Definition

The term On-Line Analytical Processing (OLAP) was coined by E.F. Codd in 1993 to refer to a type of application that allows a user to interactively analyze data. An OLAP system is often contrasted to an OLTP (On-Line Transaction Processing) system that focuses on processing transaction such as orders, invoices or general ledger transactions. Before the term OLAP was, coined, these systems were often referred to as Decision Support Systems.
OLAP is now acknowledged as a key technology for successful management in the 90's.It descr ....etc

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Definition

The term On-Line Analytical Processing (OLAP) was coined by E.F. Codd in 1993 to refer to a type of application that allows a user to interactively analyze data. An OLAP system is often contrasted to an OLTP (On-Line Transaction Processing) system that focuses on processing transaction such as orders, invoices or general ledger transactions. Before the term OLAP was, coined, these systems were often referred to as Decision Support Systems.
OLAP is now acknowledged as a key technology for successful management in the 90's.It descr ....etc

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Due to the new techniques and the wide adoption of big data and its related analytical tool old analytical methods like Online Analytical Processing (OLAP) and its different forms, may be of no use in near future. Do you agree with this statement give your opinion supported by some valid arguments. ....etc

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Online Analytical Processing (OLAP)

Topics
Business Intelligence (BI) Technologies
OLAP definitions
Data cube & hypercube
OLAP operations
Types of OLAP tools
OLAP Demo

Business Intelligence (BI) Technologies
With the growth in data warehousing, users demand for more powerful access tools that provide advanced analytical capabilities
Two main types of these access tools are
¢ Online Analytical Processing (OLAP)
¢ Data mining
OLAP and Data Mining differ in what they offe ....etc

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ABSTRACT

Data warehousing is the process where organizations extract value from their informational assets though the use of special stores called data warehouses. In general data warehouse is defined to be subject-oriented, integrated, time-variant, and non-volatile. Using both internal and external systems sources of data, a data warehouse is created.
Data mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the most important informat ....etc

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Due to the new techniques and the wide adoption of big data and its related analytical tool old analytical methods like Online Analytical Processing (OLAP) and its different forms, may be of no use in near future. Do you agree with this statement give your opinion supported by some valid arguments. ....etc

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ABSTRACT


Organizations have, over the years, successfully employed business intelligence tools like OLAP and data warehousing to improve the supply of business information to end users for cross industry applications like finance and customer relationship management, and in vertical markets such as retail, manufacturing, healthcare, banking, financial services, telecommunications, and utilities. In the recent years, the Internet has opened up an ....etc

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Multicast Routing Algorithms and Protocols

Introduction
In the age of multimedia and high-speed networks, multicast is one of the mechanisms by which the power of the Internet can be further harnessed in an efficient manner. It has been increasingly used by various continuous media applications such as teleconferencing, distance learning, and voice & video transmission.

Compared with unicast and broadcast, multicast can save network bandwidth and make transmission more efficient. In this semin ....etc

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Definition

The term On-Line Analytical Processing (OLAP) was coined by E.F. Codd in 1993 to refer to a type of application that allows a user to interactively analyze data. An OLAP system is often contrasted to an OLTP (On-Line Transaction Processing) system that focuses on processing transaction such as orders, invoices or general ledger transactions. Before the term OLAP was, coined, these systems were often referred to as Decision Support Systems.
OLAP is now acknowledged as a key technology for successful management in the 90's.It descr ....etc

[:=Read Full Message Here=:]

Definition

The term On-Line Analytical Processing (OLAP) was coined by E.F. Codd in 1993 to refer to a type of application that allows a user to interactively analyze data. An OLAP system is often contrasted to an OLTP (On-Line Transaction Processing) system that focuses on processing transaction such as orders, invoices or general ledger transactions. Before the term OLAP was, coined, these systems were often referred to as Decision Support Systems.
OLAP is now acknowledged as a key technology for successful management in the 90's.It descr ....etc

[:=Read Full Message Here=:]

Online Analytical Processing (OLAP)

Online Analytical Processing (OLAP) is a technology by which Data Warehouse data are queried and analysed.A Data Warehouse is the repository that stores large amount of data extracted from a variety of source systems exist within the organisation. A Data Warehouse does not necessarily need OLAP technology. OLAP enables users to gain insight into data. OLAP uses a multidimensional view of aggregate data to provide quick access to strategic
information for analysis purposes.

Applications:
OLAP lo ....etc

[:=Read Full Message Here=:]

Online Analytical Processing (OLAP)

Online Analytical Processing (OLAP) is a technology by which Data Warehouse data are queried and analysed.A Data Warehouse is the repository that stores large amount of data extracted from a variety of source systems exist within the organisation. A Data Warehouse does not necessarily need OLAP technology. OLAP enables users to gain insight into data. OLAP uses a multidimensional view of aggregate data to provide quick access to strategic
information for analysis purposes.

Applications:
OLAP lo ....etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

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on line analytical processing



Need of OLAP


2.Analytical Query Language providing

-Filter the data relationship
-Aggregate the data relationship
-merge the data relationship
-explore complex data relationship


Types of OLAP

The types of OLAP
-Multidimensional On-Line Analytical Processing (MOLAP)
-Relational On-Line Analytical Processing (ROLAP)
-Hybrid On-Line Analytical Processing (HOLAP)


FEATURES OF OLAP[/b ....etc

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Definition

The PIVOT VECTOR SPACE APPROACH is a novel technique of audio-video mixing which automatically selects the best audio clip from the available database, to be mixed with the given video shot. Till the development of this technique, audio-video mixing is a process that could be done only by professional audio-mixing artists. However employing these artists is very expensive and is not feasible for home video mixing. Besides, the process is time-consuming and tedious.

In today's era, significant advances are happening constantly i ....etc

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On-line Analytical Processing (OLAP) has become a fundamental component of contemporary decision support systems and represents a means by which knowledge workers can efficiently analyze vast amounts of organizational data. Within the OLAP context, one of the more interesting recent themes has been the computation and manipulation of the data cube, a relational model that can be used to represent summarized multi-dimensional views of massive data warehousing archives.

Over the past five or six years a number of efficient sequential algo ....etc

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Integration Of Data mining And Data warehousing Systems
Presented By:
- N.Nagaraju
3/3 M.C.A I Semester
Introduction:
Traditionally, organizations use data tactically - to manage operations. For a competitive edge, strong organizations use data strategically “ to expand the business, to improve profitability, to reduce costs, and to market more effectively. Data mining creates information assets that an organization can leverage to achieve these strategic objectives. Data Mining is t ....etc

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Hii im searching for olap seminar report plz upload it as soon as possible ....etc

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hello,
My name is Sumit and i have assigned a seminar report on this topic. i have searched a lot but i didn't find any relevant material on this topic. Please provide me with the report of this topic.
Thanks ....etc

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