Cloud Computing
50 Hours of Big Data PySpark AWS Scala and Scraping Online Course
The 50 Hours of Big Data PySpark AWS Scala and Scraping course is designed to provide learners with practical, hands-on experience working with modern big data technologies and large-scale data processing workflows.
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Included with Skilldacity Membership
About This Course
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The 50 Hours of Big Data PySpark AWS Scala and Scraping course is designed to provide learners with practical, hands-on experience working with modern big data technologies and large-scale data processing workflows. This course introduces the foundational concepts and tools used by today’s data engineers, data analysts, and AI-driven organizations to collect, process, analyze, and manage massive datasets efficiently. This course emphasizes practical application, workflow integration, and enterprise-relevant data skills that align with today’s rapidly evolving technology landscape.
What You’ll Learn
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- Understand core Big Data concepts and distributed data processing principles
- Work with Apache Spark and PySpark for scalable data analysis
- Build and manipulate DataFrames using PySpark
- Perform data transformations, filtering, aggregation, and processing tasks
- Learn Scala fundamentals used in Spark environments
- Understand how Big Data technologies integrate into enterprise ecosystems
- Explore AWS cloud services commonly used for Big Data workloads
- Work with cloud storage and data processing concepts within AWS
- Learn web scraping techniques for collecting online data sources
- Automate data extraction and processing workflows
- Understand data pipeline architecture and workflow optimization
- Gain exposure to structured and unstructured data handling
- Learn best practices for scalable data engineering and analytics
Skills You’ll Gain
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Career Path
Cloud Computing
Provider
Vendor Reference
Level
Intermediate
Certification
Certification Reference
Access
Included with eligible Skilldacity subscription
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