Best Hands-on Big Data Practices with PySpark & Spark Tuning

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

A dark background featuring wooden blocks spelling BIG DATA, with white text above listing RDD, DataFrame, and Spark SQL, and yellow text below listing Semi-structured, Structured, — Preview 1 of 3
This slide outlines core PySpark components including RDD, DataFrame, and Spark SQL, alongside the handling of semi-structured, structured, and unstructured data.

A slide comparing development environments for Big Data, showing wooden blocks spelling BIG DATA between text labels for Google Colab and Ubuntu VMware. — Preview 2 of 3
This slide outlines the specific development environments used in the course, contrasting a cloud-based platform like Google Colab with a desktop setup using Ubuntu VMware.

A presentation slide introducing Amin Karami, PhD, FHEA, as a Senior Lecturer for MSc Big Data Tech and Senior Big Data Consultant based in London UK. — Preview 3 of 3
This introductory slide presents the instructor Amin Karami, highlighting his academic credentials as a Senior Lecturer and his professional experience as a Big Data Consultant.