Data mining is the process of finding useful new correlations, patterns, and trends by transferring through a high amount of data saved in repositories, using pattern recognition technologies including statistical and mathematical techniques.It is the analysis of factual datasets to discover unsuspected relationships and to summarize the records in novel methods that are both logical and helpful to the data owner.It is the procedure of selection, exploration, and modeling of high quantities of information to find regularities or relations that are at first unknown to obtain clear and beneficial results for the owner of the database.By outsourcing data mining, all ... Read More

There are various features of OLAP Servers which are as follows −Multidimensional conceptual view − A user view of the enterprise data is multidimensional. The conceptual view of OLAP models should be multidimensional. The multidimensional models can be manipulated more easily and intuitively than in the case of single-dimensional models.Transparency − A user should be able to get full value from an OLAP engine without regarding the source of the data. The OLAP system’s technology, underlying database, and computing architecture, and the heterogeneity of input data sources should be transparent to users to preserve their productivity and proficiency with familiar ... Read More

It is the process that manages the queries and speeds them up by directing queries to the most effective data source. This process also ensures that all the system resources are used most effectively, usually by scheduling the execution of queries. The query management process monitors the actual query profiles that are used to determine which aggregations to generate.This process services at all times that the data warehouse is created accessible to end-users. There are no major consecutive steps within this process, rather there are a set of facilities that are constantly in operations.OLAP is an element of software technology ... Read More

OLAP stands for On-Line Analytical Processing. OLAP is an element of software technology that authorizes analysts, managers, and executives to gain insight into data through fast, consistent, interactive access in a wide variety of possible views of data that has been changed from raw information to reflect the actual dimensionality of the enterprise as learned by the client.OLAP servers present business users with multidimensional information from data warehouses or data marts, without concerns about how or where the data are saved. The physical structure and execution of OLAP servers should consider data storage issues.Several OLAP data cube operations continue to ... Read More

OLAP stands for On-Line Analytical Processing. OLAP is an element of software technology that authorizes analysts, managers, and executives to gain insight into data through fast, consistent, interactive access in a wide variety of possible views of information that has been changed from raw information to reflect the actual dimensionality of the enterprise as learned by the client.OLAP allows the users to generate online descriptive or comparative summaries of data and other analytics queries. It designates an element of software and technologies that enable the collection, storage manipulation, and reproduction of multidimensional data with the aim of analysis.It allows the ... Read More

There are three main categories of OLAP tools which are as follows −MOLAP − MOLAP represents Multidimensional OLAP. It supports tuples as the data storage unit. The MOLAP applies a dedicated n-dimensional array storage engine and OLAP middleware to handle data. Hence, OLAP queries are completed through direct addressing to the associated multidimensional views (data cubes).This structure focuses on the pre-computation of the transactional information into the aggregations, which results in fast query execution performance. Particularly, MOLAP pre-computes and stores aggregated measures at each hierarchy level at load time, and stores and indexes these values for immediate retrieval.The full pre-computation ... Read More

OLAP stands for On-Line Analytical Processing. OLAP is an element of software technology that authorizes analysts, managers, and executives to gain insight into data through fast, consistent, interactive access in a wide variety of possible views of information that has been changed from raw information to reflect the actual dimensionality of the enterprise as learned by the client.OLAP allows the users to generate online descriptive or comparative summaries of data and other analytics queries. It designates an element of software and technologies that allows the collection, storage manipulation, and reproduction of multidimensional records with the aim of analysis.It allows the ... Read More

It is the process that manages the queries and speeds them up by directing queries to the most effective data source. This process also ensures that all the system resources are used most effectively, usually by scheduling the execution of queries. The query management process monitors the actual query profiles that are used to determine which aggregations to generate.This process operates at all times that the data warehouse is made available to endusers. There are no major consecutive steps within this process, rather there are a set of facilities that are constantly in operations.Directing queries − Data warehouses that contain ... Read More

Data mining is the process of finding useful new correlations, patterns, and trends by transferring through a high amount of data saved in repositories, using pattern recognition technologies including statistical and mathematical techniques. It is the analysis of factual datasets to discover unsuspected relationships and to summarize the records in novel methods that are both logical and helpful to the data owner.It is the procedure of selection, exploration, and modeling of high quantities of information to find regularities or relations that are at first unknown to obtain clear and beneficial results for the owner of the database.Data Mining is similar ... Read More

Data aggregation is a process in which data is gathered and represented in a summary form, for purposes including statistical analysis. It is a kind of information and data mining procedure where data is searched, gathered, and presented in a report-based, summarized format to achieve specific business objectives or processes and/or conduct human analysis.Data aggregation can be implemented manually or through specialized software. The objective of Aggregation is to get more data about specific teams based on specific variables including age, profession, or income.The data about such teams can then be used for website personalization to select content and advertising ... Read More