| Channel | Publish Date | Thumbnail & View Count | Download Video |
|---|---|---|---|
 | Publish Date not found |  0 Views |
End-to-End Databricks project with PySpark and Spark SQL
Welcome to our comprehensive guide on how to build a complete Databricks project using PySpark and Spark SQL! In this video, we’ll walk you through the entire process. Whether you’re a data engineer, data scientist, or just passionate about big data, this tutorial will give you the skills you need to use Databricks for scalable data processing and analytics.
Problem statement
The objective of this project is to analyze the Adidas sales database for the year 2020 and 2021 using databricks and identify key insights to improve sales performance and optimize business strategies. By analyzing the sales data, we aim to understand factors that influence sales, identify trends and discover growth opportunities. The analysis is performed using Excel to provide an interactive and insightful dashboard.
Want more videos like this? Please like, comment, share and subscribe.
️Like, share and comment ️
️ Like Aim for 5000 likes!
data set
https://drive.google.com/file/d/1ux-pXVsCBw-bdssGJI-wyAeUNPjJ9OPz/view?usp=drive_link
AWS DATA ENGINEER: https://www.youtube.com/playlist?list=PLOlK8ytA0MghpdMjb0m9zu1v9s_qbRP0q
Azure Data Factory:
https://youtube.com/playlist?list=PLOlK8ytA0MgguN5XidtQXbILxwCdJCUJE&si=iEICXHP80zGchUYh
Azure Data Engineer Playlist: https://youtube.com/playlist?list=PLOlK8ytA0MghBrzu0i6WlTBdoO1WdwV_e
SQL PLAYLIST: https://www.youtube.com/playlist?list=PLOlK8ytA0MggGXIKmbfZ-_Xqcos3JKdV-
PYSPARK PLAYLIST –
https://www.youtube.com/playlist?list=PLOlK8ytA0MgjvOpd-088NRU_vTYw_aryH
Want to contact me? Check out these links:
Join Telegram to discuss https://t.me/+Cb98j1_fnZs3OTA1
What we covered in this video:
Adidas Sales Data Analysis
The aim of this project is to analyze the Adidas sales database for the years 2020 and 2021 and identify key insights to improve sales performance and optimize business strategies.
By analyzing sales data, we aim to understand factors that influence sales, identify trends, and discover growth opportunities. The analysis is performed using databricks Notebook to provide an interactive and insightful dashboard.
Requirements for business statistics
1. Total revenue, total profit, average unit price and total units sold
2. Total turnover per month
3. Total sales by state
4. Total turnover by region
5. Total sales per product
6. Total turnover per retailer
7. Units sold by product category and gender type
8. Cities with the best performance based on profit
I hope you enjoyed this video and learned something new 🙂
See you in the next video, see you then! Bye-bye!
keywords:
databricks, databricks project, azure databricks, what is databricks, databricks pyspark project, pyspark databricks project, azure data engineering project, databricks project from start to finish, databricks tutorial, azure databricks tutorial, databricks azure, databricks tutorial for beginners, databricks vs snowflake, pyspark project, databricks demo, databricks project, databricks project ideas, azure databricks project, databricks from start to finish, data engineering project
Please feel free to share this video with your friends and family if you found it useful.
