Engineering Data Mesh in Azure Cloud
portes grátis
Engineering Data Mesh in Azure Cloud
Implement data mesh using Microsoft Azure's Cloud Adoption Framework
Deswandikar, Aniruddha
Packt Publishing Limited
03/2024
314
Mole
Inglês
9781805120780
15 a 20 dias
Descrição não disponível.
Table of Contents
Introducing Data Meshes
Building a Data Mesh Strategy
Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework
Building a Data Mesh Governance Framework Using Microsoft Azure Services
Security Architecture for Data Meshes
Automating Deployment through Azure Resource Manager and Azure DevOps
Building a Self-Service Portal for Common Data Mesh Operations
How to Design, Build, and Manage Data Contracts
Data Quality Management
Master Data Management
Monitoring and Data Observability
Monitoring Data Mesh Costs and Building a Cross-Charging Model
Understanding Data-Sharing Topologies in a Data Mesh
Advanced Analytics Using Azure Machine Learning, Databricks, and the Lakehouse Architecture
Big Data Analytics Using Azure Synapse Analytics
Event-Driven Analytics Using Azure Event Hubs, Azure Stream Analytics, and Azure Machine Learning
AI Using Azure Cognitive Services and Azure OpenAI
Introducing Data Meshes
Building a Data Mesh Strategy
Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework
Building a Data Mesh Governance Framework Using Microsoft Azure Services
Security Architecture for Data Meshes
Automating Deployment through Azure Resource Manager and Azure DevOps
Building a Self-Service Portal for Common Data Mesh Operations
How to Design, Build, and Manage Data Contracts
Data Quality Management
Master Data Management
Monitoring and Data Observability
Monitoring Data Mesh Costs and Building a Cross-Charging Model
Understanding Data-Sharing Topologies in a Data Mesh
Advanced Analytics Using Azure Machine Learning, Databricks, and the Lakehouse Architecture
Big Data Analytics Using Azure Synapse Analytics
Event-Driven Analytics Using Azure Event Hubs, Azure Stream Analytics, and Azure Machine Learning
AI Using Azure Cognitive Services and Azure OpenAI
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Table of Contents
Introducing Data Meshes
Building a Data Mesh Strategy
Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework
Building a Data Mesh Governance Framework Using Microsoft Azure Services
Security Architecture for Data Meshes
Automating Deployment through Azure Resource Manager and Azure DevOps
Building a Self-Service Portal for Common Data Mesh Operations
How to Design, Build, and Manage Data Contracts
Data Quality Management
Master Data Management
Monitoring and Data Observability
Monitoring Data Mesh Costs and Building a Cross-Charging Model
Understanding Data-Sharing Topologies in a Data Mesh
Advanced Analytics Using Azure Machine Learning, Databricks, and the Lakehouse Architecture
Big Data Analytics Using Azure Synapse Analytics
Event-Driven Analytics Using Azure Event Hubs, Azure Stream Analytics, and Azure Machine Learning
AI Using Azure Cognitive Services and Azure OpenAI
Introducing Data Meshes
Building a Data Mesh Strategy
Deploying a Data Mesh Using the Azure Cloud-Scale Analytics Framework
Building a Data Mesh Governance Framework Using Microsoft Azure Services
Security Architecture for Data Meshes
Automating Deployment through Azure Resource Manager and Azure DevOps
Building a Self-Service Portal for Common Data Mesh Operations
How to Design, Build, and Manage Data Contracts
Data Quality Management
Master Data Management
Monitoring and Data Observability
Monitoring Data Mesh Costs and Building a Cross-Charging Model
Understanding Data-Sharing Topologies in a Data Mesh
Advanced Analytics Using Azure Machine Learning, Databricks, and the Lakehouse Architecture
Big Data Analytics Using Azure Synapse Analytics
Event-Driven Analytics Using Azure Event Hubs, Azure Stream Analytics, and Azure Machine Learning
AI Using Azure Cognitive Services and Azure OpenAI
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
