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2. Data mart - Wikipedia

   en.wikipedia.org/wiki/Data_mart

   Data Warehouse and Data Mart overview, with Data Marts shown in the top right. A data mart is a structure/access pattern specific to data warehouse environments. The data mart is a subset of the data warehouse that focuses on a specific business line, department, subject area, or team. [1] Whereas data warehouses have an enterprise-wide depth ...

3. Data lake - Wikipedia

   en.wikipedia.org/wiki/Data_lake

   Example of a database that can be used by a data lake (in this case structured data) A data lake is a system or repository of data stored in its natural/raw format, [1] usually object blobs or files. A data lake is usually a single store of data including raw copies of source system data, sensor data, social data etc., [2] and transformed data ...

4. Data warehouse - Wikipedia

   en.wikipedia.org/wiki/Data_warehouse

   Data Warehouse and Data mart overview, with Data Marts shown in the top right. In computing, a data warehouse (DW or DWH), also known as an enterprise data warehouse (EDW), is a system used for reporting and data analysis and is a core component of business intelligence. [1] Data warehouses are central repositories of data integrated from ...

5. Star schema - Wikipedia

   en.wikipedia.org/wiki/Star_schema

   In computing, the star schema or star model is the simplest style of data mart schema and is the approach most widely used to develop data warehouses and dimensional data marts. [1] The star schema consists of one or more fact tables referencing any number of dimension tables.

6. Big data - Wikipedia

   en.wikipedia.org/wiki/Big_data

   The data lake allows an organization to shift its focus from centralized control to a shared model to respond to the changing dynamics of information management. This enables quick segregation of data into the data lake, thereby reducing the overhead time. [50] [51]

7. Staging (data) - Wikipedia

   en.wikipedia.org/wiki/Staging_(data)

   A staging area, or landing zone, is an intermediate storage area used for data processing during the extract, transform and load (ETL) process. The data staging area sits between the data source(s) and the data target(s), which are often data warehouses, data marts, or other data repositories.