50 Hours of Big Data, PySpark, AWS, Scala, and Scraping
Big Data with Scala and Spark, PySpark and AWS, Data Scraping and Data Mining with Python, Mastering MongoDB for Beginners
Created by AI Sciences
Explore the world of big data by working with Scala, Spark, PySpark, AWS, and Python for data scraping and mining. Gain practical skills in building ETL pipelines, analyzing data, and managing NoSQL databases with MongoDB. Move from foundational concepts to hands-on projects that mirror real industry challenges.
Packt | Mar 2022 | 3272 min
What You Will Learn
You will learn by doing, moving from core concepts to hands-on mini projects that reinforce each skill. By applying what you learn to real data and practical scenarios, you'll bridge the gap between theory and practice. Quizzes and guided exercises help you check your understanding and build confidence as you progress.
Key Features
- Create ETL pipelines using Spark and AWS for efficient data processing
- Perform web scraping and data mining with Python and popular tools
- Build and manage NoSQL databases with MongoDB for scalable applications
Target Audience
This path is ideal for data scientists, machine learning practitioners, and anyone eager to work with big data technologies. If you have a basic grasp of programming, Python, SQL, and HTML, you'll be ready to dive in. Whether you're looking to automate data collection, analyze large datasets, or build scalable apps, you'll find actionable skills to advance your goals.
