Which statement about ETL for data warehouse projects is not correct? (a) It usually takes about 60-80% of all the effort (b) Most ETL activities are performed at the staging database area (c) ETL stand for Extract Transform Load (d) Surrogate keys of dimensions are generated during the RTL stage and then surrogate keys are inserted into the fact table first and then into the dimension tables. Which process does not belong to ETL? (a) Extraction (b) Transformation (c) Load Balancing (d) Loading Which is incorrect about Logical Data Warehouse? (a) Its of virtual data warehouse (b) It uses a kind of data virtualization layer to integrate multiple data sources. (c) Can be created without a physical data warehouse (d) A virtual data mart is always created from a virtual data warehouse. Which is a wrong statement about NoSQL databases? (a) Most NoSQL databases offer no support for SQL at their engine level (b) Most NoSQL databases do not support joins (c) Most NoSQL databases do support multi-record transactions. (d) Most NoSQL databases use the scale-out architecture

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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.