[1] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS OnLine Analytical Processing Seminar Presentation By Murali Mohan Rath CS Under the guidance of Mr. Indraneel Mukhopadhyay

[2] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS What is OLAP OnLine Analytical Processing ia a technology that uses multidimensional view of aggregate data for quicker access to strategic information.

[3] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS How OLAP Helps It helps in decision making, business modeling, and operations research activities by transforming raw Data warehouse data into strategic information

[4] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS Four Main Characteristics of OLAP –Use multidimensional data analysis techniques –Provide advanced database support –Provide easy-to-use end user interfaces –Support client/server architecture

[5] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS 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 data at different levels.

[6] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS 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 there is more than a one-to-one relationship between the fields lends itself to multidiensional represtation.

[7] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS ProductRegionSales NutsEast50 NutsWest60 NutsCentral100 BoltsEast90 BoltsWest120 BoltsCentral140 ScrewsEast40 ScrewsWest70 ScrewsCentral80 WashersEast20 WashersWest10 WashersCentral30 Single Dimensional View

[8] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS EastWestCentral Nuts Bolts Screws Washers Multidimensional View

[9] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS OLAP Architecture –Three Main Modules u OLAP Graphical User Interface (GUI) u OLAP Analytical Processing Logic u OLAP Data Processing Logic –OLAP systems are designed to use both operational and Data Warehouse data.

[10] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS OLAP Server Arrangement

[11] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS OLAP Server With Multidimensional Data Store Arrangement

[12] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS Relational OLAP Relational On-Line Analytical Processing (ROLAP) provides OLAP functionality by using relational database and familiar relational query tools. Extensions to RDBMS  Multidimensional data schema support within the RDBMS  Data access language and query performance optimized for multidimensional data  Support for very large databases

[13] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS Multidimensional Data Schema Support within the RDBMS  Normalization of tables in relational technology is seen as a stumbling block to its use in OLAP systems.  DSS data tend to be non-normalized, duplicated, and pre-aggregated.  ROLAP uses a special design technique to enable RDBMS technology to support multidimensional data representations, known as star schema.  Star schema creates the near equivalent of a multidimensional database schema from the existing relational database

[14] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS A Typical ROLAP Client/Server Architecture

[15] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS  The real limitation of OLAP databases is almost always the number of cells and not the number of dimensions.  As the number of dimensions increases the number of cells increases expotentially so a 16 dimension database with 5 members in each has 152 billion cells.  Most OLAP servers reach their limit in cell numbers before they hit their dimensions limit LIMITATIONS

[16] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS CONCLUSION  In essence OLAP technology is fast, flexible data summarisation and analysis.  OLAP servers are a superior technology for Business Intellgence applications.  OLAP servers and relational databases can work in harmony to create an environment that delivers data quickly to perform the analysis needed to make the best business decisions.

[17] National Institute of Science & Technology TECHNICAL SEMINAR PRESENTATION Murali Mohan Rath CS