isds 2001 ch. 2 test bank

All of the following are true about in-database processing technology EXCEPT A) it pushes the algorithms to where the data is. B) it makes the response to queries much faster than conventional databases. C) it is often used for apps like credit card fraud detection and investment risk management. D) it is the same as in-memory storage technology.

D

All of the following statements about metadata are true EXCEPT A) metadata gives context to reported data. B) there may be ethical issues involved in the creation of metadata. C) metadata helps to describe the meaning and structure of data. D) for most organizations, data warehouse metadata are an unnecessary expense.

D

Data warehouses provide direct and indirect benefits to using organizations. Which of the following is an indirect benefit of data warehouses? A) better and more timely information B) extensive new analyses performed by users C) simplified access to data D) improved customer service

D

In which stage of extraction, transformation, and load (ETL) into a data warehouse are anomalies detected and corrected? A) transformation B) extraction C) load D) cleanse

D

The "single version of the truth" embodied in a data warehouse such as Capri Casinos' means all of the following EXCEPT A) decision makers get to see the same results to queries. B) decision makers have the same data available to support their decisions. C) decision makers get to use more dependable data for their decisions. D) decision makers have unfettered access to all data in the warehouse.

D

When querying a dimensional database, a user went from summarized data to its underlying details. The function that served this purpose is A) dice. B) slice. C) roll-up. D) drill down.

D

Which data warehouse architecture uses metadata from existing data warehouses to create a hybrid logical data warehouse comprised of data from the other warehouses? A) independent data marts architecture B) centralized data warehouse architecture C) hub-and-spoke data warehouse architecture D) federated architecture

D

When representing data in a data warehouse, using several dimension tables that are each connected only to a fact table means you are using which warehouse structure? A) star schema B) snowflake schema C) relational schema D) dimensional schema

A

What is the definition of a data warehouse (DW) in simple terms?

A pool of data produced to support decision making; it is also a repository of current and historical data of potential interest to managers throughout the organization.

How does the use of cloud computing affect the scalability of a data warehouse? A) Cloud computing vendors bring as much hardware as needed to users' offices. B) Hardware resources are dynamically allocated as use increases. C) Cloud vendors are mostly based overseas where the cost of labor is low. D) Cloud computing has little effect on a data warehouse's scalability.

B

Which approach to data warehouse integration focuses more on sharing process functionality than data across systems? A) extraction, transformation, and load B) enterprise application integration C) enterprise information integration D) enterprise function integration

B

Which of the following BEST enables a data warehouse to handle complex queries and scale up to handle many more requests? A) use of the web by users as a front-end B) parallel processing C) Microsoft Windows D) a larger IT staff

B

Which of the following online analytical processing (OLAP) technologies does NOT require the precomputation and storage of information? A) MOLAP B) ROLAP C) HOLAP D) SQL

B

________ (also called in-database analytics) refers to the integration of the algorithmic extent of data analytics into data warehouse.

In-database processing

____________ refers to architectural-hardware and software-enhancements.

Infrastructure

The ________ Model, also known as the EDW approach (top-down) to data warehouse development

Inmon

The ________ Model, also known as the data mart approach, is a "plan big, build small" approach. A data mart is a subject-oriented or department-oriented data warehouse. It is a scaled-down version of a data warehouse that focuses on the requests of a specific department, such as marketing or sales.

Kimball

________ describe the structure and meaning of the data, contributing to their effective use.

Metadata

________, or "The Extended ASP Model," is a creative way of deploying information system applications where the provider licenses its applications to customers for use as a service on demand (usually over the Internet)

SaaS (software as a service)

_________ refers to mechanisms for acquisition of data from diverse and dispersed sources.

Sourcing

Examples of infrastructure

a) columnar b) real-time DW c) data management technologies and practices d) data warehouse applicances (all in 1 solutions to DW) e) in-memory storage technology (moving the data in the memory for faster processing) f) new database management systems g) advanced analytics

Examples of sourcing

a) web, social media and Big Data b) open source software c) SaaS (software as a service) d) cloud computing

A Web client that connects to a Web server, which is in turn connected to a BI application server, is reflective of a A) one tier architecture. B) two tier architecture. C) three tier architecture. D) four tier architecture.

C

Active data warehousing can be used to support the highest level of decision making sophistication and power. The major feature that enables this in relation to handling the data is A) country of (data) origin. B) nature of the data. C) speed of data transfer. D) source of the data.

C

All of the following are benefits of hosted data warehouses EXCEPT A) smaller upfront investment. B) better quality hardware. C) greater control of data. D) frees up in-house systems.

C

Which data warehouse architecture uses a normalized relational warehouse that feeds multiple data marts? A) independent data marts architecture B) centralized data warehouse architecture C) hub-and-spoke data warehouse architecture D) federated architecture

C

Which kind of data warehouse is created separately from the enterprise data warehouse by a department and not reliant on it for updates? A) sectional data mart B) public data mart C) independent data mart D) volatile data mart

C

Which of the following statements is more descriptive of active data warehouses in contrast with traditional data warehouses? A) strategic decisions whose impacts are hard to measure B) detailed data available for strategic use only C) large numbers of users, including operational staffs D) restrictive reporting with daily and weekly data currency

C

The three main types of data warehouses are data marts, operational ________, and enterprise data warehouses.

data stores

The role responsible for successful administration and management of a data warehouse is the ________, who should be familiar with high-performance software, hardware, and networking technologies, and also possesses solid business insight.

data warehouse administrator (DWA)

Performing extensive ________ to move data to the data warehouse may be a sign of poorly managed data and a fundamental lack of a coherent data management strategy.

extraction, transformation, and load (ETL)

The ________ data warehouse architecture involves integrating disparate systems and analytical resources from multiple sources to meet changing needs or business conditions.

federated

A(n) ________ architecture is used to build a scalable and maintainable infrastructure that includes a centralized data warehouse and several dependent data marts.

hub-and-spoke

Data ________ comprises data access, data federation, and change capture.

integration

Real-time data warehousing, also known as active data warehousing (ADW), is the process of _______________ via the data warehouse as they become available.

loading and providing data

In ________ oriented data warehousing, operational databases are tuned to handle transactions that update the database.

product

With ________ data flows, managers can view the current state of their businesses and quickly identify problems.

real-time

More data, coming in faster and requiring immediate conversion into decisions, means that organizations are confronting the need for _____________.

real-time data warehousing (RDW)

Most data warehouses are built using ________ database management systems to control and manage the data.

relational

A data mart is a subset of a data warehouse, typically consisting of a ___________ whereas a data warehouse _____________ across an entire enterprise.

single subject area or department; combines databases

Online ________ is arguably the most commonly used data analysis technique in data warehouses.

analytical processing

Metadata are data about data. Metadata describe the ________ and some meaning about data, thereby contributing to their effective or ineffective use.

structure of

Online ________ is a term used for a transaction system that is primarily responsible for capturing and storing data related to day-to-day business functions such as ERP, CRM, SCM, and point of sale.

transaction processing

The most common information system architectures that can be used for data warehousing are _______ and _________ but sometimes there is simply ________.

two-tier; three-tier architectures; one tier

major components of the data warehousing process

∙ Data sources ∙ ETL process: data extraction, transformation & loading ∙ EDW and metadata ∙ data marts (if desired) ∙ Middleware tools: enable access to the DW ex. data mining, OLAP, reporting tools, and data visualization tools.

4 characteristics of data warehousing.

∙ Subject oriented ∙ Integrated ∙ Time variant (time series) ∙ Nonvolatile

In the MultiCare case, how was data warehousing able to reduce septicemia mortality rates in MultiCare hospitals?

∙ The Adaptive Data WarehouseTM organized and simplified data from multiple data sources across the continuum of care. It became the single source of truth required to see care improvement opportunities and to measure change, integrated teams consisting of clinicians, technologists, analysts, and quality personnel were essential for accelerating MultiCare's efforts to reduce septicemia mortality. ∙ Together the collaborative effort addressed three key bodies of work-standard of care definition, early identification, and efficient delivery of defined-care standard.

In which stage of extraction, transformation, and load (ETL) into a data warehouse are data aggregated? A) transformation B) extraction C) load D) cleanse

A

Operational or transaction databases are product oriented, handling transactions that update the database. In contrast, data warehouses are A) subject-oriented and nonvolatile. B) product-oriented and nonvolatile. C) product-oriented and volatile. D) subject-oriented and volatile.

A

________ modeling is a retrieval-based system that supports high-volume query access.

Dimensional

________ is a mechanism that integrates application functionality and shares functionality (rather than data) across systems, thereby enabling flexibility and reuse.

Enterprise application integration (EAI)

________ is a mechanism for pulling data from source systems to satisfy a request for information. It is an evolving tool space that promises real-time data integration from a variety of sources, such as relational databases, Web services, and multidimensional databases.

Enterprise information integration (EII)

The primary purpose of metadata should be to provide context to the reported data; that is, it provides enriching information that leads to ______________.

creation of knowledge

In the Michigan State Agencies case, the approach used was a(n) ________ one, instead of developing separate BI/DW platforms for each business area or state agency.

enterprise