Sat

04

Jan

2014

Data Warehousing OLAP and Data Mining epub

Data Warehousing OLAP and Data Mining

Data Warehousing OLAP and Data Mining

S. Nagabhushana


Data.Warehousing.OLAP.and.Data.Mining.pdf
ISBN: 8122417647,9788122417647 | 350 pages | 9 Mb


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Data Warehousing OLAP and Data Mining S. Nagabhushana
Publisher: to New Age International Pvt Ltd Publishers




OLAP involves analyzing complex relationships among thousands of data items stored in data marts, data warehouses, etc to discover patterns, trends, & exception conditions. Smith, “ Data Warehousing, Data Mining & OLAP”, Tata McGraw – Hill Edition, Tenth Reprint 2007. In this post, we'll take a look at three more styles: ad-hoc query, OLAP and advanced analytics. DATA MINING AND DATA WAREHOUSING. Data mining software analyzes the vast stores of historical business data & tries to discover patterns, trends, & correlations hidden in the data that can help a company improve its performance. MC9280 Datat Mining and Data Warehousing Syllabus Data Warehousing and Business Analysis: - Data warehousing Components –Building a Processing (OLAP) – OLAP and Multidimensional Data Analysis. DATA WAREHOUSING AND DATA MINING Course Overview„ The course: how what and„ 0. COMPUTER SCIENCE & ENGINEERING. Looking Ahead „ Demos and Labs2 0. Decision Support and OLAP „ III. For folks newer to BI, It entails a user creating a custom report, data set for downloading, etc., via an information retrieval request against a data repository (which could be a set of flat files, database tables, a data warehouse, a data mart, etc.). An OLAP session takes place online in real time. Again, for many of you this will be quite familiar territory.

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