| OR76/01 - Introduction.mp4 |
153.4 MB |
| OR76/02 - How to Use This Course.mp4 |
9.3 MB |
| OR76/03 - Getting Set Up – Installing Python, a JDK, Spark, and its Dependencies.mp4 |
102.6 MB |
| OR76/04 - Installing the MovieLens Movie Rating Dataset.mp4 |
96.6 MB |
| OR76/05 - Run Your First Spark Program – Ratings Histogram Example.mp4 |
128.7 MB |
| OR76/06 - Introduction to Spark.mp4 |
100.2 MB |
| OR76/07 - The Resilient Distributed Dataset (RDD) Z.mp4 |
96.8 MB |
| OR76/08 - Ratings Histogram Walkthrough.mp4 |
135.6 MB |
| OR76/09 - Key_Value RDDs and the Average Friends by Age Example.mp4 |
183.7 MB |
| OR76/10 - Running the Average Friends by Age Example.mp4 |
95.7 MB |
| OR76/11 - Filtering RDDs and the Minimum Temperature by Location Example.mp4 |
26.8 MB |
| OR76/12 - Running the Minimum Temperature Example and Modifying It for Maximums.mp4 |
126.4 MB |
| OR76/13 - Running the Maximum Temperature by Location Example.mp4 |
85.2 MB |
| OR76/14 - Counting Word Occurrences Using flatmap().mp4 |
27.6 MB |
| OR76/15 - Improving the Word Count Script with Regular Expressions.mp4 |
86.2 MB |
| OR76/16 - Sorting the Word Count Results.mp4 |
113.1 MB |
| OR76/17 - Find the Total Amount Spent by Customer.mp4 |
65.4 MB |
| OR76/18 - Check Your Results and Sort Them by Total Amount Spent.mp4 |
100.3 MB |
| OR76/19 - Check Your Sorted Implementation and Results Against Mine.mp4 |
82.4 MB |
| OR76/20 - Find the Most Popular Movie.mp4 |
112.4 MB |
| OR76/21 - Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4 |
135.4 MB |
| OR76/22 - Find the Most Popular Superhero in a Social Graph.mp4 |
87.3 MB |
| OR76/23 - Run the Script – Discover Who the Most Popular Superhero is!.mp4 |
105 MB |
| OR76/24 - Superhero Degrees of Separation – Introducing Breadth-First Search.mp4 |
131.4 MB |
| OR76/25 - Superhero Degrees of Separation – Accumulators and Implementing BFS in Spark.mp4 |
76.5 MB |
| OR76/26 - Superhero Degrees of Separation – Review the Code and Run it.mp4 |
203 MB |
| OR76/27 - Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4 |
149 MB |
| OR76/28 - Running the Similar Movies Script Using Spark's Cluster Manager.mp4 |
206.1 MB |
| OR76/29 - Improve the Quality of Similar Movies.mp4 |
74.2 MB |
| OR76/30 - Introducing Elastic MapReduce.mp4 |
94.9 MB |
| OR76/31 - Setting Up Your AWS _ Elastic MapReduce Account and PuTTY.mp4 |
251.9 MB |
| OR76/32 - Partitioning.mp4 |
84.2 MB |
| OR76/33 - Create Similar Movies from One Million Ratings – Part 1.mp4 |
105.5 MB |
| OR76/34 - Create Similar Movies from One Million Ratings – Part 2.mp4 |
212 MB |
| OR76/35 - Create Similar Movies from One Million Ratings – Part 3.mp4 |
115.6 MB |
| OR76/36 - Troubleshooting Spark on a Cluster.mp4 |
82.5 MB |
| OR76/37 - More Troubleshooting and Managing Dependencies.mp4 |
96.7 MB |
| OR76/38 - Introducing SparkSQL.mp4 |
23.9 MB |
| OR76/39 - Executing SQL Commands and SQL-Style Functions on a DataFrame.mp4 |
45.3 MB |
| OR76/40 - Using DataFrames Instead of RDDs.mp4 |
26.3 MB |
| OR76/41 - Introducing MLLib.mp4 |
97.8 MB |
| OR76/42 - Using MLLib to Produce Movie Recommendations.mp4 |
61.9 MB |
| OR76/43 - Analyzing the ALS Recommendations Results.mp4 |
123.1 MB |
| OR76/44 - Using DataFrames with MLLib.mp4 |
40.8 MB |
| OR76/45 - Spark Streaming and GraphX.mp4 |
115 MB |
| OR76/46 - Learning More about Spark and Data Science.mp4 |
280.4 MB |
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