File Name: data warehousing and data mining tutorials .zip
- Data Mining Tutorial
- Data Warehouse Tutorial
- Download Data Warehouse Tutorial (PDF Version) - Tutorials Point
Data Mining Tutorial
A data warehouse is built to support management functions whereas data mining is used to extract useful information and patterns from data. Data warehousing is the process of compiling information into a data warehouse. Data Warehousing : It is a technology that aggregates structured data from one or more sources so that it can be compared and analyzed rather than transaction processing. A data warehouse is designed to support management decision-making process by providing a platform for data cleaning, data integration and data consolidation. A data warehouse contains subject-oriented, integrated, time-variant and non-volatile data.
Data Warehouse Tutorial
Sign Out. Sign In. Go to main content Toggle navigation. Sign Out Sign In Search. Database Data Warehousing Guide. Provides conceptual, reference, and implementation material for using Oracle Database in data warehousing. It covers the full range of data warehousing activities, from physical database design to advanced calculation techniques.
in this tutorial, please notify us at [email protected] From Data Warehousing (OLAP) to Data Mining (OLAM) ······································································.
Download Data Warehouse Tutorial (PDF Version) - Tutorials Point
The data mining tutorial provides basic and advanced concepts of data mining. Our data mining tutorial is designed for learners and experts. Data mining is one of the most useful techniques that help entrepreneurs, researchers, and individuals to extract valuable information from huge sets of data. The knowledge discovery process includes Data cleaning, Data integration, Data selection, Data transformation, Data mining, Pattern evaluation, and Knowledge presentation.
Data Mining is a process of finding potentially useful patterns from huge data sets. It is a multi-disciplinary skill that uses machine learning , statistics, and AI to extract information to evaluate future events probability. The insights derived from Data Mining are used for marketing, fraud detection, scientific discovery, etc. Data Mining is all about discovering hidden, unsuspected, and previously unknown yet valid relationships amongst the data.
A Data Warehouse is an environment where essential data from multiple sources is stored under a single schema. It is then used for reporting and analysis. Data Warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data. While a Data Warehouse is built to support management functions.
Types of Data Mining
Data mining is a very important process where potentially useful and previously unknown information is extracted from large volumes of data.
Data Mining is the process of extracting useful information from large database. Useful for beginners, this tutorial discusses the basic and advance concepts and techniques of data mining with examples. Freshers, BE, BTech, MCA, college students will find it useful to develop notes, for exam preparation, solve lab questions, assignments and viva questions.