Udemy - Build A Real Pyspark Pipeline From Scratch

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size482.9 MB
  • Uploaded Byfreecoursewb
  • Downloads79
  • Last checkedApr. 06th '26
  • Date uploadedApr. 05th '26
  • Seeders 10
  • Leechers3

Infohash : 31321EE26DD1673FA10C079B1A6DD9C5C88EFE02

Build A Real Pyspark Pipeline From Scratch

https://WebToolTip.com

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 437.78 MB | Duration: 1h 29m

Master PySpark with a real dataset: schema design, joins, window functions & the 'why' behind every technical decision.

What you'll learn
Build a complete PySpark data pipeline from scratch.
Explain and justify core PySpark architectural decisions.
Read and interpret the Spark UI.
Understand why Parquet outperforms CSV for analytical workloads.

Requirements
Motivation
Python

Files:

[ WebToolTip.com ] Udemy - Build A Real Pyspark Pipeline From Scratch
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 1 - Setup Spark Fundamentals
    • 1 - What Is Mapreduce.mp4 (31.5 MB)
    • 2 - Spark Architecture.mp4 (32.2 MB)
    • 3 - Setting Up Your Environment.mp4 (28.9 MB)
    • 4 - Written Guide Stepbystep Setup Guide Macos Windows.html (27.3 KB)
    • 5 - The Spark Ui.mp4 (69.4 MB)
    • 5 - spark-ui-demo.py (5.6 KB)
    2 - Reading The Data The Right Way
    • 6 - Project Overview.mp4 (10.7 MB)
    • 7 - Reading The Data.mp4 (8.6 MB)
    • 8 - Explanations.mp4 (38.6 MB)
      • __MACOSX
      • _data (0.2 KB)
        • data
        • _usage_part_01.csv (0.3 KB)
        • _usage_part_02.csv (0.2 KB)
        • _usage_part_03.csv (0.2 KB)
        • _usage_part_04.csv (0.2 KB)
        • _usage_part_05.csv (0.2 KB)
        • _usage_part_06.csv (0.2 KB)
        • _usage_part_07.csv (0.2 KB)
        • _usage_part_08.csv (0.2 KB)
        • _usage_part_09.csv (0.2 KB)
        • _usage_part_10.csv (0.2 KB)
        data
        • usage_part_01.csv (5.1 MB)
        • usage_part_02.csv (5.3 MB)
        • usage_part_03.csv (5.2 MB)
        • usage_part_04.csv (5.2 MB)
        • usage_part_05.csv (5.3 MB)
        • usage_part_06.csv (5.1 MB)
        • usage_part_07.csv (5.2 MB)
        • usage_part_08.csv (5.2 MB)
        • usage_part_09.csv (5.2 MB)
        • usage_part_10.csv (5.3 MB)
        3 - Cleaning And Preparing The Data
        • 10 - Explanations.mp4 (39.3 MB)
        • 9 - Cleaning The Data.mp4 (19.3 MB)
        • 9 - applications-categories.csv (1.6 KB)
        4 - Computing The Behavioral Index
        • 11 - Computing Raw Indew And Smoothed Index.mp4 (48.3 MB)
        • 12 - Explanations.mp4 (63.4 MB)
        5 - Storing Data
        • 13 - Storing Data Efficiently.mp4 (16.4 MB)
        • 14 - Explanations.mp4 (24.3 MB)
        • Bonus Resources.txt (0.1 KB)

Code:

  • udp://tracker.torrent.eu.org:451/announce
  • udp://tracker.tiny-vps.com:6969/announce
  • http://tracker.foreverpirates.co:80/announce
  • udp://tracker.cyberia.is:6969/announce
  • udp://exodus.desync.com:6969/announce
  • udp://explodie.org:6969/announce
  • udp://tracker.opentrackr.org:1337/announce
  • udp://9.rarbg.to:2780/announce
  • udp://tracker.internetwarriors.net:1337/announce
  • udp://ipv4.tracker.harry.lu:80/announce
  • udp://open.stealth.si:80/announce
  • udp://9.rarbg.to:2900/announce
  • udp://9.rarbg.me:2720/announce
  • udp://opentor.org:2710/announce