The dimensions are the entities with respect to which an enterprise keeps the records.
How does a Data Cube help?
Data cube helps us to represent the data in multiple dimensions. The data cube is defined by dimensions and facts.
What does Metadata Respiratory contain?
Metadata respiratory contains definition of data warehouse, business metadata, operational metadata, data for mapping from operational environment to data warehouse, and the algorithms for summarization.
Metadata is simply defined as data about data. In other words, we can say that metadata is the summarized data that leads us to the detailed data.
List the process that are involved in Data Warehousing.
Data Warehousing involves data cleaning, data integration and data consolidations.
List the Schema that a data warehouse system can implements.
A data Warehouse can implement star schema, snowflake schema, and fact constellation schema.
What is the very basic difference between data warehouse and operational databases?
A : A data warehouse contains historical information that is made available for analysis of the business whereas an operational database contains current information that is required to run the business.
What do OLAP and OLTP stand for?
OLAP is an acronym for Online Analytical Processing and OLTP is an acronym of Online Transactional Processing.
Both OLAP and OLTP are online processing systems. Opposed to a batch processing system, where transaction details pile up in a stack of documents that are then registered in batches, an online processing system is one that registers ongoing transactions in real-time.One major difference between OLAP and OLTP is that while the former is an online database modifying system, the latter is an online database query answering system. However, the difference between the two online processing systems goes way beyond this distinction.You can check all head to head comparison from here: https://hackr.io/blog/olap-vs-oltp
List any five applications of data warehouse.
Some applications include financial services, banking services, customer goods, retail sectors, controlled manufacturing.
What does subject-oriented data warehouse signify?
Subject oriented signifies that the data warehouse stores the information around a particular subject such as product, customer, sales, etc.