[DesireCourse.Net] Udemy - Apache Spark with Java - Hands On!

磁力链接/BT种子名称

[DesireCourse.Net] Udemy - Apache Spark with Java - Hands On!

磁力链接/BT种子简介

种子哈希：06c11e2f8f33d65a6f270808134939d2c1d3a3df
文件大小： 7.95G
已经下载：3849次
下载速度：极快
收录时间：2020-02-15
最近下载：2025-10-03

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磁力链接

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文件列表

  • 4. Running Spark Jobs on the Cloud/1.1 Reddit_2011-large.json.json 3.9 GB
  • 2. Spark Java Dataset API Basics/4. Union Dataframes and Other Set Transformations.mp4 378.5 MB
  • 4. Running Spark Jobs on the Cloud/1. Using Spark to Analyze Reddit Comments.mp4 338.6 MB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/4. Joining Dataframes and Using Various Filter Transformations.mp4 278.9 MB
  • 6. Machine Learning with Spark MLlib/3. Spark Java Linear Regression Example.mp4 277.5 MB
  • 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.mp4 255.7 MB
  • 5. Spark Streaming Applications/1. Streaming Network Socket Example.mp4 255.6 MB
  • 1. Introduction/5. First Spark Application.mp4 251.8 MB
  • 2. Spark Java Dataset API Basics/1. Ingesting CSV and JSON Files.mp4 245.6 MB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/2. Using Datasets with User Defined POJOs.mp4 224.7 MB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/6. More on Transformations, Actions and the DAG.mp4 207.3 MB
  • 4. Running Spark Jobs on the Cloud/2. Running the Reddit Spark Application on an EMR Cluster.mp4 204.5 MB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/3. Using Datasets with Unstructured Textual Data.mp4 202.4 MB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/1. Map and Reduce Transformation Functions.mp4 195.2 MB
  • 6. Machine Learning with Spark MLlib/5. Spark Java Logistic Regression (Classification Algorithm).mp4 194.1 MB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/5. Aggregation Transformations + Join Assignment.mp4 175.3 MB
  • 4. Running Spark Jobs on the Cloud/1.2 Reddit_2007-small.json.json 151.7 MB
  • 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.mp4 140.1 MB
  • 6. Machine Learning with Spark MLlib/7. Spark Java K-Means Clustering Example.mp4 135.8 MB
  • 2. Spark Java Dataset API Basics/5. Converting Between Datasets and Dataframes.mp4 130.8 MB
  • 1. Introduction/3. Creating a Spark Maven Project.mp4 121.3 MB
  • 5. Spark Streaming Applications/2. Stock Market Files Streaming Example.mp4 83.9 MB
  • 1. Introduction/4. Import Source Code into Eclipse.mp4 55.9 MB
  • 1. Introduction/6. Spark Standalone Cluster Architecture.mp4 44.0 MB
  • 1. Introduction/1. Why Spark.mp4 35.3 MB
  • 6. Machine Learning with Spark MLlib/2. Overview of Linear Regression.mp4 34.6 MB
  • 6. Machine Learning with Spark MLlib/6. Overview of K-Means Clustering.mp4 33.3 MB
  • 1. Introduction/2. Spark High Level Components.mp4 14.6 MB
  • 5. Spark Streaming Applications/2.1 STOCKMARKET_csv_2.zip.zip 3.6 MB
  • 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.mp4.jpg 90.9 kB
  • 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.mp4.jpg 76.2 kB
  • 2. Spark Java Dataset API Basics/4. Union Dataframes and Other Set Transformations.vtt 37.0 kB
  • 4. Running Spark Jobs on the Cloud/1. Using Spark to Analyze Reddit Comments.vtt 34.8 kB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/4. Joining Dataframes and Using Various Filter Transformations.vtt 29.9 kB
  • 2. Spark Java Dataset API Basics/1. Ingesting CSV and JSON Files.vtt 28.9 kB
  • 5. Spark Streaming Applications/1. Streaming Network Socket Example.vtt 28.8 kB
  • 6. Machine Learning with Spark MLlib/3. Spark Java Linear Regression Example.vtt 28.4 kB
  • 1. Introduction/5. First Spark Application.vtt 27.9 kB
  • 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.vtt 27.1 kB
  • 4. Running Spark Jobs on the Cloud/2. Running the Reddit Spark Application on an EMR Cluster.vtt 26.9 kB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/2. Using Datasets with User Defined POJOs.vtt 23.8 kB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/3. Using Datasets with Unstructured Textual Data.vtt 23.8 kB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/6. More on Transformations, Actions and the DAG.vtt 23.6 kB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/1. Map and Reduce Transformation Functions.vtt 22.0 kB
  • 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.vtt 19.4 kB
  • 6. Machine Learning with Spark MLlib/5. Spark Java Logistic Regression (Classification Algorithm).vtt 18.9 kB
  • 2. Spark Java Dataset API Basics/5. Converting Between Datasets and Dataframes.vtt 18.5 kB
  • 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/5. Aggregation Transformations + Join Assignment.vtt 17.5 kB
  • 1. Introduction/6. Spark Standalone Cluster Architecture.vtt 16.1 kB
  • 6. Machine Learning with Spark MLlib/7.1 Wholesale customers data.csv.csv 15.0 kB
  • 1. Introduction/3. Creating a Spark Maven Project.vtt 12.9 kB
  • 6. Machine Learning with Spark MLlib/7. Spark Java K-Means Clustering Example.vtt 12.7 kB
  • 1. Introduction/1. Why Spark.vtt 10.9 kB
  • 6. Machine Learning with Spark MLlib/6. Overview of K-Means Clustering.vtt 10.1 kB
  • 5. Spark Streaming Applications/2. Stock Market Files Streaming Example.vtt 9.3 kB
  • 1. Introduction/4. Import Source Code into Eclipse.vtt 8.1 kB
  • 6. Machine Learning with Spark MLlib/2. Overview of Linear Regression.vtt 8.0 kB
  • 1. Introduction/2. Spark High Level Components.vtt 5.7 kB
  • 6. Machine Learning with Spark MLlib/4. Overview of Logistic Regression.html 3.6 kB
  • 4. Running Spark Jobs on the Cloud/3. Instructions for Configuring a Spark Stand-alone Cluster.html 2.9 kB
  • 6. Machine Learning with Spark MLlib/5.1 cryotherapy.csv.csv 2.2 kB
  • 6. Machine Learning with Spark MLlib/1. Machine Learning Resources.html 1.3 kB
  • 6. Machine Learning with Spark MLlib/8. Get Access to All of my current and future courses!.html 1.0 kB
  • 2. Spark Java Dataset API Basics/2. How to reduce logging in the console.html 858 Bytes
  • 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.txt 246 Bytes
  • 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.txt 243 Bytes
  • 6. Machine Learning with Spark MLlib/3.1 marketing_vs_sales.csv.csv 230 Bytes
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

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