Motivation for Data Mining Over the last three decades, the steady and remarkable advancement of computer hardware technology has resulted in a large supply of powerful and affordable computers, data collection equipment, and storage media. This technology provides a significant boost to the database and information industries, allowing for the availability of a large number...
Category: 7th Semester
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What are the Components of Data Warehouse and it’s need?
Components of Data Warehouse A typical data warehouse consists of four major components: a central database, ETL (extract, transform, and load) tools, metadata, and access tools. All of these components are designed to work rapidly, allowing you to acquire findings and analyze data on the fly. The following are the four major components of a...
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Architecture of data warehouse
Three-tier data warehouse architecture is the most widely used architecture of data warehouse as it produces a well-organized data flow from raw information to valuable insights. It consists of the Top, Middle and Bottom Tier. The top tier is the front-end client tools that presents results through reporting, analysis, and data mining tools. The middle...
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Conceptual Modelling of Data Warehouse
The conceptual data model is a structured business view of data required to support business, processes,record business events and track related performance measures. This model focuses on identifying data used in business but not its processing flow or physical characteristics. It is a concise description of the user’s data requirements without taking into account implementation...
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Introduction to Multidimensional Data Model
Introduction Data warehouses and OLAP tools are based on a multidimensional data model. Data is viewed in the form of a data cube in this approach (models n-dimensional data).The data cube is a metaphor for multidimensional data storage. Usually cubes are 3-D geometric structures, But in data warehousing the data cube is n-dimensional and do not...
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Introduction to Data Warehouse and Data Warehousing
A data warehouse is a repository of information collected from multiple heterogeneous sources and placed in a single site in order to facilitate management decision making. The process of constructing and using data warehouses is known as Data warehousing. Data warehouses are constructed via a process of data cleaning, data integration, data transformation, data loading,...
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Types of Data
There are three main types of data: Record Data Matrix Document Data Transaction Data Graph World wide web Social Network Ordered Spatial Data Temporal Data Sequential Data Genetic Sequence Data Record Data Data that consists of a collection of records, each of which consists of a fixed set of attribute. Data that consists of a...
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Lifecycle of data
The data life cycle is a high-level overview of the processes involved in effective data management and preservation for use and reuse. Because the lessons learned and insights gained from one data project often inform the next, the data life cycle is sometimes portrayed as a loop. The process’s final phase feeds back into the...
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What are Managerial Skills and Roles?
Managerial skills The ability to make business decisions and lead subordinates within a company is defined as a skill. Managerial success is primarily determined by performance rather than by personality traits. The following are some of the most important skills for managers: Technical Skills It is the ability to use specific work equipment or procedures....
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What is Managerial Hierarchy and it’s types?
Managerial hierarchy The arrangement of managerial positions in an organization is referred to as managerial hierarchy. It was practiced to divide authority and responsibility into different levels. It is essential to carry out organizational tasks in a systematic manner. The most common managerial hierarchies used in various organizations are as follows: Top level Management It...