FreeTutorials Us Udemy Taming Big Data with Apache Spark and Python Hands On

/1. Getting Started with Spark/

1. Introduction.mp4

2. How to Use This Course.mp4

3. Warning about Java 9!.html

4.1 Apache Spark.html

4.2 winutils.exe.html

4.3 GETTING STARTED - installation steps.html

4.4 Enthought Canopy.html

4.5 JDK.html

4. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4

5. [Activity] Installing the MovieLens Movie Rating Dataset.mp4

6.1 ratings-counter.py.py

6. [Activity] Run your first Spark program! Ratings histogram example..mp4

/2. Spark Basics and Simple Examples/

10.1 word-count-better.py.py

10. [Activity] Improving the Word Count Script with Regular Expressions.mp4

11.1 word-count-better-sorted.py.py

11. [Activity] Sorting the Word Count Results.mp4

12. Tally up amount spent by customer using Spark.html

13. Sort your results by amount spent per customer.html

1. Introduction to Spark.mp4

2. The Resilient Distributed Dataset (RDD).mp4

3.1 ratings-counter.py.py

3. Ratings Histogram Walkthrough.mp4

4. KeyValue RDD's, and the Average Friends by Age Example.mp4

5.1 fakefriends.csv.html

5.2 friends-by-age.py.py

5. [Activity] Running the Average Friends by Age Example.mp4

6.1 min-temperatures.py.py

6.2 1800.csv.html

6. Filtering RDD's, and the Minimum Temperature by Location Example.mp4

7.1 1800.csv.html

7.2 min-temperatures.py.py

7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp4

8.1 max-temperatures.py.py

8. [Activity] Running the Maximum Temperature by Location Example.mp4

9.1 word-count.py.py

9.2 Book.txt

9. [Activity] Counting Word Occurrences using flatmap().mp4

/3. Advanced Examples of Spark Programs/

10. [Exercise] Improve the Quality of Similar Movies.mp4

1.1 popular-movies.py.py

1. [Activity] Find the Most Popular Movie.mp4

2.1 popular-movies-nicer.py.py

2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4

3.1 Marvel Names.txt

3.2 Marvel Graph.txt

3.3 most-popular-superhero.py.py

3. Find the Most Popular Superhero in a Social Graph.mp4

4.1 Marvel Graph.txt

4.2 most-popular-superhero.py.py

4.3 Marvel Names.txt

4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp4

5. Superhero Degrees of Separation Introducing Breadth-First Search.mp4

6. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp4

7.1 degrees-of-separation.py.py

7. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp4

8. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4

9.1 movie-similarities.py.py

9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4

/4. Running Spark on a Cluster/

1. Introducing Elastic MapReduce.mp4

2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4

3. Partitioning.mp4

4.1 movie-similarities-1m.py.py

4. Create Similar Movies from One Million Ratings - Part 1.mp4

5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4

6. Create Similar Movies from One Million Ratings - Part 3.mp4

7. Troubleshooting Spark on a Cluster.mp4

8. More Troubleshooting, and Managing Dependencies.mp4

/5. SparkSQL, DataFrames, and DataSets/

1. Introducing SparkSQL.mp4

2.1 spark-sql.py.py

2. Executing SQL commands and SQL-style functions on a DataFrame.mp4

3.1 popular-movies-dataframe.py.py

3. Using DataFrames instead of RDD's.mp4

/6. Other Spark Technologies and Libraries/

1. Introducing MLLib.mp4

2.1 movie-recommendations-als.py.py

2. [Activity] Using MLLib to Produce Movie Recommendations.mp4

3. Analyzing the ALS Recommendations Results.mp4

4.1 spark-linear-regression.py.py

4.2 regression.txt.txt

4. Using DataFrames with MLLib.mp4

5. Spark Streaming and GraphX.mp4

/7. You Made It! Where to Go from Here/

1. Learning More about Spark and Data Science.mp4

2.1 My website!.html

2.2 Book version of this course at Amazon.html

2. Bonus Lecture Discounts on my other courses!.mp4

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