Download Udemy - Taming Big Data with Apache Spark and Python

Torrent Contents Size: 1.4 GB

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

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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

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

Torrent Contents Size: 1.4 GB

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