FreeCourseSite com Udemy Taming Big Data with Apache Spark and Python Hands On

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/1. Getting Started with Spark/

1. Introduction.mp4

1. Introduction.srt

2. How to Use This Course.mp4

2. How to Use This Course.srt

3. Udemy 101 Getting the Most From This Course.mp4

3. Udemy 101 Getting the Most From This Course.srt

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

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

4.1 winutils.exe.html

4.2 Apache Spark.html

4.3 JDK.html

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

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

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

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

6.1 ratings-counter.py

/2. Spark Basics and the RDD Interface/

1. What's new in Spark 3.mp4

1. What's new in Spark 3.srt

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

10. [Activity] Counting Word Occurrences using flatmap().srt

10.1 word-count.py

10.2 Book.txt

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

11. [Activity] Improving the Word Count Script with Regular Expressions.srt

11.1 word-count-better.py

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

12. [Activity] Sorting the Word Count Results.srt

12.1 word-count-better-sorted.py

13. [Exercise] Find the Total Amount Spent by Customer.mp4

13. [Exercise] Find the Total Amount Spent by Customer.srt

13.1 customer-orders.csv.html

14. [Excercise] Check your Results, and Now Sort them by Total Amount Spent..mp4

14. [Excercise] Check your Results, and Now Sort them by Total Amount Spent..srt

14.1 total-spent-by-customer.py

14.2 customer-orders.csv.html

15. Check Your Sorted Implementation and Results Against Mine..mp4

15. Check Your Sorted Implementation and Results Against Mine..srt

15.1 total-spent-by-customer-sorted.py

15.2 customer-orders.csv.html

2. Introduction to Spark.mp4

2. Introduction to Spark.srt

3. The Resilient Distributed Dataset (RDD).mp4

3. The Resilient Distributed Dataset (RDD).srt

4. Ratings Histogram Walkthrough.mp4

4. Ratings Histogram Walkthrough.srt

4.1 ratings-counter.py

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

5. KeyValue RDD's, and the Average Friends by Age Example.srt

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

6. [Activity] Running the Average Friends by Age Example.srt

6.1 friends-by-age.py

6.2 fakefriends.csv.html

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

7. Filtering RDD's, and the Minimum Temperature by Location Example.srt

7.1 1800.csv.html

7.2 min-temperatures.py

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

8. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.srt

8.1 min-temperatures.py

8.2 1800.csv.html

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

9. [Activity] Running the Maximum Temperature by Location Example.srt

9.1 max-temperatures.py

/3. SparkSQL, DataFrames, and DataSets/

1. Introducing SparkSQL.mp4

1. Introducing SparkSQL.srt

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

2. [Activity] Executing SQL commands and SQL-style functions on a DataFrame.srt

2.1 spark-sql.py

2.2 fakefriends.csv

3. Using DataFrames instead of RDD's.mp4

3. Using DataFrames instead of RDD's.srt

3.1 fakefriends-header.csv

3.2 spark-sql-dataframe.py

4. [Exercise] Friends by Age, with DataFrames.mp4

4. [Exercise] Friends by Age, with DataFrames.srt

4.1 fakefriends-header.csv

5. Exercise Solution Friends by Age, with DataFrames.mp4

5. Exercise Solution Friends by Age, with DataFrames.srt

5.1 fakefriends-header.csv

5.2 friends-by-age-dataframe.py

6. [Activity] Word Count, with DataFrames.mp4

6. [Activity] Word Count, with DataFrames.srt

6.1 book.txt

6.2 word-count-better-sorted-dataframe.py

7. [Activity] Minimum Temperature, with DataFrames (using a custom schema).mp4

7. [Activity] Minimum Temperature, with DataFrames (using a custom schema).srt

7.1 min-temperatures-dataframe.py

7.2 1800.csv

8. [Exercise] Implement Total Spent by Customer with DataFrames.mp4

8. [Exercise] Implement Total Spent by Customer with DataFrames.srt

8.1 customer-orders.csv

9. Exercise Solution Total Spent by Customer, with DataFrames.mp4

9. Exercise Solution Total Spent by Customer, with DataFrames.srt

9.1 customer-orders.csv

9.2 total-spent-customer-sorted-dataframe.py

/4. Advanced Examples of Spark Programs/

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

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

1.1 popular-movies-dataframe.py

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

10. Item-Based Collaborative Filtering in Spark, cache(), and persist().srt

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

11. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.srt

11.1 movie-similarities-dataframe.py

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

12. [Exercise] Improve the Quality of Similar Movies.srt

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

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

2.1 popular-movies-nice-dataframe.py

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

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

3.1 most-popular-superhero-dataframe.py

3.2 Marvel Names.txt

3.3 Marvel Graph.txt

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

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

4.1 most-popular-superhero-dataframe.py

4.2 Marvel Graph.txt

4.3 Marvel Names.txt

5. [Exercise] Find the Most Obscure Superheroes.mp4

5. [Exercise] Find the Most Obscure Superheroes.srt

6. Exercise Solution Most Obscure Superheroes.mp4

6. Exercise Solution Most Obscure Superheroes.srt

6.1 most-obscure-superheroes.py

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

7. Superhero Degrees of Separation Introducing Breadth-First Search.srt

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

8. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.srt

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

9. [Activity] Superhero Degrees of Separation Review the Code and Run it.srt

9.1 degrees-of-separation.py

/5. Running Spark on a Cluster/

1. Introducing Elastic MapReduce.mp4

1. Introducing Elastic MapReduce.srt

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

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

3. Partitioning.mp4

3. Partitioning.srt

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

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

4.1 movie-similarities-1m.py

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

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

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

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

7. Troubleshooting Spark on a Cluster.mp4

7. Troubleshooting Spark on a Cluster.srt

8. More Troubleshooting, and Managing Dependencies.mp4

8. More Troubleshooting, and Managing Dependencies.srt

/6. Machine Learning with Spark ML/

1. Introducing MLLib.mp4

1. Introducing MLLib.srt

2. [Activity] Using Spark ML to Produce Movie Recommendations.mp4

2. [Activity] Using Spark ML to Produce Movie Recommendations.srt

2.1 movie-recommendations-als-dataframe.py

3. Analyzing the ALS Recommendations Results.mp4

3. Analyzing the ALS Recommendations Results.srt

4. [Activity] Linear Regression with Spark ML.mp4

4. [Activity] Linear Regression with Spark ML.srt

4.1 regression.txt

4.2 spark-linear-regression.py

5. [Exercise] Using Decision Trees in Spark ML to Predict Real Estate Prices.mp4

5. [Exercise] Using Decision Trees in Spark ML to Predict Real Estate Prices.srt

5.1 realestate.csv

6. Exercise Solution Decision Trees with Spark.mp4

6. Exercise Solution Decision Trees with Spark.srt

6.1 realestate.csv

6.2 real-estate.py

/7. Spark Streaming, Structured Streaming, and GraphX/

1. Spark Streaming.mp4

1. Spark Streaming.srt

2. [Activity] Structured Streaming in Python.mp4

2. [Activity] Structured Streaming in Python.srt

2.1 structured-streaming.py

2.2 access_log.txt

3. [Exercise] Use Windows with Structured Streaming to Track Most-Viewed URL's.mp4

3. [Exercise] Use Windows with Structured Streaming to Track Most-Viewed URL's.srt

3.1 access_log.txt

4. Exercise Solution Using Structured Streaming with Windows.mp4

4. Exercise Solution Using Structured Streaming with Windows.srt

4.1 top-urls.py

4.2 access_log.txt

5. GraphX.mp4

5. GraphX.srt

/8. You Made It! Where to Go from Here/

1. Learning More about Spark and Data Science.mp4

1. Learning More about Spark and Data Science.srt

2. Bonus Lecture More courses to explore!.html

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