⚡
PYSPARK
PySpark for Data Engineers
Spark architecture, DataFrame transformations, joins, window functions, UDFs, performance tuning, and production patterns.
9 in-depth tutorials
PySpark foundations: SparkSession, imports, configuration, and your first DataFrame.
Spark architecture: driver, executors, DAG, stages, and Python vs PySpark.
PySpark joins: inner, left, anti, semi, cross, and self-joins with Databricks examples.
DataFrame transformations cookbook: select, filter, groupBy, agg, and column operations.
In-depth tutorial covering lazy evaluation in pyspark.
In-depth tutorial covering pyspark window functions.
07PySpark Data Cleaning & Validation
In-depth tutorial covering pyspark data cleaning & validation.
08PySpark UDFs & Higher-Order Functions
In-depth tutorial covering pyspark udfs & higher-order functions.
09PySpark Reading from APIs & Databases
In-depth tutorial covering pyspark reading from apis & databases.