DesireCourse Net Udemy Taming Big Data with Apache Spark and Python Hands On

DesireCourse Net Udemy Taming Big Data with Apache Spark and Python Hands On

Name	[DesireCourse.Net] Udemy - Taming Big Data with Apache Spark and Python - Hands On!	DOWNLOAD Copy Link
Total Size	2.4 GB
Total Files	150
Hash	E3E0D3E811AB423E5F1A8EEBD789F76D2D1CCA4F

/1. Getting Started with Spark/
1. Introduction.mp4	37.6 MB
1. Introduction.vtt	4.0 KB
2. How to Use This Course.mp4	12.1 MB
2. How to Use This Course.vtt	3.0 KB
3. Udemy 101 Getting the Most From This Course.mp4	20.7 MB
3. Udemy 101 Getting the Most From This Course.vtt	3.6 KB
4. Warning about Java 11 and Spark 2.4.0!.html	0.9 KB
5. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4	249.5 MB
5. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..vtt	29.4 KB
5. [Activity]Getting Set Up Installing Python..vtt	29.4 KB
5. [Activity]Getting Set Up Installing Python.mp4	249.5 MB
5.1 Apache Spark.html	0.1 KB
5.2 winutils.exe.html	0.1 KB
5.3 Enthought Canopy.html	0.1 KB
5.4 GETTING STARTED - installation steps.html	0.1 KB
5.5 JDK.html	0.1 KB
6. [Activity] Installing the MovieLens Movie Rating Dataset.mp4	24.3 MB
6. [Activity] Installing the MovieLens Movie Rating Dataset.vtt	5.4 KB
7. [Activity] Run your first Spark program! Ratings histogram example..mp4	30.7 MB
7. [Activity] Run your first Spark program! Ratings histogram example..vtt	7.5 KB
7.1 ratings-counter.py.py	0.5 KB
/2. Spark Basics and Simple Examples/
1. Introduction to Spark.mp4	35.6 MB
1. Introduction to Spark.vtt	16.2 KB
10. [Activity] Improving the Word Count Script with Regular Expressions.mp4	24.9 MB
10. [Activity] Improving the Word Count Script with Regular Expressions.vtt	7.0 KB
10.1 word-count-better.py.py	0.5 KB
10.Improving the Word Count Script with Regular Expressions.mp4	24.9 MB
10.Improving the Word Count Script with Regular Expressions.vtt	7.0 KB
11. [Activity] Sorting the Word Count Results.mp4	34.5 MB
11. [Activity] Sorting the Word Count Results.vtt	11.7 KB
11.1 word-count-better-sorted.py.py	0.7 KB
12. Tally up amount spent by customer using Spark.html	0.1 KB
13. Sort your results by amount spent per customer.html	0.1 KB
2. The Resilient Distributed Dataset (RDD).mp4	37.7 MB
2. The Resilient Distributed Dataset (RDD).vtt	18.0 KB
3. Ratings Histogram Walkthrough.mp4	46.9 MB
3. Ratings Histogram Walkthrough.vtt	19.3 KB
3.1 ratings-counter.py.py	0.5 KB
4. KeyValue RDD's, and the Average Friends by Age Example.mp4	64.7 MB
4. KeyValue RDD's, and the Average Friends by Age Example.vtt	24.5 KB
5. [Activity] Running the Average Friends by Age Example.mp4	22.4 MB
5. [Activity] Running the Average Friends by Age Example.vtt	8.5 KB
5.1 fakefriends.csv.html	0.1 KB
5.2 friends-by-age.py.py	0.6 KB
6. Filtering RDD's, and the Minimum Temperature by Location Example.mp4	32.4 MB
6. Filtering RDD's, and the Minimum Temperature by Location Example.vtt	12.5 KB
6.1 min-temperatures.py.py	0.7 KB
6.2 1800.csv.html	0.1 KB
7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp4	34.5 MB
7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.vtt	8.1 KB
7. [Activity]Running the Minimum Temperature Example.mp4	34.5 MB
7. [Activity]Running the Minimum Temperature Example.vtt	8.1 KB
7.1 min-temperatures.py.py	0.7 KB
7.2 1800.csv.html	0.1 KB
8. [Activity] Running the Maximum Temperature by Location Example.mp4	23.2 MB
8. [Activity] Running the Maximum Temperature by Location Example.vtt	5.6 KB
8.1 max-temperatures.py.py	0.7 KB
9. [Activity] Counting Word Occurrences using flatmap().mp4	30.8 MB
9. [Activity] Counting Word Occurrences using flatmap().vtt	11.9 KB
9.1 word-count.py.py	0.4 KB
9.2 Book.txt	264.9 KB
/3. Advanced Examples of Spark Programs/
1. [Activity] Find the Most Popular Movie.mp4	32.7 MB
1. [Activity] Find the Most Popular Movie.vtt	8.7 KB
1.1 popular-movies.py.py	0.5 KB
10. [Exercise] Improve the Quality of Similar Movies.mp4	21.6 MB
10. [Exercise] Improve the Quality of Similar Movies.vtt	5.6 KB
2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp4	40.8 MB
2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.vtt	12.3 KB
2.1 popular-movies-nicer.py.py	0.9 KB
3. Find the Most Popular Superhero in a Social Graph.mp4	26.2 MB
3. Find the Most Popular Superhero in a Social Graph.vtt	7.0 KB
3.1 Marvel Graph.txt	1.7 MB
3.2 most-popular-superhero.py.py	0.9 KB
3.3 Marvel Names.txt	351.8 KB
4. Run the Script - Discover Who the Most Popular Superhero is!.mp4	40.8 MB
4. Run the Script - Discover Who the Most Popular Superhero is!.vtt	8.7 KB
4. Run the Script.mp4	30.4 MB
4. Run the Script.vtt	12.3 KB
4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp4	30.4 MB
4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.vtt	8.7 KB
4.1 most-popular-superhero.py.py	0.9 KB
4.2 Marvel Graph.txt	1.7 MB
4.3 Marvel Names.txt	351.8 KB
5. Superhero Degrees of Separation Introducing Breadth-First Search.mp4	40.1 MB
5. Superhero Degrees of Separation Introducing Breadth-First Search.vtt	12.7 KB
5. Superhero Degrees of Separation Introducing Breadth.mp4	40.1 MB
5. Superhero Degrees of Separation Introducing Breadth.vtt	12.7 KB
6. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp4	27.2 MB
6. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.vtt	10.2 KB
6. Superhero Degrees of Separation Accumulators.mp4	27.2 MB
6. Superhero Degrees of Separation Accumulators.vtt	10.2 KB
7. Superhero Degrees of Separation Review the Code and Run it.mp4	57.9 MB
7. Superhero Degrees of Separation Review the Code and Run it.vtt	13.8 KB
7. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp4	57.9 MB
7. [Activity] Superhero Degrees of Separation Review the Code and Run it.vtt	13.8 KB
7.1 degrees-of-separation.py.py	3.7 KB
8. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4	48.8 MB
8. Item-Based Collaborative Filtering in Spark, cache(), and persist().vtt	17.0 KB
8. Item-Based Collaborative Filtering in Spark.mp4	48.8 MB
8. Item-Based Collaborative Filtering in Spark.vtt	17.0 KB
9. Running the Similar Movies Script using Spark's Cluster Manager.mp4	60.5 MB
9. Running the Similar Movies Script using Spark's Cluster Manager.vtt	17.1 KB
9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4	60.5 MB
9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.vtt	17.1 KB
9.1 movie-similarities.py.py	3.6 KB
/4. Running Spark on a Cluster/
1. Introducing Elastic MapReduce.mp4	30.4 MB
1. Introducing Elastic MapReduce.vtt	8.2 KB
2. Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4	68.8 MB
2. Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.vtt	15.5 KB
2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4	68.8 MB
2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.vtt	15.5 KB
3. Partitioning.mp4	25.8 MB
3. Partitioning.vtt	6.6 KB
4. Create Similar Movies from One Million Ratings - Part 1.mp4	30.2 MB
4. Create Similar Movies from One Million Ratings - Part 1.vtt	7.8 KB
4.1 movie-similarities-1m.py.py	3.7 KB
5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4	63.1 MB
5. [Activity] Create Similar Movies from One Million Ratings - Part 2.vtt	16.0 KB
6. Create Similar Movies from One Million Ratings - Part 3.mp4	32.2 MB
6. Create Similar Movies from One Million Ratings - Part 3.vtt	5.8 KB
7. Troubleshooting Spark on a Cluster.mp4	23.4 MB
7. Troubleshooting Spark on a Cluster.vtt	5.9 KB
8. More Troubleshooting, and Managing Dependencies.mp4	31.2 MB
8. More Troubleshooting, and Managing Dependencies.vtt	9.8 KB
/5. SparkSQL, DataFrames, and DataSets/
1. Introducing SparkSQL.mp4	25.6 MB
1. Introducing SparkSQL.vtt	9.5 KB
2. Executing SQL commands and SQL-style functions on a DataFrame.mp4	32.6 MB
2. Executing SQL commands and SQL-style functions on a DataFrame.vtt	12.9 KB
2.1 spark-sql.py.py	1.1 KB
3. Using DataFrames instead of RDD's.mp4	20.8 MB
3. Using DataFrames instead of RDD's.vtt	9.3 KB
3.1 popular-movies-dataframe.py.py	1.4 KB
/6. Other Spark Technologies and Libraries/
1. Introducing MLLib.mp4	33.8 MB
1. Introducing MLLib.vtt	12.6 KB
2. [Activity] Using MLLib to Produce Movie Recommendations.mp4	17.1 MB
2. [Activity] Using MLLib to Produce Movie Recommendations.vtt	4.4 KB
2.1 movie-recommendations-als.py.py	1.5 KB
3. Analyzing the ALS Recommendations Results.mp4	36.8 MB
3. Analyzing the ALS Recommendations Results.vtt	7.9 KB
4. Using DataFrames with MLLib.mp4	30.1 MB
4. Using DataFrames with MLLib.vtt	11.9 KB
4.1 regression.txt.txt	12.0 KB
4.2 spark-linear-regression.py.py	12.3 KB
5. Spark Streaming and GraphX.mp4	37.3 MB
5. Spark Streaming and GraphX.vtt	11.9 KB
/7. You Made It! Where to Go from Here/
1. Learning More about Spark and Data Science.mp4	73.2 MB
1. Learning More about Spark and Data Science.vtt	7.6 KB
2. Bonus Lecture Discounts to continue your journey!.html	7.0 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
Total files 150