Final answer:
Modern data warehouse architecture is motivated by the need to efficiently store, manage, and analyze large volumes of data. Cloud computing, big data technologies, data integration tools, and analytics tools enable this architecture.
Step-by-step explanation:
Modern data warehouse architecture is driven by the need to efficiently store, manage, and analyze large volumes of data. It enables businesses to make data-driven decisions and gain valuable insights. Some of the technologies that enable modern data warehouse architecture include:
- Cloud computing: Cloud platforms like Amazon Web Services (AWS) and Microsoft Azure provide scalable and flexible infrastructure for data storage and processing.
- Big data technologies: Technologies like Apache Hadoop and Apache Spark enable the storage and processing of large datasets.
- Data integration tools: Tools like ETL (Extract, Transform, Load) enable the integration of data from different sources into a centralized data warehouse.
- Analytics tools: Tools like Tableau and Power BI enable businesses to visually explore and analyze data stored in the data warehouse.