Udemy - Taming Big Data with Apache Spark and Python – Hands On!

seeders: 6
leechers: 0
updated:
Download torrent
Added by fcs0310 in Other > Tutorials
Download Fast Safe Anonymous
movies, software, shows...

Files

[FreeCourseSite.com] Udemy - Taming Big Data with Apache Spark and Python – Hands On! 1. Getting Started with Spark
  • 1. Introduction.mp4 (9.1 MB)
  • 2. How to Use This Course.mp4 (11.5 MB)
  • 3. Warning about Java 9!.html (0.6 KB)
  • 4. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4 (82.5 MB)
  • 4.1 Apache Spark.html (0.1 KB)
  • 4.2 winutils.exe.html (0.1 KB)
  • 4.3 GETTING STARTED - installation steps.html (0.1 KB)
  • 4.4 Enthought Canopy.html (0.1 KB)
  • 4.5 JDK.html (0.1 KB)
  • 5. [Activity] Installing the MovieLens Movie Rating Dataset.mp4 (7.9 MB)
  • 6. [Activity] Run your first Spark program! Ratings histogram example..mp4 (9.6 MB)
  • 6.1 ratings-counter.py.py (0.4 KB)
2. Spark Basics and Simple Examples
  • 1. Introduction to Spark.mp4 (34.0 MB)
  • 10. [Activity] Improving the Word Count Script with Regular Expressions.mp4 (23.8 MB)
  • 10.1 word-count-better.py.py (0.5 KB)
  • 11. [Activity] Sorting the Word Count Results.mp4 (32.9 MB)
  • 11.1 word-count-better-sorted.py.py (0.7 KB)
  • 12. Tally up amount spent by customer using Spark.html (0.1 KB)
  • 13. Sort your results by amount spent per customer.html (0.1 KB)
  • 2. The Resilient Distributed Dataset (RDD).mp4 (36.0 MB)
  • 3. Ratings Histogram Walkthrough.mp4 (44.7 MB)
  • 3.1 ratings-counter.py.py (0.4 KB)
  • 4. KeyValue RDD's, and the Average Friends by Age Example.mp4 (61.7 MB)
  • 5. [Activity] Running the Average Friends by Age Example.mp4 (8.5 MB)
  • 5.1 fakefriends.csv.html (0.1 KB)
  • 5.2 friends-by-age.py.py (0.6 KB)
  • 6. Filtering RDD's, and the Minimum Temperature by Location Example.mp4 (30.9 MB)
  • 6.1 min-temperatures.py.py (0.7 KB)
  • 6.2 1800.csv.html (0.1 KB)
  • 7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp4 (32.9 MB)
  • 7.1 1800.csv.html (0.1 KB)
  • 7.2 min-temperatures.py.py (0.7 KB)
  • 8. [Activity] Running the Maximum Temperature by Location Example.mp4 (22.1 MB)
  • 8.1 max-temperatures.py.py (0.7 KB)
  • 9. [Activity] Counting Word Occurrences using flatmap().mp4 (29.4 MB)
  • 9.1 word-count.py.py (0.4 KB)
  • 9.2 Book.txt (257.8 KB)
3. Advanced Examples of Spark Programs
  • 1. [Activity] Find the Most Popular Movie.mp4 (31.2 MB)
  • 1.1 popular-movies.py.py (0.5 KB)
  • 10. [Exercise] Improve the Quality of Similar Movies.mp4 (20.6 MB)
  • 2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4 (38.9 MB)
  • 2.1 popular-movies-nicer.py.py (0.8 KB)
  • 3. Find the Most Popular Superhero in a Social Graph.mp4 (25.0 MB)
  • 3.1 Marvel Names.txt (324.6 KB)
  • 3.2 Marvel Graph.txt (1.6 MB)
  • 3.3 most-popular-superhero.py.py (0.9 KB)
  • 4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp4 (29.0 MB)
  • 4.1 Marvel Graph.txt (1.6 MB)
  • 4.2 most-popular-superhero.py.py (0.9 KB)
  • 4.3 Marvel Names.txt (324.6 KB)
  • 5. Superhero Degrees of Separation Introducing Breadth-First Search.mp4 (38.2 MB)
  • 6. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp4 (25.9 MB)
  • 7. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp4 (55.2 MB)
  • 7.1 degrees-of-separation.py.py (3.5 KB)
  • 8. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4 (46.6 MB)
  • 9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4 (57.7 MB)
  • 9.1 movie-similarities.py.py (3.4 KB)
4. Running Spark on a Cluster
  • 1. Introducing Elastic MapReduce.mp4 (29.0 MB)
  • 2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4 (65.6 MB)
  • 3. Partitioning.mp4 (24.6 MB)
  • 4. Create Similar Movies from One Million Ratings - Part 1.mp4 (28.8 MB)
  • 4.1 movie-similarities-1m.py.py (3.5 KB)
  • 5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4 (60.1 MB)
  • 6. Create Similar Movies from One Million Ratings - Part 3.mp4 (30.7 MB)
  • 7. Troubleshooting Spark on a Cluster.mp4 (22.3 MB)
  • 8. More Troubleshooting, and Managing Dependencies.mp4 (29.8 MB)
5. SparkSQL, DataFrames, and DataSets
  • 1. Introducing SparkSQL.mp4 (24.4 MB)
  • 2. Executing SQL commands and SQL-style functions on a DataFrame.mp4 (31.1 MB)
  • 2.1 spark-sql.py.py (1.1 KB)
  • 3. Using DataFrames instead of RDD's.mp4 (19.8 MB)
  • 3.1 popular-movies-dataframe.py.py (1.3 KB)
6. Other Spark Technologies and Libraries
  • 1. Introducing MLLib.mp4 (32.2 MB)
  • 2. [Activity] Using MLLib to Produce Movie Recommendations.mp4 (16.3 MB)
  • 2.1 movie-recommendations-als.py.py (1.4 KB)
  • 3. Analyzing the ALS Recommendations Results.mp4 (35.1 MB)
  • 4. Using DataFrames with MLLib.mp4 (28.7 MB)
  • 4.1 spark-linear-regression.py.py (2.0 KB)
  • 4.2 regression.txt.txt (10.7 KB)
  • 5. Spark Streaming and GraphX.mp4 (35.6 MB)
7. You Made It! Where to Go from Here
  • 1. Learning More about Spark and Data Science.mp4 (69.8 MB)
  • 2. Bonus Lecture Discounts on my other courses!.mp4 (15.4 MB)
  • 2.1 My website!.html (0.1 KB)
  • 2.2 Book version of this course at Amazon.html (0.1 KB)
  • [FreeCourseSite.com].txt (1.1 KB)
  • [FreeCourseSite.com].url (0.1 KB)
  • [HaxTech.me].txt (1.1 KB)
  • [HaxTech.me].url (0.1 KB)

Description

Udemy - Taming Big Data with Apache Spark and Python – Hands On!

Dive right in with 15+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!

For more Udemy Courses: https://freecoursesite.com



Download torrent
1.4 GB
seeders:6
leechers:0
Udemy - Taming Big Data with Apache Spark and Python – Hands On!

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://82.45.40.204:1337/announce
udp://123.249.16.65:2710/announce
udp://5.226.21.164:6969/announce
udp://210.244.71.25:6969/announce
udp://78.142.19.42:1337/announce
udp://191.96.249.23:6969/announce
µTorrent compatible trackers list

Download torrent
1.4 GB
seeders:6
leechers:0
Udemy - Taming Big Data with Apache Spark and Python – Hands On!

Torrent hash: C18BF51DEB3BEB11CDDB19ECEA4D430F34D78A9C