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Data Structure Articles
Page 134 of 164
What are the requirement of data staging?
There are various requirements of data staging which are as follows −Productivity support − Any system it is decide to implement needs to support basic development environment capabilities such as code library management check-in/check-out, version control, and production and development system constructs. Initially, and for smaller projects, these can be implemented through a standards document, a process description, and a set of standard directories.Usability − The data staging system also must be as usable as possible, given the underlying complexity of the task. In the last few years, this has translated into a graphical user interface. A good interface can ...
Read MoreWhat are the criteria for selecting the data sources?
There are various criteria for selecting the data sources which are as follows −Data accessibility − If two possible feeds exist for the data, one is stored in binary files maintained by a set of programs written before the youngest project team member was born and the other is from a system that reads the binary documents and supports more processing, then the decision is obvious.Data accuracy − As data is passed from system to system, many modifications are made. Sometimes data elements from other systems are added, and sometimes existing elements are processed to create new elements and other ...
Read MoreWhat are the tools of dimensional modelling project?
There are various tools to facilitate the project are as follows −Data Warehouse Bus Architecture Matrix − The matrix produced by the design team in their internal meetings can be cleaned up and used as a presentation support for meetings with several designers, authority, and end-users. The matrix is very useful as a high-level introduction to the design. It provides each audience a look of what the eventual function of the data warehouse will develop into.Fact Table Diagram − After preparing Bus Architecture the matrix, it can prepare a logical diagram of each completed fact table. The fact table not ...
Read MoreWhat is the method for designing an Individual Fact Table?
There are the following methods for designing an Individual Fact Table which is as follows −Choosing the Data Mart − It can be choosing the data mart in the simplest method is the same as choosing the legacy source of information. Typical data marts involve purchase orders, shipments, retail sales, payments, or user connections. These can be an instance of single-source data marts.In some cases, it can define a data mart that should contain multiple-legacy sources. The instance of a multiple-source data mart is user profitability, where legacy sources that define revenue should be combined with legacy sources that represent ...
Read MoreWhat is Dimensional Modeling?
Dimensional modeling is a logical design method that follows to present the data in a standard structure that is perceptive and enables high-performance access. It is genetically dimensional and observes to a discipline that needs the relational model with several restrictions.Each dimensional model is composed of one table with a multipart key, known as the fact table, and a group of smaller tables known as dimension tables. Each dimension table has an individual element primary key that correlates to one of the elements of the multipart key in the fact table. This distinctive star-like structure is known as star join. ...
Read MoreWhat are the approaches of the Business Dimensional Lifecycle?
There are various approaches of Business Dimensional Lifecycle which are as follows −Project planning − Project planning addresses the description and scoping of the data warehouse project, such as readiness evaluation and business justification. These are the tasks because of the high visibility and costs related to data warehouse projects.Project planning targets resource and skill-level staffing requirements, coupled with project task assignments, continuation, and sequencing. The resulting integrated project plan recognizes all tasks related to the Business Dimensional Lifecycle and the parties included. It can deliver as the foundation for the ongoing administration of the data warehouse project. Project planning ...
Read MoreWhat are the trends in data mining?
The trends in data mining are as follows −Application exploration − Early data mining applications targeted generally on helping businesses gain a competitive edge. The exploration of data mining for businesses continues to expand as e-commerce and e-marketing have become mainstream components of the retail market.Data mining is increasingly used for the exploration of applications in several areas, including financial analysis, telecommunications, biomedicine, and science. Emerging software areas contain data mining for counterterrorism (including and beyond intrusion detection) and mobile (wireless) data mining. As generic data mining systems can have limitations in dealing with application-specific issues, it can view a ...
Read MoreWhat are the features of data mining?
There are various features of data mining that are as follows −Data types − Most data mining systems that are accessible in the industry handle formatted, record-based, relational-like data with statistical, categorical, and symbolic attributes. The data can be in the form of ASCII text, relational database data, or data warehouse data. It is essential to test what exact format(s) each system it is treating can handle.Some types of data or applications can require specialized algorithms to search for patterns, and so their requirements cannot be managed by off-the-shelf, generic data mining systems. Rather than, specialized data mining systems can ...
Read MoreWhich of the following areas data mining technology can be applied?
The following are areas in which data mining technology can be used or created for intrusion detection which are as follows −Development of data mining algorithms for intrusion detection − Data mining algorithms can be used for misuse detection and anomaly detection. In misuse detection, training information is labeled as either “normal” or “intrusion.” A classifier can then be changed to detect known intrusions.There is multiple research in this area that has contained the application of classification algorithms, association rule mining, and cost-sensitive modeling. Anomaly detection constructs models of normal behavior and automatically detects significant deviations from it and supervised ...
Read MoreHow can intrusion be detected?
The security of our computer systems and information is at constant risk. The extensive growth of the web and increasing accessibility of tools and tricks for intruding and attacking networks have prompted intrusion detection to become an important element of network administration. An intrusion can be represented as any set of events that threaten the integrity, confidentiality, or availability of a network resource (including user accounts, file systems, system kernels, etc).Some commercial intrusion detection systems are limiting and do not support a whole solution. Such systems generally employ misuse detection approaches. Misuse detection searches for designs of program or user ...
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