Udemy - Apache Spark with Java - Hands On
File List
- 4. Running Spark Jobs on the Cloud/1.1 Reddit_2011-large.json.json 3.6 GB
- 2. Spark Java Dataset API Basics/4. Union Dataframes and Other Set Transformations.mp4 361.0 MB
- 4. Running Spark Jobs on the Cloud/1. Using Spark to Analyze Reddit Comments.mp4 322.9 MB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/4. Joining Dataframes and Using Various Filter Transformations.mp4 266.0 MB
- 6. Machine Learning with Spark MLlib/3. Spark Java Linear Regression Example.mp4 264.6 MB
- 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.mp4 243.8 MB
- 5. Spark Streaming Applications/1. Streaming Network Socket Example.mp4 243.8 MB
- 1. Introduction/5. First Spark Application.mp4 240.2 MB
- 2. Spark Java Dataset API Basics/1. Ingesting CSV and JSON Files.mp4 234.2 MB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/2. Using Datasets with User Defined POJOs.mp4 214.3 MB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/6. More on Transformations, Actions and the DAG.mp4 197.7 MB
- 4. Running Spark Jobs on the Cloud/2. Running the Reddit Spark Application on an EMR Cluster.mp4 195.0 MB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/3. Using Datasets with Unstructured Textual Data.mp4 193.0 MB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/1. Map and Reduce Transformation Functions.mp4 186.2 MB
- 6. Machine Learning with Spark MLlib/5. Spark Java Logistic Regression (Classification Algorithm).mp4 185.1 MB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/5. Aggregation Transformations + Join Assignment.mp4 167.2 MB
- 4. Running Spark Jobs on the Cloud/1.2 Reddit_2007-small.json.json 144.6 MB
- 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.mp4 133.6 MB
- 6. Machine Learning with Spark MLlib/7. Spark Java K-Means Clustering Example.mp4 129.6 MB
- 2. Spark Java Dataset API Basics/5. Converting Between Datasets and Dataframes.mp4 124.7 MB
- 1. Introduction/3. Creating a Spark Maven Project.mp4 115.7 MB
- 5. Spark Streaming Applications/2. Stock Market Files Streaming Example.mp4 80.0 MB
- 1. Introduction/4. Import Source Code into Eclipse.mp4 53.3 MB
- 1. Introduction/6. Spark Standalone Cluster Architecture.mp4 42.0 MB
- 1. Introduction/1. Why Spark.mp4 33.6 MB
- 6. Machine Learning with Spark MLlib/2. Overview of Linear Regression.mp4 33.0 MB
- 6. Machine Learning with Spark MLlib/6. Overview of K-Means Clustering.mp4 31.8 MB
- 1. Introduction/2. Spark High Level Components.mp4 13.9 MB
- 5. Spark Streaming Applications/2.1 STOCKMARKET_csv_2.zip.zip 3.4 MB
- 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.mp4.jpg 88.8 KB
- 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.mp4.jpg 74.4 KB
- 2. Spark Java Dataset API Basics/4. Union Dataframes and Other Set Transformations.vtt 36.1 KB
- 4. Running Spark Jobs on the Cloud/1. Using Spark to Analyze Reddit Comments.vtt 33.9 KB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/4. Joining Dataframes and Using Various Filter Transformations.vtt 29.2 KB
- 2. Spark Java Dataset API Basics/1. Ingesting CSV and JSON Files.vtt 28.2 KB
- 5. Spark Streaming Applications/1. Streaming Network Socket Example.vtt 28.1 KB
- 6. Machine Learning with Spark MLlib/3. Spark Java Linear Regression Example.vtt 27.7 KB
- 1. Introduction/5. First Spark Application.vtt 27.2 KB
- 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.vtt 26.5 KB
- 4. Running Spark Jobs on the Cloud/2. Running the Reddit Spark Application on an EMR Cluster.vtt 26.3 KB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/2. Using Datasets with User Defined POJOs.vtt 23.3 KB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/3. Using Datasets with Unstructured Textual Data.vtt 23.2 KB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/6. More on Transformations, Actions and the DAG.vtt 23.0 KB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/1. Map and Reduce Transformation Functions.vtt 21.5 KB
- 5. Spark Streaming Applications/3. Using Kafka with Spark Streaming.vtt 18.9 KB
- 6. Machine Learning with Spark MLlib/5. Spark Java Logistic Regression (Classification Algorithm).vtt 18.4 KB
- 2. Spark Java Dataset API Basics/5. Converting Between Datasets and Dataframes.vtt 18.1 KB
- 3. Diving Deeper with Datasets, Dataframes, Transformations and the DAG/5. Aggregation Transformations + Join Assignment.vtt 17.1 KB
- 1. Introduction/6. Spark Standalone Cluster Architecture.vtt 15.7 KB
- 6. Machine Learning with Spark MLlib/7.1 Wholesale customers data.csv.csv 14.7 KB
- 1. Introduction/3. Creating a Spark Maven Project.vtt 12.6 KB
- 6. Machine Learning with Spark MLlib/7. Spark Java K-Means Clustering Example.vtt 12.4 KB
- 1. Introduction/1. Why Spark.vtt 10.6 KB
- 6. Machine Learning with Spark MLlib/6. Overview of K-Means Clustering.vtt 9.9 KB
- 5. Spark Streaming Applications/2. Stock Market Files Streaming Example.vtt 9.1 KB
- 1. Introduction/4. Import Source Code into Eclipse.vtt 7.9 KB
- 6. Machine Learning with Spark MLlib/2. Overview of Linear Regression.vtt 7.8 KB
- 1. Introduction/2. Spark High Level Components.vtt 5.6 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 2.8 KB
- 6. Machine Learning with Spark MLlib/5.1 cryotherapy.csv.csv 2.1 KB
- 6. Machine Learning with Spark MLlib/1. Machine Learning Resources.html 1.2 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
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