Udemy – Learning Apache Spark | Master Spark for Big Data Processing 2024-10

Published on: 2024-11-14 11:05:08

Categories: 28

Description

Learning Apache Spark course Master Spark for Big Data Processing. This course teaches you how to work with large amounts of data using Python and Apache Spark. We start with basic topics and go to advanced projects and machine learning. Whether you’re new to Python or already familiar with Python, this course will teach you step-by-step how to process and analyze big data. By the end of this course, you’ll have a solid foundation in Spark and be ready to tackle real-world data challenges.

What you will learn

Working with DataFrames in PySpark: Learn how to organize and work with data.
Efficient data storage: Use formats like Parquet to store data quickly.
Using SQL in PySpark: Work with data using SQL, just like a DataFrame.
Connecting PySpark to Python tools: Delve deep into data with Python data tools.
Machine Learning with MLlib in PySpark: Work on big projects using machine learning.
Real-world examples: Learn with practical examples.
Working with Big Data Sets: Learn how to handle big data easily.
Solve real-world problems: Apply Spark to real-world data challenges.
Gain confidence in PySpark: Get better at processing big data.
Data management and analysis: gain skills for work and personal projects.
Preparing for data careers: Build skills for careers in technology, finance, and healthcare.

This course is suitable for people who

IT professionals interested in big data and analytics
Future data scientists
Future data analysts
Future machine learning engineers
Business analysts
Software engineers
Students and academics
Researchers
Anyone interested in big data

Details of the Learning Apache Spark course Master Spark for Big Data Processing

Publisher: Udemy
Instructor: VCloudMate Solutions
Training level: beginner to advanced
Training duration: 7 hours and 11 minutes
Number of courses: 88

Course headings

Prerequisites of the Learning Apache Spark course Master Spark for Big Data Processing

You should know how to write and run Python code
Basic understanding of Python syntax and concepts is necessary
Understanding SQL (Structured Query Language) is important
You should know how to create and manage tables, transform data, and run queries