Data is everywhere and most company’s have systems to store and analyze data. However there will always be additional contex that can be provided when applying external data, this is especially the case with Data Analysis. With cities such as Austin having robust databases with a plethora of public datasets (some updated daily), I feel a great data engineering tool would be one that streamlines API requests. A simple application that can be quicly ran and automate the querying(get request) of data, formating, and saving can save anyone working with public databases time.
You May Also Enjoy
Snowflake Virtual Warehouse Scaling
3 minute read
Analyzing query performance with Snowflake warehouses.
Python With Google Cloud
1 minute read
Migrating SQLite database to PostgreSQL for enhanced Data Management
Database Normalization
3 minute read
Modeling data to reduce redundancy and provide scalabilty for reporting
Creating Python Package
less than 1 minute read
Creating Python Package