases

- Create normalized data tables

- Implement denormalized schemas (e.g. STAR, Snowflake)

### NoSQL Data Models

- Understand when to use NoSQL databases and how they differ from relational databases

- Select the appropriate primary key and clustering columns for a given use case

- Create a NoSQL database in Apache Cassandra

# Project  

#### The image below is a screenshot of what the denormalized data should appear like in the event_datafile_new.csv 

![image](https://user-images.githubusercontent.com/47276503/218794760-3c216787-ee1d-4277-97a0-bb713591ad43.png)

 

The Business Asked to made the Below Query Give me the artist, song title and song's length in the music app history 
 that was heard during sessionId = 338, and itemInSession = 




 First Create Table Table song_info And Choose only the Columns Asked To load  




![image](https://user-images.githubusercontent.com/47276503/219933894-0d5e8a93-083e-4320-93c1-ab1b5f458944.png)




Note :

For the Above Query , the session_id and Column item_session was used as a partition key because the queries will filter by them 

and used as clustering columns to help make up a unique key.

 

 
 The Below Query Load Data Inside Table Song_info  


![image](https://user-images.githubusercontent.com/47276503/218798640-3c3de9c2-7cd2-4390-8cf4-676fdb1160b2.png)

 
 SELECT to verify that the data have been inserted into each table 


![image](https://user-images.githubusercontent.com/47276503/218798817-a8c3f13a-5ffb-4934-9d36-d0186748ba5a.png)

![image](https://user-images.githubusercontent.com/47276503/224638536-06653681-04e9-4e99-842c-5a3dedb54ab8.png)

Thanks !

Email : [email protected]


 Data Engineer