This Spark Starter Kit course is designed to give students a strong foundation in Spark. It covers the core fundamentals of Spark, including why it is needed, how it is faster than Hadoop, how memory is managed, and how fault tolerance works. The course also answers common questions asked by students on websites like StackOverflow and other forums. With this course, students will gain a better understanding of the foundational concepts of Spark and be able to use it more effectively.
Scala and Spark 2 - Getting Started
4.7
Udemy37,802 learners
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This course is designed to help users get started with Scala and Spark 2. It will provide a comprehensive guide to setting up a development environment to build highly scalable applications using Scala and Spark. It will also demonstrate how to develop Spark applications using IntelliJ as an IDE and Scala as a programming language. With this course, users will be able to quickly and easily set up their development environment and start exploring Scala and Spark in more detail.
PySpark Tutorial
5.0
freeCodeCamp10 learners
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This PySpark tutorial will teach you how to use Apache Spark in Python. You will learn how to use PySpark to process large datasets, create machine learning models, and use Spark's distributed computing capabilities. You will also learn how to use Spark SQL and DataFrames to query and manipulate data. By the end of the course, you will be able to use PySpark to analyze and process data quickly and efficiently.
Create Images Videos And Presentations with Adobe Spark
3.7
Udemy15,400 learners
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This course will teach students how to use Adobe Spark to create stunning images, videos, and presentations. Students will learn how to navigate the Adobe Spark platform, create photographs for social media, make videos, and create self-hosted presentations or portfolios. By the end of the course, students will have the skills to create professional-looking visuals with Adobe Spark.
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