Udemy
Certificate
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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.
C
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
$19.99
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