Data warehouse products
From the architecture point of view, there are three data warehouse models: the enterprise warehouse, the data mart, and the virtual warehouse.
Enterprise warehouse: An enterprise warehouse collects all of the information about subjects spanning the entire organization..
Data warehouse products
SAP Data Warehouse Cloud is a cloud-based data warehousing solution developed by SAP.
It is designed to provide organizations with a modern, scalable, and integrated platform for data storage, data modeling, data integration, and analytics..
How to do data warehousing?
A data warehouse operates as a central repository where information arrives from various sources.
The data that flows in may be structured, semi-structured, or unstructured and may come from internal applications, customer-facing applications, and external systems..
Is SQL a data warehousing tool?
The platform uses Artificial Intelligence (AI) and Machine Learning (ML) to help create, run, and manage highly scalable apps across various cloud networks.
The Azure SQL Data Warehouse (SQL DW) is an analytical, petabyte-scalable data warehouse built based on the SQL Server..
What are the 5 basic stages of the data warehousing process?
A typical data warehouse has four main components: a central database, ETL (extract, transform, load) tools, metadata, and access tools.
All of these components are engineered for speed so that you can get results quickly and analyse data on the fly..
What is included in a data warehouse?
A data warehouse may contain multiple databases.
Within each database, data is organized into tables and columns.
Within each column, you can define a description of the data, such as integer, data field, or string.
Tables can be organized inside of schemas, which you can think of as folders..