ANSI/SPARC (American National Standards Institute/Standards Planning and Requirements Committee) is a standard that defines the architecture of a data warehouse.

Inmon's Methodology is a top-down approach to developing a data warehouse, which involves creating a central data warehouse and then populating it with data from various source systems.

The primary goal of data warehousing is to provide a single source of truth, which means that all data in the data warehouse is consistent and accurate.

Data warehouses typically store historical data, which is data that has been collected over a period of time and is no longer being updated.

ETL (Extract, Transform, Load) is the process of extracting data from source systems, transforming it into a format that is suitable for the data warehouse, and then loading it into the data warehouse.

Informatica PowerCenter, Talend Open Studio, and Pentaho Data Integration are all popular ETL tools.

Data modeling, schema design, and database design are all terms that refer to the process of creating a data model for a data warehouse.

Star schema, snowflake schema, and fact constellation schema are all types of data models that are commonly used for data warehousing.

Data warehousing optimization, data warehouse tuning, and data warehouse performance optimization are all terms that refer to the process of optimizing the performance of a data warehouse.

IBM DB2 Warehouse, Oracle Exadata, and Teradata Database are all popular data warehousing optimization tools.

Data warehousing management, data warehouse administration, and data warehouse governance are all terms that refer to the process of managing the data in a data warehouse.

Informatica Data Warehouse Manager, IBM InfoSphere DataStage, and Oracle Warehouse Builder are all popular data warehousing management tools.

Data warehousing security, data warehouse security, and data warehouse access control are all terms that refer to the process of securing the data in a data warehouse.

IBM Guardium, Oracle Database Vault, and Symantec Data Loss Prevention are all popular data warehousing security tools.

Data warehousing monitoring, data warehouse monitoring, and data warehouse performance monitoring are all terms that refer to the process of monitoring the data in a data warehouse.

IBM Tivoli Monitoring, Oracle Enterprise Manager, and Microsoft System Center Operations Manager are all popular data warehousing monitoring tools.