(CH2-E4) PySpark Launch, Jupyter Integration, Docker & Databricks

(BEGINNER) The Complete Apache Spark Masterclass - Chapter 2 - Spark Fundamentals: Setup, Shells, and IDEs - EPISODE 04 - PySpark Launch, Jupyter Integration, Docker & Databricks

Quiz (link) - https://certcloudprojects.com/home/co...
Interview Questions (link) - https://certcloudprojects.com/home/co...
Installation Guide - https://certcloudprojects.com/home/co...

(BEGINNER) The Complete Apache Spark Masterclass Playlist -    • (BEGINNER) The Complete Apache Spark Maste...  

COMPLETE COURSE EPISODE LINKS - https://tinyurl.com/spark-masterclass...

You:
Created a free Databricks Community Edition account.
Spun up a pyspark_env cluster with (Scala 2.12, Spark 3.5.0).
Uploaded a CSV and created a table via the UI.
Queried it in a PySpark notebook and printed the results.
installed extensions, ran pip install pyspark, opened a notebook, selected a kernel, and adjusted a file path.
You’re officially set to build and run PySpark code in both environments.