February 2022
Intermediate
6h 36m
English
Closed Captioning available in English, Spanish
Overview
In this 6 hr course, you will embark on a comprehensive journey to learn Spark programming using Python, tailored for beginners. From understanding Apache Spark's architecture to applying its structured API to real-world data engineering tasks, this hands-on course ensures you gain the practical knowledge to work with large-scale data.
What I will be able to do after this course
- Understand the fundamentals of Apache Spark and its architecture.
- Learn to process data using Spark Structured API in Python.
- Gain knowledge of Spark data sources and sinks for data integration.
- Master working with DataFrames and Spark SQL for efficient data transformations.
- Build practical data engineering solutions and extend your data engineering skillset.
Course Instructor(s)
ScholarNest None is an experienced professional specializing in data engineering and big data technologies. They have a strong background in using Apache Spark for building powerful data solutions. With a passion for teaching and sharing knowledge, they adopt an example-driven, hands-on coding approach, ensuring learners grasp practical working knowledge effectively.
Who is it for?
This course is ideal for software engineers looking to delve into data engineering using Apache Spark, as well as data architects aiming to design robust, data-centric infrastructures. It is also valuable for managers and technical leaders who wish to grasp the fundamentals of Spark workflows. Prior experience with Python programming is required, but no prior knowledge of Apache Spark is necessary.
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