[ FreeCourseWeb ] PluralSight - Building Event-driven Microservices with the Azure Cosmos DB Change Feed

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[ FreeCourseWeb.com ] PluralSight - Building Event-driven Microservices with the Azure Cosmos DB Change Feed
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here ! 02
    • introduction-slides.pdf (709.2 KB)
    03
    • replication-for-multiple-partition-keys-slides.pdf (384.5 KB)
    04
    • denormalizing-the-non-relational-data-model-slides.pdf (365.6 KB)
    05
    • generating-event-notifications-slides.pdf (972.5 KB)
    06
    • building-materialized-views-slides.pdf (782.2 KB)
    07
    • moving-data-slides.pdf (218.2 KB)
    1. Course Overview
    • 1. Course Overview.mp4 (5.6 MB)
    • 1. Course Overview.smi (2.9 KB)
    2. Introduction
    • 1. Course Objectives.mp4 (3.4 MB)
    • 1. Course Objectives.smi (2.9 KB)
    • 2. Introducing Change Feed.mp4 (5.5 MB)
    • 2. Introducing Change Feed.smi (5.9 KB)
    • 3. Horizontal Partitioning.mp4 (1.7 MB)
    • 3. Horizontal Partitioning.smi (1.8 KB)
    • 4. Understanding Logical Paritions.mp4 (4.4 MB)
    • 4. Understanding Logical Paritions.smi (3.2 KB)
    • 5. Common Partitioning Patterns.mp4 (6.5 MB)
    • 5. Common Partitioning Patterns.smi (5.6 KB)
    • 6. Ordered Change Events.mp4 (10.5 MB)
    • 6. Ordered Change Events.smi (9.1 KB)
    • 7. Consuming the Change Feed.mp4 (3.3 MB)
    • 7. Consuming the Change Feed.smi (3.6 KB)
    • 8. Demo Using the Change Feed Processor Library.mp4 (32.1 MB)
    • 8. Demo Using the Change Feed Processor Library.smi (14.7 KB)
    • 9. Summary.mp4 (2.5 MB)
    • 9. Summary.smi (2.6 KB)
    3. Replication for Multiple Partition Keys
    • 1. Curing Analysis Paralysis.mp4 (3.7 MB)
    • 1. Curing Analysis Paralysis.smi (3.2 KB)
    • 2. Using Change Feed for Replication.mp4 (2.8 MB)
    • 2. Using Change Feed for Replication.smi (2.6 KB)
    • 3. Processing Updates and Deletes.mp4 (4.5 MB)
    • 3. Processing Updates and Deletes.smi (4.8 KB)
    • 4. Using Azure Functions.mp4 (3.2 MB)
    • 4. Using Azure Functions.smi (3.3 KB)
    • 5. Demo Preparing for Replication.mp4 (8.3 MB)
    • 5. Demo Preparing for Replication.smi (3.8 KB)
    • 6. Demo Creating the Replication Microservice.mp4 (30.8 MB)
    • 6. Demo Creating the Replication Microservice.smi (14.2 KB)
    • 7. Demo Testing the Replication Microservice.mp4 (14.4 MB)
    • 7. Demo Testing the Replication Microservice.smi (5.6 KB)
    • 8. Demo Deploying the Replication Microservice.mp4 (11.9 MB)
    • 8. Demo Deploying the Replication Microservice.smi (4.4 KB)
    • 9. Summary.mp4 (2.1 MB)
    • 9. Summary.smi (2.0 KB)
    4. Denormalizing the Non-relational Data Model
    • 1. Handling Relational Workloads.mp4 (2.8 MB)
    • 1. Handling Relational Workloads.smi (2.4 KB)
    • 2. Querying Products.mp4 (2.7 MB)
    • 2. Querying Products.smi (2.7 KB)
    • 3. Denormalizing Products.mp4 (3.2 MB)
    • 3. Denormalizing Products.smi (2.8 KB)
    • 4. Demo Denormalization Microservice.mp4 (26.8 MB)
    • 4. Demo Denormalization Microservice.smi (11.0 KB)
    • 5. Summary.mp4 (1.1 MB)
    • 5. Summary.smi (1.1 KB)
    5. Generating Event Notifications
    • 1. Contoso Airlines IoT Scenario.mp4 (4.8 MB)
    • 1. Contoso Airlines IoT Scenario.smi (4.4 KB)
    • 2. Ingesting Flight Telemetry.mp4 (2.4 MB)
    • 2. Ingesting Flight Telemetry.smi (2.2 KB)
    • 3. Demo Flight Telemetry Generator.mp4 (24.4 MB)
    • 3. Demo Flight Telemetry Generator.smi (10.1 KB)
    • 4. No-fly Zone Alerts.mp4 (1.2 MB)
    • 4. No-fly Zone Alerts.smi (1.3 KB)
    • 5. Microservices Solution Structure.mp4 (3.6 MB)
    • 5. Microservices Solution Structure.smi (2.2 KB)
    • 6. Demo Creating the Email Alert Microservice.mp4 (34.0 MB)
    • 6. Demo Creating the Email Alert Microservice.smi (16.3 KB)
    • 7. Demo Testing the Email Alert Microservice.mp4 (13.3 MB)
    • 7. Demo Testing the Email Alert Microservice.smi (3.1 KB)
    • 8. Summary.mp4 (1.2 MB)
    • 8. Summary.smi (1.2 KB)
    6. Building Materialized Views
    • 1. Querying Real-time Flight Data.mp4 (2.3 MB)
    • 1. Querying Real-time Flight Data.smi (2.0 KB)
    • 2. Demo Flight Location Map.mp4 (27.5 MB)
    • 2. Demo Flight Location Map.smi (8.2 KB)
    • 3. Introducing Materialized Views.mp4 (2.7 MB)
    • 3. Introducing Materialized Views.smi (2.1 KB)
    • 4. Demo Current Location Microservice.mp4 (49.8 MB)
    • 4. Demo Current Location Microservice.smi (13.9 KB)
    • 5. Querying Arrival Data.mp4 (3.4 MB)
    • 5. Querying Arrival Data.smi (3.0 KB)
    • 6. Demo Arrivals Board Microservice.mp4 (40.7 MB)
    • 6. Demo Arrivals Board Microservice.smi (14.5 KB)
    • 7. Summary.mp4 (1.6 MB)
    • 7. Summary.smi (1.8 KB)
    7. Moving Data
    • 1. Pass the Data Along.mp4 (2.7 MB)
    • 1. Pass the Data Along.smi (2.8 KB)
    • 2. Demo Data Archival Microservice.mp4 (33.5 MB)
    • 2. Demo Data Archival Microservice.smi (11.3 KB)
    • 3. Using the Pull Model Alternative.mp4 (2.8 MB)
    • 3. Using the Pull Model Alternative.smi (3.1 KB)
    • 4. Summary.mp4 (1.6 MB)
    • 4. Summary.smi (1.8 KB)
    • Acme Webstore.sln (1.2 KB)
      • AcmeWebStore WebStore.CfpLibraryHost
      • Program.cs (1.6 KB)
      • WebStore.CfpLibraryHost.csproj (0.3 KB)
      WebStore.ChangeFeedFunctions
      • DenormalizeProductFunction.cs (3.8 KB)
        • Properties

Description

Building Event-driven Microservices with the Azure Cosmos DB Change Feed

Leonard Lobel | Duration: 2h 38m | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 450 MB | Language: English
The Azure Cosmos DB change feed enables a wide range of possibilities for building large-scale, event-driven microservices. This course will teach you how to build these microservices using real-world e-commerce and IoT workloads.

Azure Cosmos DB exposes a change feed that makes it easy to build cloud-native, scalable, event-driven microservices. In this course, Building Event-driven Microservices with the Azure Cosmos DB Change Feed, you’ll learn how to leverage the change feed, using real-world e-commerce and IoT workloads to nstrate key concepts and design patterns. First, you’ll explore the change feed itself, and its partitioned ordering guarantees. Next, you’ll discover how to consume the change feed using both the Change Feed Processor Library and Azure Functions. Finally, you’ll see practical s that apply these concepts to achieve replication, denormalization, event notifications, materialized views, and data movement. By the end of this course, you’ll know how to build an effective event-driven microservices architecture around Azure Cosmos DB.

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[ FreeCourseWeb ] PluralSight - Building Event-driven Microservices with the Azure Cosmos DB Change Feed

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455.2 MB
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[ FreeCourseWeb ] PluralSight - Building Event-driven Microservices with the Azure Cosmos DB Change Feed

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