Udemy - Apache Spark with Scala – Hands On with Big Data!

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[FreeAllCourse.Com] Udemy - Apache Spark with Scala - Hands On with Big Data! 1. Getting Started
  • 1. Tip Apply for a Twitter Developer Account now!.html (1.4 KB)
  • 2. Udemy 101 Getting the Most From This Course.mp4 (19.7 MB)
  • 2. Udemy 101 Getting the Most From This Course.srt (4.0 KB)
  • 3. Introduction, and Getting Set Up.mp4 (184.1 MB)
  • 3. Introduction, and Getting Set Up.srt (27.8 KB)
  • 3.1 JDK install site.html (0.1 KB)
  • 3.2 Spark download site.html (0.1 KB)
  • 3.3 winutils.exe.html (0.1 KB)
  • 3.4 Scala IDE download site.html (0.1 KB)
  • 3.5 Installing Spark on MacOS.html (0.1 KB)
  • 4. [Activity] Create a Histogram of Real Movie Ratings with Spark!.mp4 (119.3 MB)
  • 4. [Activity] Create a Histogram of Real Movie Ratings with Spark!.srt (23.7 KB)
  • 4.1 Course Materials.html (0.1 KB)
  • 4.2 MovieLens data set.html (0.1 KB)
10. You Made It! Where to Go from Here
  • 1. Learning More, and Career Tips.mp4 (94.1 MB)
  • 1. Learning More, and Career Tips.srt (7.7 KB)
  • 1.1 Apache Spark website.html (0.1 KB)
  • 2. Bonus Lecture More courses to explore!.html (7.3 KB)
2. Scala Crash Course [Optional]
  • 1. [Activity] Scala Basics, Part 1.mp4 (224.6 MB)
  • 1. [Activity] Scala Basics, Part 1.srt (22.2 KB)
  • 1.1 LearningScala1.sc.html (0.1 KB)
  • 2. [Exercise] Scala Basics, Part 2.mp4 (155.1 MB)
  • 2. [Exercise] Scala Basics, Part 2.srt (16.5 KB)
  • 3. [Exercise] Flow Control in Scala.mp4 (83.1 MB)
  • 3. [Exercise] Flow Control in Scala.srt (12.4 KB)
  • 3.1 LearningScala2.sc.html (0.1 KB)
  • 4. [Exercise] Functions in Scala.mp4 (121.8 MB)
  • 4. [Exercise] Functions in Scala.srt (14.7 KB)
  • 4.1 LearningScala3.sc.html (0.1 KB)
  • 5. [Exercise] Data Structures in Scala.mp4 (251.1 MB)
  • 5. [Exercise] Data Structures in Scala.srt (27.5 KB)
  • 5.1 LearningScala4.sc.html (0.1 KB)
3. Spark Basics and Simple Examples
  • 1. Introduction to Spark.mp4 (150.8 MB)
  • 1. Introduction to Spark.srt (15.4 KB)
  • 10. [Activity] Improving the Word Count Script with Regular Expressions.mp4 (104.1 MB)
  • 10. [Activity] Improving the Word Count Script with Regular Expressions.srt (11.2 KB)
  • 11. [Activity] Sorting the Word Count Results.mp4 (138.4 MB)
  • 11. [Activity] Sorting the Word Count Results.srt (13.7 KB)
  • 12. [Exercise] Find the Total Amount Spent by Customer.mp4 (66.4 MB)
  • 12. [Exercise] Find the Total Amount Spent by Customer.srt (5.9 KB)
  • 13. [Exercise] Check your Results, and Sort Them by Total Amount Spent.mp4 (69.2 MB)
  • 13. [Exercise] Check your Results, and Sort Them by Total Amount Spent.srt (7.3 KB)
  • 14. Check Your Results and Implementation Against Mine.mp4 (54.2 MB)
  • 14. Check Your Results and Implementation Against Mine.srt (5.4 KB)
  • 2. The Resilient Distributed Dataset.mp4 (198.6 MB)
  • 2. The Resilient Distributed Dataset.srt (19.4 KB)
  • 3. Ratings Histogram Walkthrough.mp4 (116.7 MB)
  • 3. Ratings Histogram Walkthrough.srt (13.1 KB)
  • 4. Spark Internals.mp4 (83.8 MB)
  • 4. Spark Internals.srt (8.3 KB)
  • 5. Key Value RDD's, and the Average Friends by Age example.mp4 (208.4 MB)
  • 5. Key Value RDD's, and the Average Friends by Age example.srt (21.2 KB)
  • 6. [Activity] Running the Average Friends by Age Example.mp4 (134.4 MB)
  • 6. [Activity] Running the Average Friends by Age Example.srt (12.4 KB)
  • 7. Filtering RDD's, and the Minimum Temperature by Location Example.mp4 (107.9 MB)
  • 7. Filtering RDD's, and the Minimum Temperature by Location Example.srt (11.3 KB)
  • 8. [Activity] Running the Minimum Temperature Example, and Modifying it for Maximum.mp4 (166.0 MB)
  • 8. [Activity] Running the Minimum Temperature Example, and Modifying it for Maximum.srt (16.1 KB)
  • 9. [Activity] Counting Word Occurrences using Flatmap().mp4 (146.1 MB)
  • 9. [Activity] Counting Word Occurrences using Flatmap().srt (14.3 KB)
4. Advanced Examples of Spark Programs
  • 1. [Activity] Find the Most Popular Movie.mp4 (66.1 MB)
  • 1. [Activity] Find the Most Popular Movie.srt (7.2 KB)
  • 2. [Activity] Use Broadcast Variables to Display Movie Names.mp4 (146.4 MB)
  • 2. [Activity] Use Broadcast Variables to Display Movie Names.srt (14.5 KB)
  • 3. [Activity] Find the Most Popular Superhero in a Social Graph.mp4 (249.1 MB)
  • 3. [Activity] Find the Most Popular Superhero in a Social Graph.srt (24.0 KB)
  • 4. Superhero Degrees of Separation Introducing Breadth-First Search.mp4 (101.8 MB)
  • 4. Superhero Degrees of Separation Introducing Breadth-First Search.srt (12.5 KB)
  • 5. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp4 (94.2 MB)
  • 5. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.srt (10.1 KB)
  • 6. Superhero Degrees of Separation Review the code, and run it!.mp4 (165.9 MB)
  • 6. Superhero Degrees of Separation Review the code, and run it!.srt (17.7 KB)
  • 7. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp4 (140.6 MB)
  • 7. Item-Based Collaborative Filtering in Spark, cache(), and persist().srt (14.5 KB)
  • 8. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4 (211.5 MB)
  • 8. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.srt (23.8 KB)
  • 9. [Exercise] Improve the Quality of Similar Movies.mp4 (55.6 MB)
  • 9. [Exercise] Improve the Quality of Similar Movies.srt (5.1 KB)
5. Running Spark on a Cluster
  • 1. [Activity] Using spark-submit to run Spark driver scripts.mp4 (115.8 MB)
  • 1. [Activity] Using spark-submit to run Spark driver scripts.srt (11.6 KB)
  • 2. [Activity] Packaging driver scripts with SBT.mp4 (100.5 MB)
  • 2. [Activity] Packaging driver scripts with SBT.srt (21.6 KB)
  • 3. Introducing Amazon Elastic MapReduce.mp4 (132.0 MB)
  • 3. Introducing Amazon Elastic MapReduce.srt (13.0 KB)
  • 4. Creating Similar Movies from One Million Ratings on EMR.mp4 (135.9 MB)
  • 4. Creating Similar Movies from One Million Ratings on EMR.srt (20.4 KB)
  • 4.1 Amazon Web Services website.html (0.1 KB)
  • 5. Partitioning.mp4 (99.4 MB)
  • 5. Partitioning.srt (9.3 KB)
  • 6. Best Practices for Running on a Cluster.mp4 (102.0 MB)
  • 6. Best Practic

Description

Apache Spark with Scala – Hands On with Big Data!



Dive right in with 20+ hands-on examples of analyzing large data sets with Apache Spark, on your desktop or on Hadoop!

What you’ll learn?

Frame big data analysis problems as Apache Spark scripts
Develop distributed code using the Scala programming language
Optimize Spark jobs through partitioning, caching, and other techniques
Build, deploy, and run Spark scripts on Hadoop clusters
Process continual streams of data with Spark Streaming
Transform structured data using SparkSQL and DataFrames
Traverse and analyze graph structures using GraphX

Created by Sundog Education by Frank Kane, Frank Kane
Last updated 1/2020
English
English, French [Auto-generated]

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Udemy - Apache Spark with Scala – Hands On with Big Data!

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6.4 GB
seeders:8
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Udemy - Apache Spark with Scala – Hands On with Big Data!

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