A Data warehouse (DW) is a not part of DBMS, it stores large amount of data which is typically collected from multiple heterogeneous sources like files, DBMS, etc. It is a vital component of business intelligence that employs analytical techniques on business data. Most organizations depend on this data for analytics or reporting purposes, the data needs to be consistently formatted and easily accessible – two qualities that define data warehousing and makes it essential to today’s businesses. Data warehouses are used for online analytical processing (OLAP), which uses complex queries to analyze rather than process transactions.
What do you know about Data Warehouse?
What are the key components of a Data Warehouse architecture?
What is the difference between OLAP and OLTP?
What is the ETL process, and why is it important in Data Warehousing?
Explain the difference between a Data Mart and a Data Warehouse.
What are slowly changing dimensions (SCDs)?
What are the different types of OLAP models?
What is a Star Schema and Snowflake Schema?
How do you ensure data quality in a Data Warehouse?
What are the advantages of using a Data Warehouse?
What are the Traditional Data Warehouse Concepts?
Can you explain Data warehouse use cases?
Can you define OLTP?
Can you define OLAP?
Can you explain ODS?
Can you define ELT?
Can you explain real-time data warehousing?
How is a data warehouse different from a regular database?
What are the Cloud Data Warehouse Concepts (Amazon red shift)?
What are the cons of a data warehouse?
Can you explain Cloud Data Warehouses?