种子简介
种子名称：
[DesireCourse.Net] Udemy - Taming Big Data with Apache Spark 3 and Python - Hands On!
文件类型：
视频
文件数目：
46个文件
文件大小：
1.84 GB
收录时间：
2021-10-22 23:12
已经下载：
3次
资源热度：
255
最近下载：
2024-11-22 14:09
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种子包含的文件
[DesireCourse.Net] Udemy - Taming Big Data with Apache Spark 3 and Python - Hands On!.torrent
1. Getting Started with Spark/1. Introduction.mp49.14MB
1. Getting Started with Spark/2. How to Use This Course.mp411.53MB
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..mp4223.05MB
1. Getting Started with Spark/5. [Activity] Installing the MovieLens Movie Rating Dataset.mp47.88MB
1. Getting Started with Spark/6. [Activity] Run your first Spark program! Ratings histogram example..mp466.17MB
2. Spark Basics and Simple Examples/1. Introduction to Spark.mp433.96MB
2. Spark Basics and Simple Examples/10. [Activity] Improving the Word Count Script with Regular Expressions.mp423.76MB
2. Spark Basics and Simple Examples/11. [Activity] Sorting the Word Count Results.mp432.89MB
2. Spark Basics and Simple Examples/2. The Resilient Distributed Dataset (RDD).mp435.96MB
2. Spark Basics and Simple Examples/3. Ratings Histogram Walkthrough.mp479.98MB
2. Spark Basics and Simple Examples/4. KeyValue RDD's, and the Average Friends by Age Example.mp461.74MB
2. Spark Basics and Simple Examples/5. [Activity] Running the Average Friends by Age Example.mp447.51MB
2. Spark Basics and Simple Examples/6. Filtering RDD's, and the Minimum Temperature by Location Example.mp430.86MB
2. Spark Basics and Simple Examples/7. [Activity]Running the Minimum Temperature Example, and Modifying it for Maximums.mp455.49MB
2. Spark Basics and Simple Examples/8. [Activity] Running the Maximum Temperature by Location Example.mp422.09MB
2. Spark Basics and Simple Examples/9. [Activity] Counting Word Occurrences using flatmap().mp429.37MB
3. Advanced Examples of Spark Programs/1. [Activity] Find the Most Popular Movie.mp431.21MB
3. Advanced Examples of Spark Programs/10. [Exercise] Improve the Quality of Similar Movies.mp420.6MB
3. Advanced Examples of Spark Programs/2. [Activity] Use Broadcast Variables to Display Movie Names Instead of ID Numbers.mp438.86MB
3. Advanced Examples of Spark Programs/3. Find the Most Popular Superhero in a Social Graph.mp425.03MB
3. Advanced Examples of Spark Programs/4. [Activity] Run the Script - Discover Who the Most Popular Superhero is!.mp429.03MB
3. Advanced Examples of Spark Programs/5. Superhero Degrees of Separation Introducing Breadth-First Search.mp438.24MB
3. Advanced Examples of Spark Programs/6. Superhero Degrees of Separation Accumulators, and Implementing BFS in Spark.mp425.94MB
3. Advanced Examples of Spark Programs/7. [Activity] Superhero Degrees of Separation Review the Code and Run it.mp492.52MB
3. Advanced Examples of Spark Programs/8. Item-Based Collaborative Filtering in Spark, cache(), and persist().mp446.59MB
3. Advanced Examples of Spark Programs/9. [Activity] Running the Similar Movies Script using Spark's Cluster Manager.mp457.69MB
4. Running Spark on a Cluster/1. Introducing Elastic MapReduce.mp428.99MB
4. Running Spark on a Cluster/2. [Activity] Setting up your AWS Elastic MapReduce Account and Setting Up PuTTY.mp465.61MB
4. Running Spark on a Cluster/3. Partitioning.mp424.56MB
4. Running Spark on a Cluster/4. Create Similar Movies from One Million Ratings - Part 1.mp428.84MB
4. Running Spark on a Cluster/5. [Activity] Create Similar Movies from One Million Ratings - Part 2.mp460.13MB
4. Running Spark on a Cluster/6. Create Similar Movies from One Million Ratings - Part 3.mp430.67MB
4. Running Spark on a Cluster/7. Troubleshooting Spark on a Cluster.mp422.29MB
4. Running Spark on a Cluster/8. More Troubleshooting, and Managing Dependencies.mp429.77MB
5. SparkSQL, DataFrames, and DataSets/1. Introducing SparkSQL.mp424.38MB
5. SparkSQL, DataFrames, and DataSets/2. Executing SQL commands and SQL-style functions on a DataFrame.mp431.09MB
5. SparkSQL, DataFrames, and DataSets/3. Using DataFrames instead of RDD's.mp419.85MB
6. Other Spark Technologies and Libraries/1. Introducing MLLib.mp432.22MB
6. Other Spark Technologies and Libraries/2. [Activity] Using MLLib to Produce Movie Recommendations.mp416.32MB
6. Other Spark Technologies and Libraries/3. Analyzing the ALS Recommendations Results.mp435.07MB
6. Other Spark Technologies and Libraries/4. Using DataFrames with MLLib.mp428.66MB
6. Other Spark Technologies and Libraries/5. Spark Streaming.mp444.96MB
6. Other Spark Technologies and Libraries/6. [Activity] Structured Streaming in Python.mp480.98MB
6. Other Spark Technologies and Libraries/7. GraphX.mp412.04MB
7. You Made It! Where to Go from Here/1. Learning More about Spark and Data Science.mp469.82MB
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