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- 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
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- 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
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- 4. Running Spark Jobs on the Cloud/1.2 Reddit_2007-small.json.json 151.7 MB
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- 4. Running Spark Jobs on the Cloud/1.1 Reddit_2011-large.json.json 3.9 GB
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- 4. Running Spark Jobs on the Cloud/2. Running the Reddit Spark Application on an EMR Cluster.mp4 204.5 MB
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- 6. Machine Learning with Spark MLlib/5. Spark Java Logistic Regression (Classification Algorithm).mp4 194.1 MB
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- 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
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- 1. Introduction/5. First Spark Application.mp4 251.8 MB
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- 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
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- 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
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- 2. Spark Java Dataset API Basics/3. Real World Dataframes Example.mp4 255.7 MB
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- 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
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- 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
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- ~Get Your Files Here !/03 Your first Analysis. What car should Sue buy_/002 Analyzing Data.mp4 111.4 MB
- ~Get Your Files Here !/07 Table Calculations and Level of Detail Expressions/001 Create Table Calculations.mp4 97.2 MB
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- 5. Concepts - Builds and Deployments/11. Demo - Build Triggers.mp4 40.1 MB
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- 2. Pre-Requisite - Docker and Kubernetes/1. Pre-Requisite - Docker Overview.mp4 262.6 MB
- 8. Conclusion and APPENDIX/12. APPENDIX D - Setup VirtualBox.mp4 151.8 MB
- 7. Storage, Templates and Catalog/6. Demo - Create a custom Catalog.mp4 115.3 MB
- 7. Storage, Templates and Catalog/4. Demo - Deploy Example Voting Application on Openshift.mp4 86.5 MB
- 8. Conclusion and APPENDIX/3. APPENDIX A - Demo - GitLab - Setup.mp4 81.7 MB
- 8. Conclusion and APPENDIX/5. APPENDIX C - YAML Introduction.mp4 68.4 MB
- 5. Concepts - Builds and Deployments/3. Builds.mp4 63.1 MB
- 5. Concepts - Builds and Deployments/12. Deployments.mp4 60.2 MB
- 7. Storage, Templates and Catalog/3. Example Voting Application Introduction.mp4 52.3 MB
- 4. Openshift Concepts - Projects and Users/1. Projects and Users.vtt 47.0 MB
- 4. Openshift Concepts - Projects and Users/1. Projects and Users.mp4 47.0 MB
- 6. Networks, Services, Routes and Scaling/1. Networking Overview.mp4 42.1 MB
- 3. Getting Started with Openshift/7. Demo - Openshift Management.mp4 41.6 MB
- 5. Concepts - Builds and Deployments/4. Demo - Builds.mp4 40.7 MB
- 5. Concepts - Builds and Deployments/11. Demo - Build Triggers.mp4 40.1 MB
- 3. Getting Started with Openshift/4. Demo - OpenShift Setup with Minishift.mp4 39.4 MB
- 6. Networks, Services, Routes and Scaling/5. Demo - Scaling.mp4 37.7 MB
- 5. Concepts - Builds and Deployments/2. Demo - Deploy an Application.mp4 36.0 MB
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- 2. Pre-Requisite - Docker and Kubernetes/1. Pre-Requisite - Docker Overview.vtt 262.6 MB
- 2. Pre-Requisite - Docker and Kubernetes/1. Pre-Requisite - Docker Overview.mp4 262.6 MB
- 8. Conclusion and APPENDIX/12. APPENDIX D - Setup VirtualBox.mp4 151.8 MB
- 7. Storage, Templates and Catalog/6. Demo - Create a custom Catalog.mp4 115.3 MB
- 7. Storage, Templates and Catalog/4. Demo - Deploy Example Voting Application on Openshift.mp4 86.5 MB
- 8. Conclusion and APPENDIX/3. APPENDIX A - Demo - GitLab - Setup.mp4 81.7 MB
- 8. Conclusion and APPENDIX/5. APPENDIX C - YAML Introduction.mp4 68.4 MB
- 5. Concepts - Builds and Deployments/3. Builds.mp4 63.1 MB
- 5. Concepts - Builds and Deployments/12. Deployments.mp4 60.2 MB
- 7. Storage, Templates and Catalog/3. Example Voting Application Introduction.mp4 52.3 MB
- 4. Openshift Concepts - Projects and Users/1. Projects and Users.vtt 47.0 MB
- 4. Openshift Concepts - Projects and Users/1. Projects and Users.mp4 47.0 MB
- 6. Networks, Services, Routes and Scaling/1. Networking Overview.mp4 42.1 MB
- 3. Getting Started with Openshift/7. Demo - Openshift Management.mp4 41.6 MB
- 5. Concepts - Builds and Deployments/4. Demo - Builds.mp4 40.7 MB
- 5. Concepts - Builds and Deployments/11. Demo - Build Triggers.mp4 40.1 MB
- 3. Getting Started with Openshift/4. Demo - OpenShift Setup with Minishift.mp4 39.4 MB
- 6. Networks, Services, Routes and Scaling/5. Demo - Scaling.mp4 37.7 MB
- 5. Concepts - Builds and Deployments/2. Demo - Deploy an Application.mp4 36.0 MB
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