Why does the data have to be transformed? What is being transformed? Explain the difference between full extraction and incremental extraction. Provide an example for each extraction technique. What is a flat file and where are flat files used in the ETL process? Explain the reasons for or against the use of separate transactional and informational systems.  Discuss why data warehouses and other OLAP structures are used for staging and analyzing data.  Explain the layered scalable architecture of data warehouse modeling.  Explain multidimensional data warehouse models, including star schemas and snowflake schemas. Can you help me with these question 1-6

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Fundamentals of Datawarehouse

A data warehouse is a data repository which is used to store large quantities of historical data that are mostly used for creating reports that help businesses to identify their weaknesses and strengths. For example, demographics data about people of a region can help businesses identify the needs and preferences of the region’s population. A data warehouse acts as a central storage for storing data that comes from one or more heterogenous sources. It also consists of data which can be old and of historical value. One of the most important applications of this type of system is that it is used for supporting business intelligence and data analytics applications.