| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Setup Spark Fundamentals | |||
| 1 - What Is Mapreduce.mp4 | 31.5 MB | ||
| 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 | 204.8 B | ||
| data | |||
| _usage_part_01.csv | 307.2 B | ||
| _usage_part_02.csv | 204.8 B | ||
| _usage_part_03.csv | 204.8 B | ||
| _usage_part_04.csv | 204.8 B | ||
| _usage_part_05.csv | 204.8 B | ||
| _usage_part_06.csv | 204.8 B | ||
| _usage_part_07.csv | 204.8 B | ||
| _usage_part_08.csv | 204.8 B | ||
| _usage_part_09.csv | 204.8 B | ||
| _usage_part_10.csv | 204.8 B | ||
| data | |||
| 3 - Cleaning And Preparing The Data | |||
| 10 - Explanations.mp4 | 39.3 MB | ||
| 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 | ||
| 9 - Cleaning The Data.mp4 | 19.3 MB | ||
| 9 - applications-categories.csv | 1.6 KB | ||
| 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 | ||
| 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 |
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
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
|
Udemy - Vercel Eve Beginner to Pro - Build and Deploy Agentic AI Agents Posted by
freecoursewb in Other
|
2.5 GB | freecoursewb | 1 day | 0 | 0 |
|
Udemy - Kotlin AI Agents with Koog - Build Agentic AI Apps on the JVM Posted by
freecoursewb in Other
|
1.3 GB | freecoursewb | 1 day | 0 | 0 |
| 3.8 GB | freecoursewb | 1 day | 1 | 192 | |
| 1.2 GB | freecoursewb | 2 days | 24 | 10 | |
| 875.4 MB | freecoursewb | 2 days | 0 | 0 |
All Comments