Business Analysis
1.What are the five categories of
decision support tool
Reporting
Managaed query
Executive information system
On_line analytical processing
Data mining
2.What are the rwo types of
reporting tools?
Production reporting tools
desktop report writers
3.List the guide lines of OLAP
Multidimensional conceptual vie
Transparency
Accessibility
Consistent reporting performance
Client/server architecture
Generic dimensionality
Dynamic sparse matrix handling
Multi-user support
Unrestricted cross-dimensional operations
Intuitive data manipulation
Flexible reporting
12)Unlimited
dimensions and aggregation levels
4.What is impromptu?
Impromptu
is an interactive database reporting tool. It allows Power Users to query data
without programming knowledge. When using the Impromptu tool, no data is
written or changed in the database. It is only capable of reading the data.
5.List the Different types of
frames and its purpose for creating frame based reporting
Form frame: An empty form frame appears.
List frame:
An empty list frame appears.
Text frame: The flashing I-beam appears where you
can begin inserting text.
Picture frame: The Source tab (Picture Properties
dialog box) appears. You can use this tab to select the image to include in the
frame.
Chart frame:
The Data tab (Chart Properties dialog box) appears. You can use this tab to
select the data item to include in the chart.
OLE Object:
The Insert Object dialog box appears where you can locate and select the file
you want to insert, or you can create a new object using the software listed in
the Object Type box.
6. Define
OLAP
OLAP
stands for Online Analytical Processing. It uses database tables (fact and
dimension tables) to enable multidimensional viewing, analysis and querying of
large amounts of data. E.g. OLAP technology could provide management with fast
answers to complex queries on their operational data or enable them to analyze
their company’s historical data for trends and patterns.
7.What are the Categories of OLAP
Tools?
MOLAP
ROLAP
HOLAP
(MQE: Managed Query Environment)
8.What is OLTP vs OLAP?
OLTP stands for On Line Transaction Processing and is a data modeling
approach typically used to facilitate and manage usual business applications.
Most of applications you see and use are OLTP based. OLTP technology used to
perform updates on operational or transactional systems (e.g., point of sale
systems)
OLAP stands for On Line Analytic Processing and is an approach to answer
multi-dimensional queries. OLAP was conceived for Management Information
Systems and Decision Support Systems. OLAP technology used to perform complex
analysis of the data in a data warehouse.
9.Write short notes on
multidimensional data model?
Data
warehouses and OLTP tools are based on a multidimensional data model. This
model is used for the design of corporate data warehouses and department data
marts. This model contains a Star schema, Snowflake schema and Fact
constellation schemas. The core of the multidimensional model is the data cube.
10. Define data cube?
It
consists of a large set of facts (or) measures and a number of dimensions.
11. What are facts?
Facts are
numerical measures. Facts can also be considered as quantities by which we can
analyze the relationship between dimensions.
12. What are dimensions?
Dimensions
are the entities (or) perspectives with respect to an organization for keeping
records and are hierarchical in nature.
13. Define dimension table?
A
dimension table is used for describing the dimension. (e.g.) A dimension table
for item may contain the attributes item_ name, brand and type.
14. Define fact table?
Fact
table contains the name of facts (or) measures as well as keys to each of the
related dimensional tables.
15. What are lattice of cuboids?
In data
warehousing research literature, a cube can also be called as cuboids. For
different (or) set of dimensions, we can construct a lattice of cuboids, each
showing the data at different level. The lattice of cuboids is also referred to
as data cube.
16. What is apex cuboid?
The 0-D
cuboid which holds the highest level of summarization is called the apex
cuboid. The apex cuboid is typically denoted by all.
17. Define OLTP?
If an
on-line operational database systems is used for efficient retrieval, efficient
storage and management of large amounts of data, then the system is said to be
on-line transaction processing.
18. Define OLAP?
Data
warehouse systems serves users (or) knowledge workers in the role of data
analysis and decision-making. Such systems can organize and present data in
various formats. These systems are known as on-line analytical processing
systems.
19. How a database design is represented in OLTP
systems?
Entity-relation
model
20. How a database design is
represented in OLAP systems?
Star
schema
Snowflake
schema
Fact
constellation schema
21. What
is star schema?
The star
schema architecture is the simplest data warehouse schema. It is called a star
schema because the diagram resembles a star, with points radiating from a
center. The center of the star consists of fact table and the points of the
star are the dimension tables.
The main
characteristics of star schema:
Simple
structure-> easy to understand schema
Great query effectives-> small number of tables to join
22. What is Snowflake schema?
It is the
result of decomposing one or more of the dimensions. The many-to-one
relationships among sets of attributes of a dimension can separate new
dimension tables, forming a hierarchy. The decomposed snowflake structure
visualizes the hierarchical structure of dimensions very well.
23. What is Fact constellation
schema:
For each
star schema it is possible to construct fact constellation schema (for example
by splitting the original star schema into more star schemes each of them
describes facts on another level of dimension hierarchies). The fact
constellation architecture contains multiple fact tables that share many
dimension tables.
24. List out the OLAP operations
in multidimensional data model?
Roll-up
Drill-down
Slice and dice
Pivot (or) rotate
25. What is roll-up operation?
The
roll-up operation is also called drill-up operation which performs aggregation
on a data cube either by climbing up a concept hierarchy for a dimension (or)
by dimension reduction.
26. What is drill-down operation?
Drill-down
is the reverse of roll-up operation. It navigates from less detailed data to
more detailed data. Drill-down operation can be taken place by stepping down a
concept hierarchy for a dimension.
27. What is slice operation?
The slice
operation performs a selection on one dimension of the cube resulting in a sub
cube.
28. What is dice operation?
The dice
operation defines a sub cube by performing a selection on two (or) more
dimensions.
29. What is pivot operation?
This is a
visualization operation that rotates the data axes in an alternative
presentation of the data.
30. List the distinct features of
OLTP with OLAP. Distinct features (OLTP vs. OLAP):
User and system orientation: customer vs. market
Data contents: current, detailed vs. historical,
consolidated
Database design: ER + application vs. star +
subject
View: current, local vs. evolutionary, integrated
Access patterns: update vs. read-only but complex
queries
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