PPT-Getting to know SAS A Data Warehouse Mining Tool Stephen Turner 575-6281

Getting to know SAS A Data Warehouse Mining Tool Stephen Turner 5756281 Chris Frala 5756286 1 There and Back Againa SAS Tale WARNING There are A LOT of slides but they are stepbystep examples. By: Harrison Reid. Outline. What is a Data Warehouse Architecture. Five Main Data Warehouse Architectures. Factors That Affect Choosing A Data Warehouse Architecture. Summary. Bibliography. What is a Data Warehouse Architecture. Presented By. Deborah Heile – Data Integration Project Leader. Mufaddal Frosh – Data Warehouse Lead Analyst. TriHealth Introduction. TriHealth Recognition . (2007). Enterprise Data Warehouse. Enterprise Data Warehouse. Data Mining. Data Triangle. Quotes. “Drowning in data but starving for knowledge”. “Computers . have promised us a fountain of wisdom but delivered a flood of data”. Definition. According to Encyclopedia Britannica…. 31.03.2014. (. Muscat. , . Oman. ). OUTLINE. Users Problems and necessity for Data Warehouse. BI . Definition. . and. . Components. Data Warehousing Concepts . DW Goals and Objectives . OLAP and OLTP terms . CS240A . notes by C. . Zaniolo. Most Popular Data Mining Software. Rexer. Analytics Survey (Early 2007) . asked about the tools used often and occasionally. Clearly more popular than the rest were:. Vancouver, BC. Bellingham, WA. The. Cascade Gateway. Variable Message Signs. Southbound. Northbound. CascadeGatewayData.com. Volume. Departure rate. Delay. Queue length (meters). Vehicles in queue. Cascade Gateway data warehouse. Chapter 4. . Data Warehousing and On-line Analytical Processing. Jiawei Han, Computer Science, Univ. Illinois at Urbana-Champaign, . 2017. 1. Chapter 4: Data Warehousing and On-line Analytical Processing. M. ining . Techniques on Survey . D. ata . using R and . Weka. Supunmali Ahangama. 29/11/2013. Outline. Introduction to data mining in R . Introduction to data mining in . Weka. Example. R. X. 2. What is R?. Curriculum vitae. Nama : Rahmat Robi Waliyansyah, M.Kom.. TTL : Jambi, 25 Oktober 1988. Agama : Islam. Status : Menikah. Alamat : Jl. Sawah Besar XI No.05 RT.02 RW.06 Kel. Kaligawe Kec. Gayamsari, Kota Semarang 50164. Enterprise Data World 2016. SanDiego. , Ca – April 17-22, 2016. Luminita . Vollmer. luminita.vollmer@gmail.com. agenda. Intro. It’s 2016 – what’s new!. Use cases for data. Everyday pressures and big data. WEKA WEKA By Susan L. Miertschin 1 Data Mining Data Mining Task Types Numerous Algorithms Task Types Numerous Algorithms Classification Clustering C4.5 Decision Tree K Means Clustering Clustering Disc Head, Asst. Professor,. A.P.C. . Mahalaxmi. College for Women,. Thoothukudi. -628 002.. . Data Mining : . Introduction . to C. oncepts and Techniques. Module overview. Evolution of Database . . — Chapter 3 —. Data Warehouse and OLAP Technology: An Overview. 2. Chapter 3: Data Warehousing and OLAP Technology: An Overview. What is a data warehouse? . A multi-dimensional data model. Data warehouse architecture. . subject-oriented. ,. integrated. , . time-variant. , . and . nonvolatile. . collection of data in support of management’s decision-making process.. A decision support database that is maintained .