Torrent Contents Size: 1.4 GB
Udemy - Taming Big Data with Apache Spark and Python – Hands On!
▼ show more 72 files
|
|
1. Introducing Elastic MapReduce.mp4
|
MP4
|
29 MB
|
|
|
1. Introducing MLLib.mp4
|
MP4
|
32.2 MB
|
|
|
1. Introducing SparkSQL.mp4
|
MP4
|
24.4 MB
|
|
|
1. Introduction to Spark.mp4
|
MP4
|
34 MB
|
|
|
1. Introduction.mp4
|
MP4
|
9.1 MB
|
|
|
1. Learning More about Spark and Data Science.mp4
|
MP4
|
69.8 MB
|
|
|
1. [Activity] Find the Most Popular Movie.mp4
|
MP4
|
31.2 MB
|
|
|
1.1 popular-movies.py.py
|
PY
|
512 B
|
|
|
10. [Activity] Improving the Word Count Script with Regular Expressions.mp4
|
MP4
|
23.8 MB
|
|
|
10. [Exercise] Improve the Quality of Similar Movies.mp4
|
MP4
|
20.6 MB
|
|
|
10.1 word-count-better.py.py
|
PY
|
512 B
|
|
|
11. [Activity] Sorting the Word Count Results.mp4
|
MP4
|
32.9 MB
|
|
|
11.1 word-count-better-sorted.py.py
|
PY
|
716.8 B
|
|
|
12. Tally up amount spent by customer using Spark.html
|
HTML
|
102.4 B
|
|
|
13. Sort your results by amount spent per customer.html
|
HTML
|
102.4 B
|
|
|
2. Bonus Lecture Discounts on my other courses!.mp4
|
MP4
|
15.4 MB
|
|
|
2. Executing SQL commands and SQL-style functions on a DataFrame.mp4
|
MP4
|
31.1 MB
|
|
|
2. How to Use This Course.mp4
|
MP4
|
11.5 MB
|
|
|
2. The Resilient Distributed Dataset (RDD).mp4
|
MP4
|
36 MB
|
|
|
2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4
|
MP4
|
65.6 MB
|
|
|
2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4
|
MP4
|
38.9 MB
|
|
|
2. [Activity] Using MLLib to Produce Movie Recommendations.mp4
|
MP4
|
16.3 MB
|
|
|
2.1 My website!.html
|
HTML
|
102.4 B
|
|
|
2.1 movie-recommendations-als.py.py
|
PY
|
1.4 KB
|
|
|
2.1 popular-movies-nicer.py.py
|
PY
|
819.2 B
|
|
|
2.1 spark-sql.py.py
|
PY
|
1.1 KB
|
|
|
2.2 Book version of this course at Amazon.html
|
HTML
|
102.4 B
|
|
|
3. Analyzing the ALS Recommendations Results.mp4
|
MP4
|
35.1 MB
|
|
|
3. Find the Most Popular Superhero in a Social Graph.mp4
|
MP4
|
25 MB
|
|
|
3. Partitioning.mp4
|
MP4
|
24.6 MB
|
|
|
3. Ratings Histogram Walkthrough.mp4
|
MP4
|
44.7 MB
|
|
|
3. Using DataFrames instead of RDD's.mp4
|
MP4
|
19.8 MB
|
|
|
3. Warning about Java 9!.html
|
HTML
|
614.4 B
|
|
|
3.1 Marvel Names.txt
|
TXT
|
324.6 KB
|
|
|
3.1 popular-movies-dataframe.py.py
|
PY
|
1.3 KB
|
|
|
3.1 ratings-counter.py.py
|
PY
|
409.6 B
|
|
|
3.2 Marvel Graph.txt
|
TXT
|
1.6 MB
|
|
|
3.3 most-popular-superhero.py.py
|
PY
|
921.6 B
|
|
|
4. Create Similar Movies from One Million Ratings - Part 1.mp4
|
MP4
|
28.8 MB
|
|
|
4. KeyValue RDD's, and the Average Friends by Age Example.mp4
|
MP4
|
61.7 MB
|
|
|
4. Using DataFrames with MLLib.mp4
|
MP4
|
28.7 MB
|
|
|
4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp4
|
MP4
|
29 MB
|
|
|
4. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4
|
MP4
|
82.5 MB
|
|
|
4.1 Apache Spark.html
|
HTML
|
102.4 B
|
|
|
4.1 Marvel Graph.txt
|
TXT
|
1.6 MB
|
|
|
4.1 movie-similarities-1m.py.py
|
PY
|
3.5 KB
|
|
|
4.1 spark-linear-regression.py.py
|
PY
|
2 KB
|
|
|
4.2 most-popular-superhero.py.py
|
PY
|
921.6 B
|
|
|
4.2 regression.txt.txt
|
TXT
|
10.7 KB
|
|
|
4.2 winutils.exe.html
|
HTML
|
102.4 B
|
|
|
4.3 GETTING STARTED - installation steps.html
|
HTML
|
102.4 B
|
|
|
4.3 Marvel Names.txt
|
TXT
|
324.6 KB
|
|
|
4.4 Enthought Canopy.html
|
HTML
|
102.4 B
|
|
|
4.5 JDK.html
|
HTML
|
102.4 B
|
|
|
5. Spark Streaming and GraphX.mp4
|
MP4
|
35.6 MB
|
|
|
5. Superhero Degrees of Separation Introducing Breadth-First Search.mp4
|
MP4
|
38.2 MB
|
|
|
5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4
|
MP4
|
60.1 MB
|
|
|
5. [Activity] Installing the MovieLens Movie Rating Dataset.mp4
|
MP4
|
7.9 MB
|
|
|
5. [Activity] Running the Average Friends by Age Example.mp4
|
MP4
|
8.5 MB
|
|
|
5.1 fakefriends.csv.html
|
HTML
|
102.4 B
|
|
|
5.2 friends-by-age.py.py
|
PY
|
614.4 B
|
|
|
6. Create Similar Movies from One Million Ratings - Part 3.mp4
|
MP4
|
30.7 MB
|
|
|
6. Filtering RDD's, and the Minimum Temperature by Location Example.mp4
|
MP4
|
30.9 MB
|
|
|
6. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp4
|
MP4
|
25.9 MB
|
|
|
6. [Activity] Run your first Spark program! Ratings histogram example..mp4
|
MP4
|
9.6 MB
|
|
|
6.1 min-temperatures.py.py
|
PY
|
716.8 B
|
|
|
6.1 ratings-counter.py.py
|
PY
|
409.6 B
|
|
|
6.2 1800.csv.html
|
HTML
|
102.4 B
|
|
|
7. Troubleshooting Spark on a Cluster.mp4
|
MP4
|
22.3 MB
|
|
|
7. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp4
|
MP4
|
55.2 MB
|
|
|
7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp4
|
MP4
|
32.9 MB
|
|
|
7.1 1800.csv.html
|
HTML
|
102.4 B
|
|
|
7.1 degrees-of-separation.py.py
|
PY
|
3.5 KB
|
|
|
7.2 min-temperatures.py.py
|
PY
|
716.8 B
|
|
|
8. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4
|
MP4
|
46.6 MB
|
|
|
8. More Troubleshooting, and Managing Dependencies.mp4
|
MP4
|
29.8 MB
|
|
|
8. [Activity] Running the Maximum Temperature by Location Example.mp4
|
MP4
|
22.1 MB
|
|
|
8.1 max-temperatures.py.py
|
PY
|
716.8 B
|
|
|
9. [Activity] Counting Word Occurrences using flatmap().mp4
|
MP4
|
29.4 MB
|
|
|
9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4
|
MP4
|
57.7 MB
|
|
|
9.1 movie-similarities.py.py
|
PY
|
3.4 KB
|
|
|
9.1 word-count.py.py
|
PY
|
409.6 B
|
|
|
9.2 Book.txt
|
TXT
|
257.8 KB
|
|
|
[FreeCourseSite.com].txt
|
TXT
|
1.1 KB
|
|
|
[FreeCourseSite.com].url
|
URL
|
102.4 B
|
|
|
[HaxTech.me].txt
|
TXT
|
1.1 KB
|
|
|
[HaxTech.me].url
|
URL
|
102.4 B
|
Description
Related Torrents
Trackers
| Tracker name |
| udp://62.138.0.158:6969/announce |
| udp://87.233.192.220:6969/announce |
| udp://144.76.167.213:1337/announce |
| udp://151.80.120.112:2710/announce |
| udp://163.172.81.35:1337/announce |
| http://163.172.81.35:1337/announce |
| udp://211.149.236.45:6969/announce |
| udp://109.236.91.32:6969/announce |
| udp://83.208.197.185:1337/announce |
| udp://51.15.4.13:1337/announce |
| http://51.15.4.13:1337/announce |
| http://185.82.217.160:1337/announce |
| udp://185.82.217.160:1337/announce |
| udp://198.54.117.24:1337/announce |
| udp://tracker.zer0day.to:1337/announce |
| udp://tracker.leechers-paradise.org:6969/announce |
| udp://coppersurfer.tk:6969/announce |
Torrent hash:
Copied!
