ZerotoMastery - Fundamentals of Apache Spark and PySpark

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[ WebToolTip.com ] ZerotoMastery - Fundamentals of Apache Spark and PySpark
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here !
    • 1. Introduction 1430K.mp4 (41.6 MB)
    • 10. Lazy Processing 1276K.mp4 (10.1 MB)
    • 11. [Exercise] Basic Functions 706K.mp4 (6.2 MB)
    • 12. [Exercise] Basic Functions - Solution 464K.mp4 (21.4 MB)
    • 13. Aggregating Data 1349K.mp4 (17.8 MB)
    • 14. Joining Data 1264K.mp4 (19.7 MB)
    • 15. Aggregations and Joins with Spark 477K.mp4 (16.5 MB)
    • 16. Complex Data Types 1356K.mp4 (23.3 MB)
    • 17. [Exercise] Aggregate Functions 654K.mp4 (3.3 MB)
    • 18. [Exercise] Aggregate Functions - Solution 434K.mp4 (16.9 MB)
    • 19. User Defined Functions 1328K.mp4 (14.7 MB)
    • 2. [Optional] What Is a Virtualenv_ 523K.mp4 (18.4 MB)
    • 20. Data Shuffle 1156K.mp4 (24.4 MB)
    • 21. Data Accumulators 1302K.mp4 (16.0 MB)
    • 22. Optimizing Spark Jobs 1191K.mp4 (29.8 MB)
    • 23. Submitting Spark Jobs 1011K.mp4 (28.9 MB)
    • 24. Other Spark APIs 1246K.mp4 (21.0 MB)
    • 25. Spark SQL 1058K.mp4 (17.8 MB)
    • 26. [Exercise] Advanced Spark 669K.mp4 (8.8 MB)
    • 27. [Exercise] Advanced Spark - Solution 552K.mp4 (18.4 MB)
    • 28. Summary 1277K.mp4 (14.1 MB)
    • 29. Let's Keep Learning Together! 1508K.mp4 (6.5 MB)
    • 3. Apache Spark 1277K.mp4 (16.2 MB)
    • 4. How Spark Works 1190K.mp4 (17.2 MB)
    • 5. Spark Application 1334K.mp4 (34.2 MB)
    • 6. DataFrames 1282K.mp4 (27.6 MB)
    • 7. Installing Spark 534K.mp4 (25.2 MB)
    • 8. Inside Airbnb Data 982K.mp4 (34.2 MB)
    • 9. Writing Your First Spark Job 524K.mp4 (20.1 MB)
    • Bonus Resources.txt (0.1 KB)

Description

ZerotoMastery - Fundamentals of Apache Spark and PySpark

https://WebToolTip.com

Released 11/2025
Taught by Ivan Mushketyk
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 29 Lessons ( 2h 20m ) | Size: 571 MB

Get hands-on with Apache Spark and PySpark by learning how to build scalable, high-performance data pipelines using the DataFrame API, Spark jobs, joins, aggregations, and more.

What you'll learn
Learn the skills and real-world tools used by Data Engineers and become top 10% in your field
Set up Apache Spark and configure your local or cloud environment for big data processing
Write efficient PySpark code to handle, transform, and analyze large-scale datasets
Use DataFrames to manipulate data in a distributed computing environment
Build scalable data pipelines that integrate multiple transformation and aggregation steps
Create a strong foundation for a career in Data Engineering, Data Science, and AI/ML

Apache Spark is a must-know tool for any aspiring Data Engineer or Data Scientist. And PySpark? It’s your Python-powered key to unlocking Spark’s full potential.



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570.4 MB
seeders:8
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ZerotoMastery - Fundamentals of Apache Spark and PySpark

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