| 00 - Generating Data.ipynb | 14.5 KB | ||
| 01 - Loading Data.ipynb | 27.7 KB | ||
| 02 - Transforming Data.ipynb | 58.5 KB | ||
| 03 - Aggregation and Exploratory Analysis.ipynb | 28.1 KB | ||
| 04 - Trend Analysis with Window Functions.ipynb | 32.1 KB | ||
| 05 - Data Reshaping and Approximate Analytics.ipynb | 24.8 KB | ||
| 06 - Optimizing Data Movement.ipynb | 25.4 KB | ||
| 07 - Memory Optimization.ipynb | 21.3 KB | ||
| 08 - Performance Tuning.ipynb | 28.1 KB | ||
| 09 - SQL-Driven Analytics.ipynb | 32 KB | ||
| 1 -What Is PySpark.mp4 | 8.2 MB | ||
| 10 - Visualizing and Exporting Results.ipynb | 173.7 KB | ||
| 10 -Demo Performance Tuning.mp4 | 14.2 MB | ||
| 11 -Demo SQL-driven Analytics.mp4 | 14.8 MB | ||
| 12 -Demo Generating Visuals and Exports.mp4 | 18.7 MB | ||
| 13 -Demo Integrating with BI Tools.mp4 | 11.5 MB | ||
| 2 -Demo Loading Data.mp4 | 19.8 MB | ||
| 3 -Demo Transforming Data.mp4 | 21.1 MB | ||
| 4 -Demo Aggregation and Exploratory Data Analysis.mp4 | 22.9 MB | ||
| 5 -Demo Trend Analysis with Window Functions.mp4 | 28.6 MB | ||
| 6 -Demo Data Reshaping and Approximate Analytics.mp4 | 23.8 MB | ||
| 7 -Optimizing PySpark.mp4 | 10 MB | ||
| 8 -Demo Optimizing Data Movement.mp4 | 29.1 MB | ||
| 9 -Demo Memory Optimization.mp4 | 14.9 MB | ||
| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| analyzing-large-datasets-slides.pdf | 515 KB | ||
| customers_data.csv | 646.7 KB | ||
| customers_data.json | 1.3 MB | ||
| customers_data.orc | 190.1 KB | ||
| customers_data.parquet | 237.9 KB | ||
| ingesting-and-transforming-data-slides.pdf | 5.6 MB | ||
| optimizing-performance-slides.pdf | 4.4 MB | ||
| transactions_data.parquet | 8.6 MB | ||
| visualizing-and-exporting-results-slides.pdf | 515.2 KB | ||
| ▲ 35 total files | |||
Big Data Analytics with PySpark
https://WebToolTip.com
Published 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz
Language: English | Size: 238.22 MB | Duration: 1h 10m 48s
PySpark combines the versatility of Python with the parallel computing power of Spark. This course will get you started with big data analytics using this popular API.
PySpark combines the powerful parallel computing platform of Spark with
the very popular Python language to enable the analysis of large datasets.
In this course, Big Data Analytics with PySpark, you’ll gain the ability to
tackle the transformation and analysis of large datasets with this popular
API.
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 2.4 GB | freecoursewb | 1 month | 14 | 20 | |
| 2.6 GB | freecoursewb | 2 months | 0 | 0 | |
| 2 GB | freecoursewb | 5 months | 14 | 3 | |
| 1.6 GB | freecoursewb | 6 months | 17 | 4 | |
| 328.8 MB | freecoursewb | 7 months | 8 | 1 |
All Comments