Udemy – Apache Spark and PySpark for Data Engineering and Big Data 2024-11

Description

Apache Spark and PySpark for Data Engineering and Big Data is a course that provides knowledge and skills for efficiently managing big data processing and analytics, published by Udemy Online Academy. The course covers the fundamentals of Apache Spark, its architecture, and ecosystem, while introducing PySpark for Python-based big data manipulation. Participants will explore data engineering concepts such as data ingestion, transformation, and ETL pipelines. Hands-on sessions on working with distributed computing, RDDs, DataFrames, and SQL in Spark ensure a hands-on learning experience. Advanced topics such as Spark Streaming, Machine Learning with Spark MLlib, and Optimizing Spark Applications are also included, making it a complete package for aspiring data engineers.

Apache Spark is like a super-efficient engine for processing huge amounts of data. Think of it as a powerful tool that can handle information that would be too large for a single computer. It does this by distributing the work across a set of computers, making the entire process much faster. Key points of this course include Apache Spark fundamentals, PySpark for Python integration, distributed computing, data engineering concepts, RDDs, DataFrames, Spark SQL, Spark Streaming, MLlib, ETL pipelines, and big data processing.

What you will learn in Apache Spark and PySpark for Data Engineering and Big Data:

• Key Big Data Concepts and Evolution from Hadoop to Spark
• The Core Components and Architecture of Apache Spark, Including RDDs, DataFrames, and Datasets
• Installing and Configuring Spark in Local and Standalone Modes for Development and Testing
• Creating, Manipulating, and Optimizing DataFrames for Processing Structured Data
• Executing SQL Queries in SparkSQL
• Managing Different Data Formats
• Optimizing Spark Applications
• And…

Course specifications

Publisher: Udemy
Instructors: Uplatz Training
Language: English
Level: Introductory to Advanced
Number of Lessons: 49
Duration: 45 hours and 51 minutes

Course topics

Apache Spark and PySpark for Data Engineering and Big Data Prerequisites

Enthusiasm and determination to make your mark on the world!

Pictures

Apache Spark and PySpark for Data Engineering and Big Data introduction video

Installation guide

After Extract, watch with your favorite Player.

Subtitle: None

Quality: 720p

Download link

Download Part 1 – 4 GB
Download Part 2 – 4 GB
Download Part 3 – 4 GB
Download Part 4 – 4 GB
Download Part 5 – 1.5 GB

File password (s): www.abc.com

Size

17.5 GB