| 1. Introducing Elastic MapReduce.mp4 | 29 MB | ||
| 1. Introducing MLLib.mp4 | 32.2 MB | ||
| 1. Introducing SparkSQL.mp4 | 24.4 MB | ||
| 1. Introduction to Spark.mp4 | 34 MB | ||
| 1. Introduction.mp4 | 9.1 MB | ||
| 1. Learning More about Spark and Data Science.mp4 | 69.8 MB | ||
| 1. [Activity] Find the Most Popular Movie.mp4 | 31.2 MB | ||
| 1.1 popular-movies.py.py | 512 B | ||
| 10. [Activity] Improving the Word Count Script with Regular Expressions.mp4 | 23.8 MB | ||
| 10. [Exercise] Improve the Quality of Similar Movies.mp4 | 20.6 MB | ||
| 10.1 word-count-better.py.py | 512 B | ||
| 11. [Activity] Sorting the Word Count Results.mp4 | 32.9 MB | ||
| 11.1 word-count-better-sorted.py.py | 716.8 B | ||
| 12. Tally up amount spent by customer using Spark.html | 102.4 B | ||
| 13. Sort your results by amount spent per customer.html | 102.4 B | ||
| 2. Bonus Lecture Discounts on my other courses!.mp4 | 15.4 MB | ||
| 2. Executing SQL commands and SQL-style functions on a DataFrame.mp4 | 31.1 MB | ||
| 2. How to Use This Course.mp4 | 11.5 MB | ||
| 2. The Resilient Distributed Dataset (RDD).mp4 | 36 MB | ||
| 2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4 | 65.6 MB | ||
| 2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4 | 38.9 MB | ||
| 2. [Activity] Using MLLib to Produce Movie Recommendations.mp4 | 16.3 MB | ||
| 2.1 My website!.html | 102.4 B | ||
| 2.1 movie-recommendations-als.py.py | 1.4 KB | ||
| 2.1 popular-movies-nicer.py.py | 819.2 B | ||
| 2.1 spark-sql.py.py | 1.1 KB | ||
| 2.2 Book version of this course at Amazon.html | 102.4 B | ||
| 3. Analyzing the ALS Recommendations Results.mp4 | 35.1 MB | ||
| 3. Find the Most Popular Superhero in a Social Graph.mp4 | 25 MB | ||
| 3. Partitioning.mp4 | 24.6 MB | ||
| 3. Ratings Histogram Walkthrough.mp4 | 44.7 MB | ||
| 3. Using DataFrames instead of RDD's.mp4 | 19.8 MB | ||
| 3. Warning about Java 9!.html | 614.4 B | ||
| 3.1 Marvel Names.txt | 324.6 KB | ||
| 3.1 popular-movies-dataframe.py.py | 1.3 KB | ||
| 3.1 ratings-counter.py.py | 409.6 B | ||
| 3.2 Marvel Graph.txt | 1.6 MB | ||
| 3.3 most-popular-superhero.py.py | 921.6 B | ||
| 4. Create Similar Movies from One Million Ratings - Part 1.mp4 | 28.8 MB | ||
| 4. KeyValue RDD's, and the Average Friends by Age Example.mp4 | 61.7 MB | ||
| 4. Using DataFrames with MLLib.mp4 | 28.7 MB | ||
| 4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp4 | 29 MB | ||
| 4. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4 | 82.5 MB | ||
| 4.1 Apache Spark.html | 102.4 B | ||
| 4.1 Marvel Graph.txt | 1.6 MB | ||
| 4.1 movie-similarities-1m.py.py | 3.5 KB | ||
| 4.1 spark-linear-regression.py.py | 2 KB | ||
| 4.2 most-popular-superhero.py.py | 921.6 B | ||
| 4.2 regression.txt.txt | 10.7 KB | ||
| 4.2 winutils.exe.html | 102.4 B | ||
| 4.3 GETTING STARTED - installation steps.html | 102.4 B | ||
| 4.3 Marvel Names.txt | 324.6 KB | ||
| 4.4 Enthought Canopy.html | 102.4 B | ||
| 4.5 JDK.html | 102.4 B | ||
| 5. Spark Streaming and GraphX.mp4 | 35.6 MB | ||
| 5. Superhero Degrees of Separation Introducing Breadth-First Search.mp4 | 38.2 MB | ||
| 5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4 | 60.1 MB | ||
| 5. [Activity] Installing the MovieLens Movie Rating Dataset.mp4 | 7.9 MB | ||
| 5. [Activity] Running the Average Friends by Age Example.mp4 | 8.5 MB | ||
| 5.1 fakefriends.csv.html | 102.4 B | ||
| 5.2 friends-by-age.py.py | 614.4 B | ||
| 6. Create Similar Movies from One Million Ratings - Part 3.mp4 | 30.7 MB | ||
| 6. Filtering RDD's, and the Minimum Temperature by Location Example.mp4 | 30.9 MB | ||
| 6. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp4 | 25.9 MB | ||
| 6. [Activity] Run your first Spark program! Ratings histogram example..mp4 | 9.6 MB | ||
| 6.1 min-temperatures.py.py | 716.8 B | ||
| 6.1 ratings-counter.py.py | 409.6 B | ||
| 6.2 1800.csv.html | 102.4 B | ||
| 7. Troubleshooting Spark on a Cluster.mp4 | 22.3 MB | ||
| 7. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp4 | 55.2 MB | ||
| 7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp4 | 32.9 MB | ||
| 7.1 1800.csv.html | 102.4 B | ||
| 7.1 degrees-of-separation.py.py | 3.5 KB | ||
| 7.2 min-temperatures.py.py | 716.8 B | ||
| 8. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4 | 46.6 MB | ||
| 8. More Troubleshooting, and Managing Dependencies.mp4 | 29.8 MB | ||
| 8. [Activity] Running the Maximum Temperature by Location Example.mp4 | 22.1 MB | ||
| 8.1 max-temperatures.py.py | 716.8 B | ||
| 9. [Activity] Counting Word Occurrences using flatmap().mp4 | 29.4 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 | ||
| 9.1 word-count.py.py | 409.6 B | ||
| 9.2 Book.txt | 257.8 KB | ||
| [FreeCourseSite.com].txt | 1.1 KB | ||
| [FreeCourseSite.com].url | 102.4 B | ||
| [HaxTech.me].txt | 1.1 KB | ||
| [HaxTech.me].url | 102.4 B | ||
| ▲ 87 total files | |||
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
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[ FreeCourseWeb ] Udemy - Taming REGEX - A Complete Guide to Regular Expressions Posted by
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