Data Warehousing Interview Questions
1) Explain some disadvantages of
data ware house?
These are
some of the disadvantages of data ware house: -
1) It
represents a very large project with a very broad scope which is a big
disadvantage.
2) Upfront costs are very huge and the duration of the project from the start to the end user is significant.
3) It is inflexible and unresponsive to the departmental needs.
2) Upfront costs are very huge and the duration of the project from the start to the end user is significant.
3) It is inflexible and unresponsive to the departmental needs.
2) Explain about the top design?
In a top
design model data ware house is designed in a normalized enterprise model. This
is chiefly used for business intelligence and management capabilities. Data
used for business purpose and management can be met through a data ware house.
It is used to generate dimensional views and is known to be good and stable
against business changes.
3) Explain about the non-volatile feature of data ware
house?
Data once
written and saved in data ware house is static and it can never be deleted and
over written once confirmed. It will be static and read-only. This can be used
for future reporting and it allows good security feature.
4) What are the different interconnected layers of a data
ware house?
There are
four different interconnected layers they are: -
• Operational database layer
• Informational access layer
• Data access layer
• Meta data layer.
• Operational database layer
• Informational access layer
• Data access layer
• Meta data layer.
5) What do you know about Data warehousing?
Data
warehousing is used for reporting and analysis of the data. It is primarily
used to analyze data. Some of the additional uses of it are extraction and
retrieval of data, manage, load and manipulate data. It has various tools which
can transform, load, extract and manage the data.
6) Explain about the time variant feature of Data ware
housing?
Data ware
house detects and tracks all the changes according to time. This allows a
database developer to detect the changes across time which helps him to keep a
log.
7) Explain about the top design?
In a top
design model data ware house is designed in a normalized enterprise model. This
is chiefly used for business intelligence and management capabilities. Data
used for business purpose and management can be met through a data ware house.
It is used to generate dimensional views and is known to be good and stable
against business changes.
Explain about hybrid design model?
Due to the
various risks and disadvantages presented by top down and bottom down models it
has become imperative that Hybrid methodologies be used. This is used for fast
turn around time and enterprise wide data consistency. This uses features and
benefits from top down and bottom down models.
9) State some of the disadvantages of data ware houses?
Some of the
disadvantages are as follows: -
1) Data ware
house can be costly due to high maintenance of the database. It is usually not
static.
2) There is always a risk of it delivering outdated results which makes it less productive.
3) A fine line exists between data ware house and operational systems.
2) There is always a risk of it delivering outdated results which makes it less productive.
3) A fine line exists between data ware house and operational systems.
10) Explain about the bottom up design?
Bottom up
design provides the advantage of a quick turnaround. As soon as the first data
marts are created business values can be returned. Some of the disadvantages
caused are due to multiple versions and false truth operations. Conforming
dimensions and tight management can mitigate these risks.
11) State some of the benefits of data ware housing?
These are
some of the benefits of data ware housing they are: -
1) Regardless
of the data source it provides common data model this feature makes analysis of
data much easier.
2) Inconsistency is identified during the loading process.
3) In case there is a crash of the database, database programmer can feel comfortable because it is stored in the data ware housing.4) It is very efficient and will not slow down the operational system.
2) Inconsistency is identified during the loading process.
3) In case there is a crash of the database, database programmer can feel comfortable because it is stored in the data ware housing.4) It is very efficient and will not slow down the operational system.
12) What do you think about the future of data ware housing?
Data ware
housing will be used by organizations to analyze their huge pool of data.With
the development of various data ware house appliances performance of data ware
housing applications can be improved. There would be many more apps working in
accordance with the Gartner Group report which makes it much user friendly and
reliable.
13) State two major differences between a data ware house
and operational data ware house?
There exist
two major differences they are: -
1) It integrates information from a pre existing source database
2) It is used for analysis usually for OLAP where huge amounts of data occur frequently.
5) Explain about the integrated data ware house stage?
At this stage data ware house gets updated every time a transaction occurs. The transactions performed during this time are passed back to the operational systems which records the transactions.
6)These are some of the questions make sure that you learn many more questions
1) It integrates information from a pre existing source database
2) It is used for analysis usually for OLAP where huge amounts of data occur frequently.
5) Explain about the integrated data ware house stage?
At this stage data ware house gets updated every time a transaction occurs. The transactions performed during this time are passed back to the operational systems which records the transactions.
6)These are some of the questions make sure that you learn many more questions
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