PPT-Clinical Data Warehouse

A D ata W arehouse is a repository of historical data organized for reporting and analysis It facilitates data access by having data from many sources in one place linked together and easily searchable. 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. Enterprise Resource Planning Systems. Objectives for Chapter 11. Understand the general functionality and key elements of ERP systems.. Understand the various aspects of ERP configurations including servers, databases, and the use of bolt-on software.. Columbia’s Clinical Data Warehouse. Adam Wilcox, PhD. Associate Professor of Biomedical Informatics. Secondary Data Analysis of Electronic Clinical Data. Benefits. Unobtrusive. Fast & inexpensive. Homer R. Warner . and . The Biomedical Informatics Department at . the University of . Utah. Ten . original . contributions. Paul D. Clayton, PhD. Emeritus Professor & Former Chair . Medical Informatics at Columbia University. Student Data User Group . Meeting . 5/20/2015. Agenda. Pennant Accounts Data collection. Graduate Funding . Graduate Admissions – . CollegeNet. collection . Status update - SRS Term Sessions 3-7. Data Warehousing. Components of the Data Warehouse. Michael A. Fudge, Jr.. Recall: . Inmon’s. CIF. The CIF is a . reference architecture . Understanding the Diagram. The CIF is a . reference architecture . 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. By -. . Pooja. . Sinha. . Kaushalya. . Bakde. Data Warehouse. . “A data warehouse is a . subject-oriented. , . integrated. , . time-variant. , and . nonvolatile. collection of data in support of management’s decision-making process.”—W. H. Inmon. the answer to our universities data desires?. Matt Marl. 1. st. Question. How many of you have a Data Warehouse?. How many of you are thinking about it?. BACKGROUND. 14 years in small/medium size FE college managing IT Systems and Data Presentation. 2. Data, Data everywhere. yet .... I can’t find the data I need. data is scattered over the network. many versions, subtle differences. I can’t get the data I need. need an expert to get the data. 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. . — 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 .