What is Azure Data Architecture? & Key Components and Considerations Azure Data Architecture refers to the structured framework and components within Microsoft Azure that support the storage, processing, management, and analysis of data. It encompasses a set of Azure services and solutions designed to handle diverse data workloads, including relational and non-relational databases, big data analytics, machine learning, and more. The goal of Azure Data Architecture is to provide a scalable, flexible, and integrated environment for organizations to derive insights from their data. - Azure Data Engineer Online Training
Key components and considerations within Azure Data Architecture include: 1. Azure Data Services: •
Azure Synapse Analytics is a cloud analytics service that mixes big data with data warehousing. These services include Azure SQL Database, Azure Cosmos DB, Azure Data Lake Storage, Azure Blob Storage, Azure Synapse Analytics, Azure Databricks, Azure Machine Learning, and more.
2. Azure Synapse Analytics (formerly SQL Data Warehouse): •
Azure Data Lake Storage is a scalable and secure data lake solution designed for big data analytics. It enables organizations to analyze large volumes of