Project to exemplify simple ETL techniques with Python 3 and pandas.
- Hombrew
- PostgreSQL server
brew install postgres
- Python 3
brew install python3
- Jupyter Notebook
!pip3 install psycopg2-binary- !pip3 install nltk
- nltk.download('stopwords')
- nltk.download('wordnet')
- !pip install wordcloud
- Personal Intro
- Introduction:sleeping:
- Data Crunching
- Understanding Raw Data
- Types of Data
- DBMS
- Hadoop Ecosystem 🐘
- Google Services 💰
- AWS Services
- Hands-On 🐍
- News NLP
- Twitter Stream
- Open form questions
10:00am - 1:00 pm CT (3 hours total 🕔 ).
- 10:00am - 10:45am: Content
- 10:45am - 11:00am: Break
- 11:00am - 11:45am: Content
- 11:45am - 12:00pm: Break
- 12:00pm - 12:45pm: Content