FREE RESOURCES TO LEARN DATA ENGINEERING
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Big Data and Hadoop Essentials free course

https://bit.ly/3rLxbul

Data Engineer: Prepare Financial Data for ML and Backtesting FREE UDEMY COURSE
[4.6 stars out of 5]

https://bit.ly/3fGRjLu

Understanding Data Engineering from Datacamp

https://clnk.in/soLY

Data Engineering Free Books

https://ia600201.us.archive.org/4/items/springer_10.1007-978-1-4419-0176-7/10.1007-978-1-4419-0176-7.pdf

https://www.darwinpricing.com/training/Data_Engineering_Cookbook.pdf

Big Data of Data Engineering Free book

https://databricks.com/wp-content/uploads/2021/10/Big-Book-of-Data-Engineering-Final.pdf

https://aimlcommunity.com/wp-content/uploads/2019/09/Data-Engineering.pdf

The Data Engineer’s Guide to Apache Spark

https://t.iss.one/datasciencefun/783?single

Data Engineering with Python

https://t.iss.one/pythondevelopersindia/343

Data Engineering Projects -

1.End-To-End From Web Scraping to Tableau  https://lnkd.in/ePMw63ge

2. Building Data Model and Writing ETL Job https://lnkd.in/eq-e3_3J

3. Data Modeling and Analysis using Semantic Web Technologies https://lnkd.in/e4A86Ypq

4. ETL Project in Azure Data Factory - https://lnkd.in/eP8huQW3

5. ETL Pipeline on AWS Cloud - https://lnkd.in/ebgNtNRR

6. Covid Data Analysis Project - https://lnkd.in/eWZ3JfKD

7. YouTube Data Analysis 
   (End-To-End Data Engineering Project) - https://lnkd.in/eYJTEKwF

8. Twitter Data Pipeline using Airflow - https://lnkd.in/eNxHHZbY

9. Sentiment analysis Twitter:
    Kafka and Spark Structured Streaming -  https://lnkd.in/esVAaqtU

ENJOY LEARNING 👍👍

PySpark Cheat Sheet

A quick reference guide to the most commonly used patterns and functions in PySpark SQL.


Creator: kevinschaich
Stars ⭐️: 273
Forked By: 95
https://github.com/kevinschaich/pyspark-cheatsheet

The Big Book of Data Engineering
Databricks, 2nd ed, 2023

Cloud Computing for Beginners
Papercut, 2022

How Git Commands Work

Git can seem confusing at first, but a few key concepts make it clearer:

There are 4 locations for your code:
- Working Directory
- Staging Area
- Local Repository
- Remote Repository (like GitHub)

Basic commands move code between these locations
- git add stages changes
- git commit saves them locally
- git push shares them remotely
- git pull fetches updates from others

Branching allows isolated development.

Concepts like git clone, merge, rebase enable collaboration.

Graphical tools like GitHub Desktop also help by providing visual interfaces and shortcuts.

While advanced workflows are possible, understanding this basic flow unlocks Git's power.

The best channel to learn about cryptocurrency and how it works
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https://t.iss.one/Bitcoin_Crypto_Web