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Databases & Data EngineeringUdemy2024-5 Edition100% Free Video Course

Master Apache Spark using Spark SQL and PySpark 3

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.

3.0
(3 reviews)
78.1 Hours On-Demand
Created by Senior Industry Specialist
Uploaded Sep 2026
English
Master Apache Spark using Spark SQL and PySpark 3
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Free$129.99100% Free

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Course Features:
78.1 hours on-demand video
346 complete lectures
1 downloadable project zip file(s)
Streamable on mobile, tablet & desktop
Self-paced curriculum with progress tracking
Direct MP4 downloads & offline video access
Verified course archives hosted on cloud infrastructure.

What You'll Master in this Course

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 Curriculum346 Lectures

25 sections • 78.1 hours total length

Prefer offline learning? Download all 346 video lectures and project files for free.
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Requirements

  • Basic enthusiasm to learn and follow along with lessons
  • A computer or mobile device with a modern internet connection

Description

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.

Instructor

S

Senior Industry Specialist

Specialist in Databases & Data Engineering

Passionate educator focused on real-world practical skills, modern frameworks, and production-ready engineering practices. Delivering step-by-step masterclasses accessible to learners globally on MJ Accedemy.

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