Pluralsight - Real World Big Data in Azure 收录时间:2018-03-23 07:08:37 文件大小:758MB 下载次数:78 最近下载:2021-01-13 00:59:52 磁力链接: magnet:?xt=urn:btih:4ad09ed82bc886c4557b00f504df48db17ed3766 立即下载 复制链接 文件列表 Exercise files/realworldbigdatamicrosoftazure.zip 53MB 04. Querying Batch Data in Deep Storage/04_03-Demo AzCopy and Pig.mp4 18MB 05. Normalizing Event Data for RealTime Queries/05_10-Demo EventMetricsHandler.mp4 17MB 07. Using Storm for the Plumbing/07_07-Demo Event Metrics App.mp4 16MB 01. Understanding Big Data in Azure/01_09-Demo GZipToJsonHandler.mp4 16MB 06. Building Realtime Dashboards/06_12-Demo Securing the Web App.mp4 16MB 02. Ingesting Data into Event Hubs/02_13-Demo Deploy, Monitor Scale.mp4 15MB 03. Storing Event Data for Batch Queries/03_11-Demo DiskEventStore.mp4 15MB 05. Normalizing Event Data for RealTime Queries/05_05-Demo Core.EventProcessor.mp4 15MB 03. Storing Event Data for Batch Queries/03_16-Demo Deep Storage Worker Role.mp4 15MB 04. Querying Batch Data in Deep Storage/04_07-Demo Running Pig Scripts in HDInsight.mp4 14MB 05. Normalizing Event Data for RealTime Queries/05_14-Demo Azure Deployment.mp4 14MB 02. Ingesting Data into Event Hubs/02_09-Demo EventBatchIterator.mp4 14MB 05. Normalizing Event Data for RealTime Queries/05_12-Demo RealTime.WorkerRole.mp4 14MB 08. Using HBase for Storage/08_06-Demo Device Errors in Storm.mp4 13MB 04. Querying Batch Data in Deep Storage/04_09-Demo Streaming from Pig to .NET.mp4 13MB 05. Normalizing Event Data for RealTime Queries/05_08-Demo ModelBuffer of T.mp4 12MB 06. Building Realtime Dashboards/06_06-Demo Event Count Job.mp4 12MB 01. Understanding Big Data in Azure/01_11-Demo IEventSender.mp4 12MB 02. Ingesting Data into Event Hubs/02_07-Demo EventHubEventSender.mp4 12MB 05. Normalizing Event Data for RealTime Queries/05_03-Demo Building the Data Model.mp4 12MB 03. Storing Event Data for Batch Queries/03_04-Demo IEventProcessor.mp4 12MB 06. Building Realtime Dashboards/06_11-Demo Deploying Azure Web App.mp4 11MB 02. Ingesting Data into Event Hubs/02_11-Demo Acceptance Tests.mp4 11MB 01. Understanding Big Data in Azure/01_06-Demo EventsController.mp4 11MB 03. Storing Event Data for Batch Queries/03_07-Demo DeepStorageEventProcessor.mp4 11MB 03. Storing Event Data for Batch Queries/03_14-Demo BlobStorageEventStore Part 2.mp4 11MB 06. Building Realtime Dashboards/06_09-Demo The Pie Widget.mp4 10MB 02. Ingesting Data into Event Hubs/02_05-Automating Event Hub Creation.mp4 10MB 07. Using Storm for the Plumbing/07_05-Demo Connecting to the Event Hub Spout.mp4 10MB 04. Querying Batch Data in Deep Storage/04_05-Demo Pig and JSON Data.mp4 10MB 03. Storing Event Data for Batch Queries/03_13-Demo BlobStorageEventStore Part 1.mp4 9MB 03. Storing Event Data for Batch Queries/03_09-Demo MemoryEventStore.mp4 9MB 07. Using Storm for the Plumbing/07_04-Demo The Event Hub Spout.mp4 9MB 08. Using HBase for Storage/08_07-Demo Device Errors in HBase.mp4 8MB 06. Building Realtime Dashboards/06_02-Demo Installing Dashing.net.mp4 8MB 08. Using HBase for Storage/08_09-Demo Dashing and HBase.mp4 7MB 07. Using Storm for the Plumbing/07_09-Demo Running in Azure.mp4 7MB 08. Using HBase for Storage/08_04-Demo HBase on HDInsight.mp4 7MB 06. Building Realtime Dashboards/06_04-Demo The Number Widget.mp4 7MB 02. Ingesting Data into Event Hubs/02_04-Creating Event Hubs.mp4 7MB 04. Querying Batch Data in Deep Storage/04_11-Demo Visualization with D3.js.mp4 7MB 05. Normalizing Event Data for RealTime Queries/05_04-Refactoring the Event Receiver.mp4 6MB 06. Building Realtime Dashboards/06_13-Module Summary.mp4 6MB 08. Using HBase for Storage/08_05-HBase Row Key Design.mp4 5MB 05. Normalizing Event Data for RealTime Queries/05_02-Modeling Event Metrics.mp4 5MB 07. Using Storm for the Plumbing/07_03-Parallelism in Storm.mp4 5MB 02. Ingesting Data into Event Hubs/02_12-Understanding Throughput Units.mp4 5MB 05. Normalizing Event Data for RealTime Queries/05_15-Module Summary.mp4 5MB 03. Storing Event Data for Batch Queries/03_05-Competing Consumers.mp4 4MB 04. Querying Batch Data in Deep Storage/04_10-Visualizing Output from Pig.mp4 4MB 08. Using HBase for Storage/08_03-Modeling Device Errors in HBase.mp4 4MB 04. Querying Batch Data in Deep Storage/04_06-HDInsight and Pig.mp4 4MB 06. Building Realtime Dashboards/06_03-About Widgets.mp4 4MB 05. Normalizing Event Data for RealTime Queries/05_09-Handling Event Metrics.mp4 4MB 01. Understanding Big Data in Azure/01_04-Evolving the Phase 2 Solution.mp4 4MB 04. Querying Batch Data in Deep Storage/04_12-Module Summary.mp4 4MB 04. Querying Batch Data in Deep Storage/04_04-Importing Libraries.mp4 4MB 06. Building Realtime Dashboards/06_07-How Dashing Pushes Updates.mp4 4MB 06. Building Realtime Dashboards/06_05-About Scheduled Jobs.mp4 4MB 07. Using Storm for the Plumbing/07_06-Topology for Event Metrics.mp4 4MB 03. Storing Event Data for Batch Queries/03_06-Buffering Output.mp4 4MB 02. Ingesting Data into Event Hubs/02_06-Sending Events.mp4 4MB 07. Using Storm for the Plumbing/07_10-Module Summary.mp4 4MB 02. Ingesting Data into Event Hubs/02_08-Batching Events.mp4 4MB 08. Using HBase for Storage/08_02-About HBase.mp4 4MB 02. Ingesting Data into Event Hubs/02_03-Configuring Event Hubs.mp4 4MB 01. Understanding Big Data in Azure/01_03-Building the Phase 1 Solution.mp4 4MB 04. Querying Batch Data in Deep Storage/04_08-Streaming Data to Commands.mp4 4MB 03. Storing Event Data for Batch Queries/03_15-Timed Flushing.mp4 4MB 05. Normalizing Event Data for RealTime Queries/05_06-Dependency Injection and the EventProcessorHost.mp4 4MB 06. Building Realtime Dashboards/06_08-Adding New Widgets.mp4 4MB 03. Storing Event Data for Batch Queries/03_10-Level 2 Local Disk.mp4 4MB 08. Using HBase for Storage/08_11-Course Summary.mp4 4MB 01. Understanding Big Data in Azure/01_07-Key Features of the Telemetry API.mp4 3MB 01. Understanding Big Data in Azure/01_12-Module Summary.mp4 3MB 04. Querying Batch Data in Deep Storage/04_02-About Pig.mp4 3MB 03. Storing Event Data for Batch Queries/03_08-Level 1 InProcess Memory.mp4 3MB 05. Normalizing Event Data for RealTime Queries/05_07-Buffering in the Event Handler.mp4 3MB 02. Ingesting Data into Event Hubs/02_14-Next Steps for Deployment Monitoring.mp4 3MB 03. Storing Event Data for Batch Queries/03_02-Aim of Deep Storage.mp4 3MB 06. Building Realtime Dashboards/06_01-Module Introduction.mp4 3MB 06. Building Realtime Dashboards/06_10-Running Dashing on Azure.mp4 3MB 01. Understanding Big Data in Azure/01_01-Introducing Big Data in Azure.mp4 3MB 07. Using Storm for the Plumbing/07_01-Module Introduction.mp4 3MB 02. Ingesting Data into Event Hubs/02_10-Batching and Testing.mp4 3MB 02. Ingesting Data into Event Hubs/02_16-Module Summary.mp4 3MB 08. Using HBase for Storage/08_08-The HBase .NET SDK.mp4 3MB 03. Storing Event Data for Batch Queries/03_18-Module Summary.mp4 3MB 03. Storing Event Data for Batch Queries/03_03-Concurrency and Partitions.mp4 3MB 05. Normalizing Event Data for RealTime Queries/05_13-Running in Azure.mp4 3MB 04. Querying Batch Data in Deep Storage/04_01-Module Introduction.mp4 3MB 03. Storing Event Data for Batch Queries/03_12-Level 3 Blob Storage.mp4 3MB 08. Using HBase for Storage/08_10-Module Summary.mp4 3MB 03. Storing Event Data for Batch Queries/03_17-Scaling Read with Throughput Units.mp4 3MB 01. Understanding Big Data in Azure/01_08-Zipping the Event Batch.mp4 3MB 07. Using Storm for the Plumbing/07_08-Storm and HSInsight.mp4 3MB 02. Ingesting Data into Event Hubs/02_15-Isolating the Event Hub.mp4 3MB 05. Normalizing Event Data for RealTime Queries/05_01-Module Introduction.mp4 3MB 08. Using HBase for Storage/08_01-Module Introduction.mp4 3MB 07. Using Storm for the Plumbing/07_02-Spouts, Bolts, and Topologies.mp4 3MB 03. Storing Event Data for Batch Queries/03_01-Module Introduction.mp4 3MB 05. Normalizing Event Data for RealTime Queries/05_11-Running OnPremise.mp4 2MB 01. Understanding Big Data in Azure/01_10-Testing the API.mp4 2MB 02. Ingesting Data into Event Hubs/02_02-Introducing Event Hubs.mp4 2MB 01. Understanding Big Data in Azure/01_02-Is This Course for Me.mp4 2MB 01. Understanding Big Data in Azure/01_05-Introducing the Telemetry API.mp4 2MB 02. Ingesting Data into Event Hubs/02_01-Module Introduction.mp4 2MB