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[FreeCourseSite.com] Udemy - Taming Big Data with Apache Spark and Python - Hands On!

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种子名称: [FreeCourseSite.com] Udemy - Taming Big Data with Apache Spark and Python - Hands On!
文件类型: 视频
文件数目: 62个文件
文件大小: 3.57 GB
收录时间: 2021-5-13 21:00
已经下载: 3
资源热度: 191
最近下载: 2024-5-24 16:05

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[FreeCourseSite.com] Udemy - Taming Big Data with Apache Spark and Python - Hands On!.torrent
  • 1. Getting Started with Spark/1. Introduction.mp435.48MB
  • 1. Getting Started with Spark/2. How to Use This Course.mp411.35MB
  • 1. Getting Started with Spark/3. Udemy 101 Getting the Most From This Course.mp419.74MB
  • 1. Getting Started with Spark/4. [Activity]Getting Set Up Installing Python, a JDK, Spark, and its Dependencies..mp4227.08MB
  • 1. Getting Started with Spark/5. [Activity] Installing the MovieLens Movie Rating Dataset.mp445.38MB
  • 1. Getting Started with Spark/6. [Activity] Run your first Spark program! Ratings histogram example..mp465.82MB
  • 2. Spark Basics and the RDD Interface/1. What's new in Spark 3.mp4151.64MB
  • 2. Spark Basics and the RDD Interface/10. [Activity] Counting Word Occurrences using flatmap().mp454.35MB
  • 2. Spark Basics and the RDD Interface/11. [Activity] Improving the Word Count Script with Regular Expressions.mp440.4MB
  • 2. Spark Basics and the RDD Interface/12. [Activity] Sorting the Word Count Results.mp457.54MB
  • 2. Spark Basics and the RDD Interface/13. [Exercise] Find the Total Amount Spent by Customer.mp431.22MB
  • 2. Spark Basics and the RDD Interface/14. [Excercise] Check your Results, and Now Sort them by Total Amount Spent..mp449.21MB
  • 2. Spark Basics and the RDD Interface/15. Check Your Sorted Implementation and Results Against Mine..mp424.7MB
  • 2. Spark Basics and the RDD Interface/2. Introduction to Spark.mp458.3MB
  • 2. Spark Basics and the RDD Interface/3. The Resilient Distributed Dataset (RDD).mp468.76MB
  • 2. Spark Basics and the RDD Interface/4. Ratings Histogram Walkthrough.mp483.05MB
  • 2. Spark Basics and the RDD Interface/5. KeyValue RDD's, and the Average Friends by Age Example.mp4110.31MB
  • 2. Spark Basics and the RDD Interface/6. [Activity] Running the Average Friends by Age Example.mp449.16MB
  • 2. Spark Basics and the RDD Interface/7. Filtering RDD's, and the Minimum Temperature by Location Example.mp454.45MB
  • 2. Spark Basics and the RDD Interface/8. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp456.24MB
  • 2. Spark Basics and the RDD Interface/9. [Activity] Running the Maximum Temperature by Location Example.mp437.29MB
  • 3. SparkSQL, DataFrames, and DataSets/1. Introducing SparkSQL.mp449.81MB
  • 3. SparkSQL, DataFrames, and DataSets/2. [Activity] Executing SQL commands and SQL-style functions on a DataFrame.mp467.08MB
  • 3. SparkSQL, DataFrames, and DataSets/3. Using DataFrames instead of RDD's.mp460.26MB
  • 3. SparkSQL, DataFrames, and DataSets/4. [Exercise] Friends by Age, with DataFrames.mp47.8MB
  • 3. SparkSQL, DataFrames, and DataSets/5. Exercise Solution Friends by Age, with DataFrames.mp471.61MB
  • 3. SparkSQL, DataFrames, and DataSets/6. [Activity] Word Count, with DataFrames.mp463.24MB
  • 3. SparkSQL, DataFrames, and DataSets/7. [Activity] Minimum Temperature, with DataFrames (using a custom schema).mp493.63MB
  • 3. SparkSQL, DataFrames, and DataSets/8. [Exercise] Implement Total Spent by Customer with DataFrames.mp49.32MB
  • 3. SparkSQL, DataFrames, and DataSets/9. Exercise Solution Total Spent by Customer, with DataFrames.mp432.41MB
  • 4. Advanced Examples of Spark Programs/1. [Activity] Find the Most Popular Movie.mp430.57MB
  • 4. Advanced Examples of Spark Programs/10. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp434.35MB
  • 4. Advanced Examples of Spark Programs/11. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp4138.2MB
  • 4. Advanced Examples of Spark Programs/12. [Exercise] Improve the Quality of Similar Movies.mp433.96MB
  • 4. Advanced Examples of Spark Programs/2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp490.65MB
  • 4. Advanced Examples of Spark Programs/3. Find the Most Popular Superhero in a Social Graph.mp419.73MB
  • 4. Advanced Examples of Spark Programs/4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp487.61MB
  • 4. Advanced Examples of Spark Programs/5. [Exercise] Find the Most Obscure Superheroes.mp411.27MB
  • 4. Advanced Examples of Spark Programs/6. Exercise Solution Most Obscure Superheroes.mp441.46MB
  • 4. Advanced Examples of Spark Programs/7. Superhero Degrees of Separation Introducing Breadth-First Search.mp461.81MB
  • 4. Advanced Examples of Spark Programs/8. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp447.88MB
  • 4. Advanced Examples of Spark Programs/9. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp493.99MB
  • 5. Running Spark on a Cluster/1. Introducing Elastic MapReduce.mp448.01MB
  • 5. Running Spark on a Cluster/2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp4112.66MB
  • 5. Running Spark on a Cluster/3. Partitioning.mp440.88MB
  • 5. Running Spark on a Cluster/4. Create Similar Movies from One Million Ratings - Part 1.mp451.1MB
  • 5. Running Spark on a Cluster/5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp4104.28MB
  • 5. Running Spark on a Cluster/6. Create Similar Movies from One Million Ratings - Part 3.mp450.6MB
  • 5. Running Spark on a Cluster/7. Troubleshooting Spark on a Cluster.mp437.49MB
  • 5. Running Spark on a Cluster/8. More Troubleshooting, and Managing Dependencies.mp454.73MB
  • 6. Machine Learning with Spark ML/1. Introducing MLLib.mp430.93MB
  • 6. Machine Learning with Spark ML/2. [Activity] Using Spark ML to Produce Movie Recommendations.mp4100.5MB
  • 6. Machine Learning with Spark ML/3. Analyzing the ALS Recommendations Results.mp430.03MB
  • 6. Machine Learning with Spark ML/4. [Activity] Linear Regression with Spark ML.mp4101.54MB
  • 6. Machine Learning with Spark ML/5. [Exercise] Using Decision Trees in Spark ML to Predict Real Estate Prices.mp434.2MB
  • 6. Machine Learning with Spark ML/6. Exercise Solution Decision Trees with Spark.mp459MB
  • 7. Spark Streaming, Structured Streaming, and GraphX/1. Spark Streaming.mp444.97MB
  • 7. Spark Streaming, Structured Streaming, and GraphX/2. [Activity] Structured Streaming in Python.mp480.99MB
  • 7. Spark Streaming, Structured Streaming, and GraphX/3. [Exercise] Use Windows with Structured Streaming to Track Most-Viewed URL's.mp431.44MB
  • 7. Spark Streaming, Structured Streaming, and GraphX/4. Exercise Solution Using Structured Streaming with Windows.mp466.63MB
  • 7. Spark Streaming, Structured Streaming, and GraphX/5. GraphX.mp412.05MB
  • 8. You Made It! Where to Go from Here/1. Learning More about Spark and Data Science.mp482.96MB