AndrejaCH/Movies-ETL
For this project I am creating an ETL (Extract, Transform, and Load) pipeline using Python, RegEx, and SQL Database. The goal is to retrieve data from different sources, clean and transform it into a useful format and finally load the data into an SQL database where the data is ready for further analysis. The result is an established automated pipeline and a clean data set stored in an SQL database.
Jupyter Notebook
Stargazers
- aimanarifaminnudin
- akglearn
- AnthonyLe632
- Arnab-HellKolkata, India
- Ashwagandha-coderSber
- behnamnkpOdyssey Logistics & Technology
- Behordeun@Prince-Analyst @Stata-Insight-Technologies @data-science-nigeria
- bfraz33RDS/DSI
- Blurdroidno company
- canahmetcaner@Spaceport-Project
- ccpalaci
- dainlinda
- Damoxylagos
- DayangchiiManila, Philippines
- gulshand14
- KogulanNatarajan
- lapi0303
- Mariam-Siradze
- MinaBasemArab Academy for Science, Technology and Maritime Transport
- MojoCreator@mojocreator
- ndleahGlamCorner
- NhaPhuowng
- teju163dst
- wonderakwei