Skip to content

End-to-end data engineering process using Databricks, AWS S3, PySpark, Delta Lake, Python, MongoDB, Power BI

Notifications You must be signed in to change notification settings

jamilvilela/databricks-stocks-analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

databricks-stocks-analysis

End-to-end data engineering process using Databricks, AWS S3, PySpark, Delta Lake, Python, MongoDB, Power BI

This project get data from source systems:

  • Yahoo Finance API - Stocks data
  • USA Federal Reserve Interest tax rate
  • Brazil Central Bank Interest tax rate
  • MongoDB database - App Stocks Portfolio

Logo

Data model

Logo

Databricks Visualization dashboard

Logo

Databricks Repos integrated to Github

Logo

Databricks Workflow

Logo

AWS S3 bucket

Logo

AWS S3 bucket growth

Logo

About

End-to-end data engineering process using Databricks, AWS S3, PySpark, Delta Lake, Python, MongoDB, Power BI

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages