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Big Data and Web Scraping with PySpark, AWS, and Scala

Big Data and Web Scraping with PySpark, AWS, and Scala

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Big Data and Web Scraping with PySpark, AWS, and Scala Exam

The Big Data and Web Scraping with PySpark, AWS, and Scala certification assesses learners to work with massive datasets by combining modern technologies. Web scraping is used to pull data from various websites, while PySpark and Scala help process that information quickly and in parallel. Using AWS cloud services, professionals can store and scale this data easily without worrying about physical infrastructure.

This integrated approach allows organizations to discover trends, make data-driven decisions, and improve efficiency. By mastering these skills, learners gain the ability to manage the full journey of data — from extraction to analysis — and use it to solve real-world business challenges.
 

Who should take the Exam?

This exam is ideal for:

  • Data Engineers
  • Big Data Developers
  • Data Analysts
  • Cloud Engineers
  • Machine Learning Engineers
  • Research Analysts
  • Software Developers interested in data

Skills Required

  • Basic programming knowledge (Python, Scala, or Java)
  • Understanding of databases
  • Logical thinking and problem-solving
  • Knowledge of cloud concepts (preferred)


Course Outline

  • Domain 1 - Introduction to Big Data
  • Domain 2 - Web Scraping Fundamentals
  • Domain 3 - Getting Started with PySpark
  • Domain 4 - Scala for Big Data
  • Domain 5 - Data Processing with PySpark and Scala
  • Domain 6 - AWS for Big Data
  • Domain 7 - Big Data Analytics and Visualization
  • Domain 8 - Security and Best Practices

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Big Data and Web Scraping with PySpark, AWS, and Scala FAQs

It is for data professionals, developers, and anyone interested in Big Data and cloud-based data processing.

No, but learning Scala provides a strong advantage when working with Spark.

AWS provides the cloud infrastructure to store, process, and scale data solutions.

It’s recommended for those with some technical background in programming and data.

Finance, healthcare, e-commerce, marketing, and research industries.

Yes, concepts of both batch and real-time processing are included.

Focus is on AWS, but the concepts can apply to other cloud platforms too.

For collecting product data, financial reports, competitor analysis, and research data.

Yes, basic Python knowledge is helpful, especially for web scraping and PySpark.