The document outlines the topics and questions for an assignment in data warehousing, emphasizing areas such as metadata components, data marts, dimensional tables, extraction methods, and RAID configurations. It provides a range of questions that require detailed answers, aiming to help students understand data warehousing concepts. Additionally, it encourages students to request fully solved assignments via email or phone.

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WINTER 2015, ASSIGNMENT
PROGRAM BCA(REVISED 2007)
SEMESTER 6TH SEM
SUBJECT CODE & NAME BC0058 – DATA WAREHOUSING
CREDITS 4
BK ID B1011
MAX. MARKS 60
ANSWER ALL THE QUESTIONS
Question.1. Write the advantages and applications of
DataWarehouse.
Answer:Data warehousesare the traditionalsolution for data integration, and for good reason, but
thisisbecomingincreasinglydifficult to scale and copy data from multiple data sources in multiple
organizations in multiple locations
Question.2. Write short notes on:
(i) Metadata Component
Answer:Metadata for language resources and tools exists in a multitude of formats. Often these
descriptionscontainspecializedinformation for a specific research community (e.g. TEI headers for
text, IMDI for multimedia collections).
To overcome this dispersion CLARIN has initiated the
(ii) data Marts
Answer:A data mart is the access layer of the data warehouse environment that is used to get data
out to the users. The data mart is a subset of the data warehouse that is usually oriented to a

2. specific business line or team. Data marts are small slices of the data warehouse. Whereas data
warehouses have an enterprise-wide depth, the information in data marts pertains to a single
department.Insome deployments,eachdepartmentorbusinessunitis considered the owner of its
data mart including all the hardware,
Question.3. Write the Characteristics of Dimensional Table.
Answer:Indata warehousing,adimensiontableisone of the setof companiontables to a fact table.
The fact table containsbusinessfacts(ormeasures),andforeign keys which refer to candidate keys
(normally primary keys) in the dimension tables.
Contraryto fact tables,dimension tables contain descriptive attributes (or fields) that are typically
textual fields(ordiscrete numbersthatbehave like text).Theseattributesare designed to serve two
critical purposes: query constraining and/or filtering, and query result set labeling.
Question.4. Discuss the Extraction Methods in Data Warehouses.
Answer:Extractionisthe operationof extracting data from a source system for further use in a data
warehouse environment.This is the first step of the ETL process. After the extraction, this data can
be transformed and loaded into the data warehouse.
The source systems for a data warehouse are typically transaction processing applications. For
example, one of the source systems for a sales analysis data warehouse might be an order entry
system that records all of the current order
Question.5. Write short notes on :
(i) RAID 0
Answer: RAID 0 consistsof striping,withoutmirroringorparity. The capacity of a RAID 0 volume is
the sum of the capacities of the disks in the set, the same as with a spanned volume. There is no
addedredundancyforhandlingdiskfailures,justaswitha spannedvolume.Thus,failureof one disk
causes the loss of the entire RAID 0 volume, with reduced possibilities of data recovery when
compared to a broken spanned volume. Striping
(ii) RAID 1
Answer:RAID 1 consists of data mirroring, without parity or striping. Data is written identically to
two (or more) drives, thereby producing a "mirrored set" of drives. Thus, any read request can be

3. servicedbyanydrive inthe set. If a request is broadcast to every drive in the set, it can be serviced
by the drive that accesses the data first (depending on its seek time and rotational latency),
improving performance. Sustained read
Question.6. What is Metadata Management? Explain
IntegratedMetadata Management with a block diagram.
Answer:Meta-data management (also known as metadata management, without the hyphen)
involves managing data about other data, whereby this "other data" is generally referred to as
contentdata. The termis usedmostoften in relation to Digital media, but older forms of metadata
are catalogs, dictionaries, and taxonomies. For example, the Dewey Decimal Classification is a
metadata management system for books developed in 1876 for libraries.
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