By Dejan Sarka
Ace your coaching for Microsoft Certification examination 70-463 with this 2-in-1 education package from Microsoft Press. paintings at your individual speed via a sequence of classes and useful routines, after which verify your talents with on-line perform exams - that includes a number of, customizable checking out strategies.
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Additional info for Implementing a Data Warehouse with Microsoft SQL Server 2012: Training Kit (Exam 70-463)
Attribute B. Measure C. Key D. Member property E. Name 3. How can you spot natural hierarchies in a Snowflake schema? A. You need to analyze the content of the attributes of each dimension. B. Lookup tables for each dimension provide natural hierarchies. C. A Snowflake schema does not support hierarchies. D. You should convert the Snowflake schema to the Star schema, and then you would spot the natural hierarchies immediately. Lesson 3: Designing Fact Tables Fact tables, like dimensions, have specific types of columns that limit the actions that can be taken with them.
Base. For the purposes of analysis, these enterprises need to be able to merge the data from multiple databases. Data quality is a common problem as well. In addition, many LOB applications do not track data over time, though many analyses depend on historical data. Key Terms A common solution to these problems is to create a data warehouse (DW). A DW is a centralized data silo for an enterprise that contains merged, cleansed, and historical data. DW schemas are simplified and thus more suitable for generating reports than normalized relational schemas.
To collect either auditing or lineage information, you need to modify the extract-transform-load (ETL) process you use for DW loads appropriately. If your ETL tool is SQL Server Integration Services (SSIS), then you should use SSIS logging. SSIS has extensive logging support. In addition, SSIS also has support for lineage information. info Chapter 1 13 Reviewing the AdventureWorksDW2012 Internet Sales Schema Pr actice The AdventureWorksDW2012 sample database is a good example of a data warehouse.