Pro serverless data handling with Microsoft Azure architecting ETL and data-driven applications in the cloud
Design and build architectures on the Microsoft Azure platform specifically for data-driven and ETL applications. Modern cloud architectures rely on serverless components more than ever, and this book helps you identify those components of data-driven or ETL applications that can be tackled using th...
| Otros Autores: | , |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, California :
Apress
[2022]
|
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009652825806719 |
Tabla de Contenidos:
- Intro
- Table of Contents
- About the Authors
- About the Technical Reviewer
- Acknowledgments
- Introduction
- Part I: The Basics
- Chapter 1: Azure Basics
- The Different Cloud Service Models
- Infrastructure as a Service (IaaS)
- Platform as a Service (PaaS)
- Software as a Service (SaaS)
- Cloud Model Responsibilities
- The Structure of Microsoft Azure
- Azure Geographies
- Azure Regions
- Azure Availability Zones
- Azure Account
- Azure Subscription
- Azure Resource Groups
- Azure Resource Manager
- Creating and Naming the Resources
- Creating Resources
- Naming Resources
- Overview of Data Services
- Data Categories
- Azure Data Services
- Summary
- Chapter 2: Serverless Computing
- Cloud Software Delivery
- Serverless Delivery
- The Cost of Perfection
- Handling Data
- Chapter 3: Data-Driven Applications
- ETL the Classic Way
- Transformation: What Does That Mean?
- Different Data Models for Different Applications
- OLTP: The Relational Model
- Table
- Key
- Relationship
- OLAP: Star and Snowflake Schemas
- Modern Data Warehouses and Data Applications
- Part II: Hands-On
- Chapter 4: Azure Functions
- The Flavors of Azure Functions
- Triggers and Bindings
- Creating Your First Azure Function
- Creating the Azure Resources
- Creating the Function
- A Look at the Code
- Testing the Function
- Deploying Your Function
- Handling State
- The Basics
- The Code
- Running It in the Cloud
- Chapter 5: Logic Apps
- Principles of Code-Free Implementation
- Creating a Logic App
- The Logic Apps UI
- Chapter 6: Azure Data Factory
- The Building Blocks of ADF
- Working with Azure Data Factory
- Creating an ADF Using Azure CLI
- Preparing Resources
- Creating a Pipeline
- Parametrizing Your Pipeline
- Creating a Data Flow
- Best Practices
- Using Git
- Using Azure Key Vault.
- Chapter 7: Database and Storage Options
- Relational and Non-Relational Data Explained
- Storage Accounts
- Storage Account Basics
- Creating a Storage Account
- Using Azure Table Storage
- Azure Queue Storage
- Cosmos DB
- Use Cases for Cosmos DB Accounts
- Azure SQL DB Serverless
- Creating a Serverless SQL Database
- When to Choose What?
- Chapter 8: IoT Hub, Event Hub, and Streaming Data
- IoT Hub
- Event Hub
- Service Bus
- Stream Analytics
- Chapter 9: Power BI
- Power BI Service and Power BI Desktop
- Building Data Visualizations with Power BI Reports
- Visualizing Data Streams
- Sharing Content
- Licensing of Power BI
- Part III: Design Practices
- Chapter 10: Achieving Resiliency
- What Is Resiliency?
- How Is Resiliency Ensured?
- Different Areas to Be Resilient
- Patterns That Support Resiliency
- Choosing the Right Services for Resiliency
- Achieving Resiliency
- Chapter 11: Queues, Messages, and Commands
- Messages
- Events
- Commands
- Scenarios for Events and Commands
- Implementing the Scenario
- Chapter 12: Processing Streams of Data
- Streaming Data-What Is It About?
- Stream Processing: Lambda Architecture
- Implementing a Lambda Architecture in Azure
- There's More…
- Chapter 13: Monitoring Serverless Applications
- Monitoring and Alerting
- Serverless and Monitoring
- Implementing Monitoring
- Implementing Alerting
- Part IV: Putting It All Together
- Chapter 14: Tools and Helpers
- Visual Studio Code
- Azure Data Studio
- Docker / Docker Desktop
- Azure CLI
- PowerShell
- Bicep / ARM Templates
- Azure Storage Explorer
- Azure DevOps
- dbatools
- Azure Quickstart Templates
- Git
- Git Kraken
- Chocolatey
- Azure Data Community
- Useful Visual Studio Code Plugins
- Chapter 15: Data-Loading Patterns
- Data-Loading Patterns for Flat Files.
- Data-Loading Patterns for REST APIs
- Data-Loading Patterns for Databases
- Data-Loading Patterns for Data Streams
- Chapter 16: Data Storage Patterns
- Relational Databases
- Storage Accounts
- Non-Relational Databases
- Chapter 17: Architecture for a Modern Data-Driven Application
- REST API, Tracking &
- Transaction Data
- Communicating with the Shops
- Data Warehousing and Analytics
- Index.
