Data warehouse hierarchy
What is data storage hierarchy?
Data hierarchy refers to the systematic organization of data, often in a hierarchical form.
Data organization involves characters, fields, records, files and so on.
This concept is a starting point when trying to see what makes up data and whether data has a structure..
What is hierarchy in data warehouse?
In data warehouse systems, the hierarchies play a key role in processing and monitoring information.
These hierarchies dynamically analyze huge volumes of historical data in data warehouses at various granularity levels using OLAP operations like roll-up and drill-down..
What is the structure of a data warehouse?
Data Warehouse Architecture
Middle-Tier: The middle layer, or the data integration layer, integrates and transforms the raw data from the bottom layer into a format that the top layer can use.
This layer includes Extract, Transform, Load (ETL) processes, data cleansing, and data quality checks..
- A typical example of a hierarchical data structure is a file system, where the root directory is the top-level element, and each directory or file within it is a child node.
Each child node can have its own set of child nodes, forming a hierarchy of directories and files within the file system.
Abstract. In data warehouse systems, the hierarchies play a key role in processing and monitoring information. These hierarchies dynamically analyze huge
The custom hierarchy structure can be built in SAP Master Data Governance, another system, or in a spreadsheet
