Preparing for Data Engineering interviews?
This comprehensive 13-hour course covers the most important topics asked in Data Engineering interviews, from SQL and Data Modeling to Python, Spark, and PySpark. Whether you're a beginner looking to break into data engineering or an experienced professional preparing for your next role, this course is designed to help you build a strong foundation and confidently tackle interviews.
π What You'll Learn
β
SQL Interview Questions & Problem Solving
β
Window Functions, CTEs, Joins & Query Optimization
β
Data Modeling Fundamentals
β
Star Schema & Snowflake Schema
β
Fact & Dimension Tables
β
Slowly Changing Dimensions (SCD)
β
Data Warehousing Concepts
β
Python for Data Engineers
β
Spark Fundamentals & Architecture
β
Transformations vs Actions
β
Lazy Evaluation & DAGs
β
PySpark DataFrame API
β
Joins, Aggregations & Window Functions in PySpark
β
Performance Optimization Concepts
β
Real Interview Questions & Follow-up Discussions
Timestamps:
00:00:00 Plan for next 13 hours
00:02:23 Data Engineering Courses
00:03:53 SQL For Data Engineering
03:07:25 Data Modelling and Warehousing
04:56:57 Python For Data Engineering
07:01:30 Spark Fundamentals
08:52:41 PySpark API
Zero to hero(Advance) SQL Aggregation:
All About SQL Aggregations | SQL Advance |...
Most Asked Join Based Interview Question:
Most Asked SQL JOIN based Interview Questi...
Solving 4 Trick SQL problems:
Solving 4 Tricky SQL Problems
Data Analyst Spotify Case Study:
Data Analyst Spotify Case Study | SQL Inte...
Top 10 SQL interview Questions:
Top 10 SQL interview Questions and Answers...
Interview Question based on FULL OUTER JOIN:
SQL Interview Question Based on Full Outer...
Playlist to master SQL :
Complex SQL Questions for Interview Prepar...
Rank, Dense_Rank and Row_Number:
RANK, DENSE_RANK, ROW_NUMBER SQL Analytica...
#sql #python #spark #datamodeling #dataengineering
Preparing for Data Engineering interviews?
This comprehensive 13-hour course covers the most important topics asked in Data Engineering interviews, from SQL and Data Modeling to Python, Spark, and PySpark. Whether you're a beginner looking to break into data engineering or an experienced professional preparing for your next role, this course is designed to help you build a strong foundation and confidently tackle interviews.
π What You'll Learn
β
SQL Interview Questions & Problem Solving
β
Window Functions, CTEs, Joins & Query Optimization
β
Data Modeling Fundamentals
β
Star Schema & Snowflake Schema
β
Fact & Dimension Tables
β
Slowly Changing Dimensions (SCD)
β
Data Warehousing Concepts
β
Python for Data Engineers
β
Spark Fundamentals & Architecture
β
Transformations vs Actions
β
Lazy Evaluation & DAGs
β
PySpark DataFrame API
β
Joins, Aggregations & Window Functions in PySpark
β
Performance Optimization Concepts
β
Real Interview Questions & Follow-up Discussions
Timestamps:
00:00:00 Plan for next 13 hours
00:02:23 Data Engineering Courses
00:03:53 SQL For Data Engineering
03:07:25 Data Modelling and Warehousing
04:56:57 Python For Data Engineering
07:01:30 Spark Fundamentals
08:52:41 PySpark API
Zero to hero(Advance) SQL Aggregation:
All About SQL Aggregations | SQL Advance |...
Most Asked Join Based Interview Question:
Most Asked SQL JOIN based Interview Questi...
Solving 4 Trick SQL problems:
Solving 4 Tricky SQL Problems
Data Analyst Spotify Case Study:
Data Analyst Spotify Case Study | SQL Inte...
Top 10 SQL interview Questions:
Top 10 SQL interview Questions and Answers...
Interview Question based on FULL OUTER JOIN:
SQL Interview Question Based on Full Outer...
Playlist to master SQL :
Complex SQL Questions for Interview Prepar...
Rank, Dense_Rank and Row_Number:
RANK, DENSE_RANK, ROW_NUMBER SQL Analytica...
#sql #python #spark #datamodeling #dataengineering
https://github.com/ankitbansal6/13_hours_of_data_engineering_interview_prep