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Apache Spark with Scala - Hands On with Big Data!

About this course

The course walks through Apache Spark using the Scala language, covering core concepts like RDDs, DataFrames, and Spark SQL with the latest Spark 3 features. It emphasizes practical, hands‑on exercises that let you process and analyze real datasets on your own machine. Additionally, it shows how to run Spark jobs on cloud platforms, giving you experience with cloud‑based big‑data workflows.

55/100

CourseAsk score

What the provider tells you: 31/45
Who stands behind it: 8/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

Understand Spark architecture and its components
Write Scala code to create and manipulate RDDs and DataFrames
Perform data cleaning, transformation, and analysis using Spark SQL
Deploy Spark applications on cloud services such as AWS or Azure
Build end‑to‑end data pipelines for large‑scale data processing

Course objectives

Set up a Scala development environment for Spark
Implement common data‑processing tasks with Spark APIs
Learn to configure and run Spark jobs in cloud environments

Data Analysis Cloud Computing #apache spark #big data #cloud computing #data analysis #dataframes #structured streaming #scala #intellij #resilient distributed datasets #amazon elastic mapreduce #spark sql #rdd #distributed computing #aws emr #azure databricks #data pipelines #spark streaming

Discounted on Udemy

List price $19.99. Udemy runs frequent sales, so the checkout price is usually far lower. We do not receive the live sale price, so we do not guess it — open the course to see today's.

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