| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction & Course Overview | |||
| 1. Welcome to the Course.mp4 | 34.6 MB | ||
| 2 - Apache Spark Fundamentals | |||
| 10. Spark SQL.mp4 | 51.5 MB | ||
| 3 - Creating Your First DataFrame | |||
| 11. Creating a Spark Session.mp4 | 54.2 MB | ||
| 12. Reading Data with Spark.mp4 | 104.3 MB | ||
| 12. transactions.csv | 4.2 KB | ||
| 13. Understanding Schemas and Data Types.mp4 | 145 MB | ||
| 14. Selecting and Filtering Data.mp4 | 96.9 MB | ||
| 15. Adding and Modifying Columns.mp4 | 91.9 MB | ||
| 16. Aggregations and GroupBy.mp4 | 164.8 MB | ||
| 17. Sorting and Handling Null Values.mp4 | 87.5 MB | ||
| 18. Joins in Spark DataFrames.mp4 | 84.4 MB | ||
| 19. Writing Data with Spark.mp4 | 175.6 MB | ||
| 20. Spark SQL in Practice.mp4 | 62.7 MB | ||
| 4 - Real-World Data Engineering Project | |||
| 21. Project Description.html | 9 KB | ||
| 22. Project Overview & Business Context.mp4 | 78.4 MB | ||
| 23. Project Requirements & Pipeline Design.mp4 | 16 MB | ||
| 24. Centralized Configuration & Project Structure.mp4 | 170 MB | ||
| 25. Reading Raw Data with Explicit Schemas.mp4 | 82.9 MB | ||
| 26. Data Cleaning & Quality Rules.mp4 | 186.7 MB | ||
| 27. Logging & Data Quality Monitoring.mp4 | 107.7 MB | ||
| 28. Data Enrichment.mp4 | 123.1 MB | ||
| 29. Currency Conversion & Business Rules.mp4 | 130.8 MB | ||
| 30. Computing Business Metrics.mp4 | 100.2 MB | ||
| 31. Final Analytics & Production Readiness.mp4 | 77.4 MB | ||
| 32. Project Recap & Next Steps.mp4 | 33.5 MB | ||
| 5 - Spark Execution Model [Advanced] | |||
| 33. [OPTIONNAL] Local Setup.html | 8.2 KB | ||
| 34. Lazy Evaluation Transformations vs Actions.mp4 | 141.1 MB | ||
| 35. From Code to Execution What Is a Spark Job.mp4 | 54.7 MB | ||
| 36. Tasks How Work Is Parallelized.mp4 | 72.4 MB | ||
| 37. Stages Explained Why Shuffles Change Everything.mp4 | 109.2 MB | ||
| 38. Narrow vs Wide Transformations in Apache Spark.mp4 | 64.4 MB | ||
| 6 - Wrap-Up & Career Path | |||
| 39. What You Can Confidently Do After This Course.mp4 | 44.1 MB | ||
| 6. What Is Apache Spark.mp4 | 44 MB | ||
| 7. Spark Architecture Explained.mp4 | 44 MB | ||
| 8. SparkSession & SparkContext.mp4 | 42.4 MB | ||
| 9. Spark APIs DataFrames.mp4 | 65.3 MB | ||
| 2. Spark vs Other Tools (Pandas, SQL, etc.).mp4 | 33.8 MB | ||
| 3. Working environment and Databricks.mp4 | 31.6 MB | ||
| 4. How to Ask Questions and Get Help.html | 6.9 KB | ||
| 5. Summary & Next Steps.mp4 | 29.3 MB |
Apache Spark for Data Engineering — Hands-On with PySpark
https://WebToolTip.com
Published 2/2026
Created by Big Data Expertise
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 39 Lectures ( 3h 54m ) | Size: 3 GB
Go from beginner to building real Spark ETL pipelines using DataFrames and Spark SQL
What you'll learn
✓ Set up and work with an Apache Spark environment using PySpark to process real-world datasets.
✓ Read data from common formats such as CSV and Parquet
✓ Clean, transform and aggregate data using the Spark DataFrame API & Spark SQL
✓ Build a complete end-to-end Spark ETL pipeline
✓ Understand how Apache Spark works under the hood
Requirements
● Basic programming knowledge : You should be comfortable with basic programming concepts such as variables, functions, and loops (Python or any similar language).
● Basic Python or Scala familiarity (recommended, not mandatory) : Knowing Python or Scala basics will help you follow the examples, but Spark concepts apply to both languages.
● Basic SQL knowledge Understanding simple SQL queries (SELECT, WHERE, GROUP BY) is helpful but not required.
● A computer with internet access A standard laptop or desktop computer is enough. No special hardware is required.
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Udemy - Apache Spark 2.0 with Java -Learn Spark from a Big Data Guru Posted by
freecoursewb in Other
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| 4 GB | freecoursewb | 2 years | 2 | 0 | |
| 3.3 GB | freecoursewb | 2 years | 3 | 0 | |
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