Modern Database Management
13th Edition
ISBN: 9780134773650
Author: Hoffer
Publisher: PEARSON
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Textbook Question
Chapter 9, Problem 9.34RQ
Describe some field-level and record-level data transformations that often occur during the ETL process for loading a data warehouse.
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Chapter 9 Solutions
Modern Database Management
Ch. 9 - Prob. 9.1RQCh. 9 - Prob. 9.2RQCh. 9 - Prob. 9.3RQCh. 9 - List the five major trends that necessitate data...Ch. 9 - Prob. 9.5RQCh. 9 - Prob. 9.6RQCh. 9 - Prob. 9.7RQCh. 9 - Prob. 9.8RQCh. 9 - Prob. 9.9RQCh. 9 - Prob. 9.10RQ
Ch. 9 - List four objectives of derived data.Ch. 9 - Prob. 9.12RQCh. 9 - Prob. 9.13RQCh. 9 - Explain the pros and cons of logical data marts.Ch. 9 - Prob. 9.15RQCh. 9 - What is a helper table, and why is it often used...Ch. 9 - Describe the characteristics of a surrogate key as...Ch. 9 - Prob. 9.18RQCh. 9 - What is the purpose of conformed dimensions for...Ch. 9 - Prob. 9.20RQCh. 9 - Prob. 9.21RQCh. 9 - Prob. 9.22RQCh. 9 - Prob. 9.23RQCh. 9 - Prob. 9.24RQCh. 9 - Prob. 9.25RQCh. 9 - Describe the current key trends in data...Ch. 9 - Discuss the benefits of offering data warehousing...Ch. 9 - Prob. 9.28RQCh. 9 - List six typical characteristics of reconciled...Ch. 9 - Prob. 9.30RQCh. 9 - Prob. 9.31RQCh. 9 - Prob. 9.32RQCh. 9 - Prob. 9.33RQCh. 9 - Describe some field-level and record-level data...Ch. 9 - Prob. 9.35PAECh. 9 - Prob. 9.36PAECh. 9 - Prob. 9.37PAECh. 9 - Prob. 9.38PAECh. 9 - You are to construct a star schema for Simplified...Ch. 9 - Simplified Automobile Insurance Company would like...Ch. 9 - Prob. 9.41PAECh. 9 - Prob. 9.42PAECh. 9 - Prob. 9.43PAECh. 9 - Prob. 9.45PAECh. 9 - Prob. 9.46PAECh. 9 - Prob. 9.47PAECh. 9 - Prob. 9.48PAECh. 9 - Prob. 9.49PAECh. 9 - Prob. 9.50PAECh. 9 - Prob. 9.51PAECh. 9 - Prob. 9.52PAECh. 9 - Prob. 9.53PAECh. 9 - Prob. 9.54PAE
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Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.Similar questions
- Data flow diagrams may be broken down into two groups, each with its own set of benefits and drawbacks. Why is it crucial to have MetaData in a data warehouse?arrow_forwardHow does incremental data loading differ from a full data load in a data warehouse context?arrow_forwardThere are two kinds of flow charts: logical and physical data flow diagrams. Due to its indispensable nature, MetaData is the most vital component of every data warehouse.arrow_forward
- A data warehouse may be used for many different purposes.arrow_forwardIt's possible that the level of granularity available in a database is far lower than what's available in a data warehouse.arrow_forwardWhen designing data environments with a large degree of dispersion, it is necessary to strike a balance between a number of competing considerations.arrow_forward
- There are two kinds of data flow diagrams: logical and physical. Why is MetaData so critical to the operation of a data warehouse?arrow_forwardData dictionaries play an important role when it comes to database administration and maintenance.arrow_forwardDescribe data and process modeling concepts and tools, including data flow diagrams, a data dictionary, and process descriptionsarrow_forward
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