Apache Spark for Data Engineering - Hands-On with PySpark
- Category Other
- Type Tutorials
- Language English
- Total size 3.0 GB
- Uploaded By freecoursewb
- Downloads 85
- Last checked 5 days ago
- Date uploaded 1 week ago
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Infohash : FB42F45AB08A7227FE3D2D275B3717A729D34A28
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.
Files:
[ WebToolTip.com ] Apache Spark for Data Engineering - Hands-On with PySpark- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Introduction & Course Overview
- 1. Welcome to the Course.mp4 (34.6 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)
- 10. Spark SQL.mp4 (51.5 MB)
- 6. What Is Apache Spark.mp4 (44.0 MB)
- 7. Spark Architecture Explained.mp4 (44.0 MB)
- 8. SparkSession & SparkContext.mp4 (42.4 MB)
- 9. Spark APIs DataFrames.mp4 (65.3 MB)
- 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 (145.0 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)
- 21. Project Description.html (9.0 KB)
- 22. Project Overview & Business Context.mp4 (78.4 MB)
- 23. Project Requirements & Pipeline Design.mp4 (16.0 MB)
- 24. Centralized Configuration & Project Structure.mp4 (170.0 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)
- 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)
- 39. What You Can Confidently Do After This Course.mp4 (44.1 MB)
- Bonus Resources.txt (0.1 KB)
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