Download Apache Spark for Data Engineering - Hands-On with PySpark torrent

Apache Spark for Data Engineering - Hands-On with PySpark

Torrent:	Apache Spark for Data Engineering - Hands-On with PySpark
Description:	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.
Downloads:	5
Category:	Other /Tutorials
Size:	3 GB
Show 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) 2 - Apache Spark Fundamentals 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) 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 (145.0 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) 4 - Real-World Data Engineering Project 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) 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) Bonus Resources.txt (0.1 KB) files
Added:	2026-02-26 12:57:14
Language:	English
Peers:	Seeders : 1 , Leechers : 4
Release name:	Apache Spark for Data Engineering - Hands-On with PySpark
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