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

Data Warehousing OLAP and Data Mining. In organizations and it also provides various mining techniques as well as issues in practical use of Data Warehousing OLAP and Data Mining . One very important application of data ware housing is data mining. In addition to a relational database, a data warehouse environment includes an extraction, transportation, transformation, and loading (ETL) solution, an online analytical processing (OLAP) engine, client analysis tools, and other applications that manage the process of gathering data and delivering it to business users. We have partnered with Amazon to provide a free test drive of OBIEE, BI Publisher, Excel Analysis of OLAP data, Data Mining and Map Views in OBIEE. Check it out at: http://www.vlamis.com/testdrive-registration/. Data mining is the process of identifying relationship among data. Data warehousing and Data mining, DWDM MRIU syllabus DATA Mining and data warehouse. Business Intelligence, Data Warehousing, Informatica, Cognos, AB Initio, OLAP, Business Object, Data Mining, Analytics, Reporting, Performance Management, ETL, DWH, jaspal singh 9891156880. Data warehouse adalah sebuah sistem yang mengambil dan menggabungkan data secara periodik dari sistem sumber data ke penyimpanan data bentuk dimensional atau normal (Rainardi, 2008). Three-Tier Data Warehouse architecture, Types of OLAP Servers, ROAP versus MOAP versus HOAP.