cs online analytical procc
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8/14/2019 Cs Online Analytical Procc
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[1]NationalIns
tit
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ofScienc
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Technolo
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
OnLine Analytical ProcessingSeminar Presentation
By
Murali Mohan Rath CS200117198
Under the guidance of
Mr. Indraneel Mukhopadhyay
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[2]NationalIns
tit
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ofScienc
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Technolo
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
What is OLAP
OnLine Analytical Processing ia a
technology that uses multidimensional view
of aggregate data for quicker access tostrategic information.
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[3]NationalIns
tit
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ofScienc
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Technolo
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
How OLAP Helps
It helps in decision making, business
modeling, and operations research activities
by transforming raw Data warehouse datainto strategic information
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[4]NationalIns
tit
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
Four Main Characteristics of OLAP
Use multidimensional data analysistechniques
Provide advanced database supportProvide easy-to-use end userinterfaces
Support client/server architecture
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[5]NationalIns
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
Multidimensional Data Analysis
Techniques
The processing of data in which data
are viewed as part of a
multidimensional structure.
Multidimensional view allows end
users to consolidate or aggregate dataat different levels.
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[6]NationalIns
tit
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ofScienc
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Technolo
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
Multidimensional Data Analysis
Relational databases contains lists of
records whose information is organised into
fields and is based on a row and column
data format(one dimensional).
However some relational tables where thereis more than a one-to-one relationshipbetween the fields lends itself tomultidiensional represtation.
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
Product Region Sales
Nuts East 50
Nuts West 60
Nuts Central 100
Bolts East 90
Bolts West 120
Bolts Central 140
Screws East 40
Screws West 70Screws Central 80
Washers East 20
Washers West 10
Washers Central 30
Single Dimensional View
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Technolo
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
East West Central
Nuts 50 60 100
Bolts 90 120 140
Screws 40 70 80
Washers 20 10 30
Multidimensional View
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
OLAP Architecture
Three Main Modules
xOLAP Graphical User Interface (GUI)
xOLAP Analytical Processing Logic
xOLAP Data Processing Logic
OLAP systems are designed touse both operational and DataWarehouse data.
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
OLAP Server Arrangement
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
OLAP Server With Multidimensional Data Store Arrangement
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TECHNICAL SEMINAR PRESENTATION
Murali Mohan Rath CS200117198
Relational OLAP
Relational On-Line Analytical Processing(ROLAP) provides OLAP functionality by usingrelational database and familiar relationalquery tools.
Extensions to RDBMS
Multidimensional data schema support within theRDBMS
Data access language and query performanceoptimized for multidimensional data
Support for very large databases
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Murali Mohan Rath CS200117198
Multidimensional Data Schema Support
within the RDBMSNormalization of tables in relational technology isseen as a stumbling block to its use in OLAPsystems.
DSS data tend to be non-normalized, duplicated,and pre-aggregated.
ROLAP uses a special design technique to enableRDBMS technology to support multidimensional data
representations, known as star schema.Star schema creates the near equivalent of amultidimensional database schema from the existingrelational database
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Murali Mohan Rath CS200117198
A Typical ROLAP Client/Server Architecture
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Murali Mohan Rath CS200117198
The real limitation of OLAP databases isalmost always the number of cells and not thenumber of dimensions.
As the number of dimensions increases thenumber of cells increases expotentially so a16 dimension database with 5 members in
each has 152 billion cells.Most OLAP servers reach their limit in cellnumbers before they hit their dimensions limit
LIMITATIONS
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CONCLUSION
In essence OLAP technology is fast, flexibledata summarisation and analysis.
OLAP servers are a superior technology for
Business Intellgence applications.
OLAP servers and relational databases canwork in harmony to create an environment
that delivers data quickly to perform theanalysis needed to make the best businessdecisions.
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