Data Warehousing & Data Management Quiz

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Questions and Answers

What term describes the collection of data in a data warehouse that supports management decisions?

Web Mining

Text Mining

Data Mining

Data Warehousing (correct)

Which of the following statements about the data warehouse is correct?

It can be read and written.

It does not support retrieving data.

It is read-only. (correct)

It is write-only.

What does DSS stand for in the context of Data Warehousing?

Decision Support System (correct)

Data Support System

Decision Single System

Data Storable System

What is a key aspect of the data found within a data warehouse?

It is time-variant. Signup and view all the answers

What is typically the time horizon for data stored in a data warehouse?

5-10 years Signup and view all the answers

What describes the type of metadata that defines the structure of data held in operational databases?

Operational metadata Signup and view all the answers

Which type of metadata maps core warehouse metadata to business concepts?

Application level metadata Signup and view all the answers

What type of databases are described as being owned by particular departments or business groups?

Operational Signup and view all the answers

What is the granularity of a fact?

The level of detail at which it is recorded. Signup and view all the answers

Which option is not considered a primary grain in analytical modeling?

Periodic snapshot Signup and view all the answers

Granularity is determined by which factors?

Both A and B Signup and view all the answers

What does it mean for a fact to be fully additive?

It is additive over every dimension. Signup and view all the answers

Which type of fact is defined as being additive over at least one dimension but not all?

Partially additive fact Signup and view all the answers

What does it indicate if a fact is deemed non-additive?

It is not additive across any dimension. Signup and view all the answers

What can non-additive measures be often combined with to create?

Additive measures Signup and view all the answers

What does SQL stand for?

Structured Query Language Signup and view all the answers

What term describes the value that occurs most frequently in a dataset?

Mode Signup and view all the answers

Which graphical representation is specifically designed to display a five-number summary?

Boxplot Signup and view all the answers

Which of the following describes an active data warehouse architecture?

At least one data mart with near real-time updates Signup and view all the answers

What characteristic best defines transient data within data management?

Data records that are eliminated upon changes Signup and view all the answers

What is the primary purpose of data scrubbing?

To clean and improve data quality Signup and view all the answers

An ordinal variable can be best described as:

A qualitative variable that has a meaningful order Signup and view all the answers

Which type of attribute is characterized by having a finite or countably infinite set of values?

Discrete attribute Signup and view all the answers

Which of the following is true about data objects?

They are defined by the attributes that characterize them Signup and view all the answers

Which statement accurately describes the role of dimensionality reduction?

It reduces the dataset size by removing irrelevant attributes. Signup and view all the answers

Which term is used to describe the independence of one attribute's effect on a class from the values of other attributes?

Conditional independence Signup and view all the answers

What is the primary reason for organizations to implement a data warehouse?

To facilitate the storage of a large volume of data. Signup and view all the answers

What alternative term is used for a multidimensional database?

DBMS Signup and view all the answers

Which database architecture forms the foundation of data warehouse architecture?

Relational DBMS Signup and view all the answers

From where does the source data in a data warehouse typically originate?

Operational Data Store Signup and view all the answers

Which process signifies a data transformation method within a database?

Filtering Signup and view all the answers

What does metadata refer to in the context of databases?

Data about data Signup and view all the answers

What does the load and index process primarily involve?

A process to load the data in the data warehouse and to create the necessary indexes. Signup and view all the answers

Which of the following best describes data transformation?

A process to change data from a detailed level to a summary level. Signup and view all the answers

Which process is referred to as multifield transformation?

Converting data from one field into multiple fields. Signup and view all the answers

What type of relationship is typically found in a star schema?

One-to-many. Signup and view all the answers

Which statement about fact tables is true?

Completely normalized. Signup and view all the answers

In the context of Business Intelligence, which function relates to the role of data warehousing?

All of the above. Signup and view all the answers

Which function is not supported by the data administration subsystem?

Create, change, and delete information. Signup and view all the answers

What is the most common source of change data for refreshing a data warehouse?

Queryable change data. Signup and view all the answers

What characterizes an outlier in a data set?

A data object that significantly differs from other observations Signup and view all the answers

Which statement about correlation and causality is true?

Causality can exist without any correlation Signup and view all the answers

Which of the following best describes a boxplot?

A visualization summarizing a set of data through quartiles Signup and view all the answers

What are the main tasks involved in data preprocessing?

Data cleaning, data integration, data reduction, and data transformation Signup and view all the answers

In database terminology, what is a star schema?

A fact table surrounded by multiple dimension tables Signup and view all the answers

Which of the following is NOT a type of data mart?

Distributed data mart Signup and view all the answers

Which term refers to data that defines warehouse objects?

Meta data Signup and view all the answers

What format does OLAP stand for?

On-Line Analytical Processing Signup and view all the answers

Study Notes

DWH&DM

DWH&DM is a subject-oriented, integrated, time-variant, nonvolatile collection of data to support management decisions.
Data Warehouse is read-only.
Expansion for DSS in DW is Decision Support System.
Important aspects about data found within a Data Warehouse environment include: subject-oriented, time-variant, and integrated.
Time horizon in a Data Warehouse is usually 5-10 years.
Data is stored, retrieved, and updated in OLAP.
Metadata describes data in the warehouse.
Data warehouse database servers are the heart of the warehouse.

Operational vs. Data Warehouse Data

Operational systems are used for real-time business operations and are based on current data.
Data Warehouse is based on historical data used for decision support.

Data Warehouse Architecture

Active Data Warehouse Architecture includes: having at least one data mart, data extracted from numerous internal and external sources, and near real-time updates.
Data stored in various operational systems throughout the organization
Data stored in one operational system for end-user support applications is current data.

Data Transformation

Data Transformation is a process of changing data from a detailed level to a summary level or vice versa.
Data from one source can combine into various sources.
Data from multiple fields can convert into one field.

Data Summarization

Transformations of data from one level to another.
Aggregating data at a specified level to summarize.

Data Warehousing Tools and Techniques

Metadata are data about data, which contain the structure, algorithms for summarization, and a map describing the warehouse's relationship with the operational environment.
Dimensionality reduction removes irrelevant attributes to reduce data set size.
Finding and removing duplicate or outdated data is known as data scrubbing.
Business Intelligence, data mining, and analysis of large volumes of data are data operations.

Data Preprocessing Tasks

Data cleaning (handling missing or incorrect data, removing duplicates, validating data accuracy).
Data integration (combining data from different sources).
Data transformation (converting data to a common format).
Data reduction (reducing data size for easier processing).

Data Warehousing Concepts

Data warehousing is used to support decision-making.
Data is used for reporting and analysis.
The data warehouse is a separate system from the operational database.
Key business aspects of data.
Data marts and data warehouses.
Data warehouse tools.

Data Attributes

Data objects are described by attributes.
Different types of attributes exist: such as nominal, binary, ordinal.
Calculating summary measures like mode, median, mean, boxplots and quantile plots describe data insights.

Data Visualization

In data visualization graphs and charts are used to discover summary measures of data and interpret analysis.

Data Quality

Data quality: ensures data completeness, accuracy, and consistency for reliable reporting.
It is essential for a reliable data warehouse.

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Description

Test your knowledge on Data Warehousing and Data Management concepts. This quiz covers topics such as the architecture of a data warehouse, operational vs. data warehouse data, and important aspects of data storage and retrieval. Enhance your understanding of how data warehouses support management decisions.