Udemy – Master Apache Spark using Spark SQL and PySpark 3 2024-5

Udemy – Master Apache Spark using Spark SQL and PySpark 3 2024-5 Downloadly IRSpace

Apr 17, 2025 - 17:38 Updated: Apr 21, 2025 - 07:23

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Udemy – Master Apache Spark using Spark SQL and PySpark 3 2024-5

Master Apache Spark using Spark SQL and PySpark 3 is an Apache Spark software training course published by Udemy Online Academy. In this training course, you will learn about Apache Spark using Spark SQL and PySpark 3. Apache Spark is an open-source distributed computing system that provides a fast and general-purpose cluster computing framework for large-scale data processing. It was developed to overcome the limitations of the MapReduce model and is designed for ease of use, speed and versatility. Apache Spark has gained popularity due to its performance, ease of use, and flexibility in large data sets. Apache Spark software has evolved as a leading technology to take care of large-scale data engineering.

This training course has different types of exercises that help you learn the topics. In this training course, you will get to know Spark SQL and PySpark 3 and understand their basic concepts and principles. This training course requires knowledge of working with Python. For this reason, this training course has included a section for this purpose so that those of you who have no knowledge of Python can use it and acquire the necessary skills. After fully familiarizing yourself with Spark SQL, PySpark 3, and Python, you will be familiar with Apache Spark software, and with it you will be able to manage a large set of data.

What you will learn in Master Apache Spark using Spark SQL and PySpark 3:

Setting up Single Node Hadoop and Spark using Docker
Basic concepts and principles of Python
Processing data in Dataframe using Spark SQL
Apache Spark application development life cycle
And …

Course specifications

Publisher: Udemy
Instructors: Durga Viswanatha Raju Gadiraju and Naga Bhuwaneshwar
Language: English
Level: Introductory to Advanced
Number of Lessons: 346
Duration: 32 hours and 11 minutes

Course topics

Master Apache Spark using Spark SQL and PySpark 3

Master Apache Spark using Spark SQL and PySpark 3 Prerequisites

Basic programming skills using any programming language
Self support lab (Instructions provided) or ITVersity lab at additional cost for appropriate environment.
Minimum memory required based on the environment you are using with 64 bit operating system
4 GB RAM with access to proper clusters or 16 GB RAM to setup environment using Docker

Pictures

Master Apache Spark using Spark SQL and PySpark 3

Master Apache Spark using Spark SQL and PySpark 3 introduction video

Installation guide

After Extract, watch with your favorite Player.

English subtitle

Quality: 720p

The 2024/5 version has not changed in the number of lessons and duration compared to 2022/8, but it has been updated after 2 years.

Udemy – Master Apache Spark using Spark SQL and PySpark 3 2024-5