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:
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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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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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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 (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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