Found 427 Articles for Data Mining

Backup and recovery define the process of backing up records in the method of a loss and setting up systems that enable that data recovery because of data loss. Backing up data needed copying and archiving computer information, so that it is applicable in case of data deletion or corruption.The goal of the backup is to make a copy of data that can be renewed in the event of a primary data failure. Primary data failures can be the outcome of hardware or software failure, data corruption, or a human-caused event, including a malicious attack (virus or malware), or accidental ... Read More

Data Warehousing is an approach that can collect and handle data from several sources to provide the business a meaningful business insight. A data warehouse is specifically designed to support management decisions.In simple terms, a data warehouse defines a database that is maintained independently from an organization’s operational databases. Data warehouse systems enable the integration of multiple application systems. They provide data processing by offering a solid platform of consolidated, historical information for analysis.Data warehouses generalize and centralize data in multidimensional space. The construction of data warehouses contains data cleaning, data integration, and data transformation and can be looked at ... Read More

Backup and recovery define the process of backing up records in the method of a loss and setting up systems that enable that data recovery because of data loss. Backing up data needed copying and archiving computer information, so that it is applicable in case of data deletion or corruption.The goal of the backup is to make a copy of data that can be renewed in the event of a primary data failure. Primary data failures can be the outcome of hardware or software failure, data corruption, or a human-caused event, including a malicious attack (virus or malware), or accidental ... Read More

Data Warehousing is an approach that is generally used to collect and handle data from multiple sources to give the business significant business insight. A data warehouse is specifically designed to support management decisions.In simple terms, a data warehouse defines a database that is maintained independently from an organization’s operational databases. Data warehouse systems enable the integration of multiple application systems. They provide data processing by offering a solid platform of consolidated, historical information for analysis.Data warehouses generalize and centralize data in multidimensional space. The construction of data warehouses contains data cleaning, data integration, and data transformation and can be ... 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.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