PPT-OLAP & DSS SUPPORT IN DATA WAREHOUSE

By Pooja Sinha Kaushalya Bakde Data Warehouse A data warehouse is a subjectoriented integrated timevariant and nonvolatile collection of data in support of managements decisionmaking processW H Inmon. 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. Channel Product Manager. Motorola Solutions, Inc.. September, 18 - 20, 2014. PAGE . 1. NEXT GENERATION WAREHOUSE EQUALS OPPORTUNITY. PAGE . 2. AGENDA. NEXT GENERATION WAREHOUSE. Warehouse Technologies of the Future: Market Needs in 2018. Tanvi. . Madgavkar. CSE 7330. FALL 2009. What is Data Warehousing?. Ralph Kimball states . that . :. A . data warehouse . is a . copy of transaction . data . specifically structured for query and analysis. . Data Warehousing. An Introduction to Data Warehousing. Michael A. Fudge, Jr.. What is the most important . asset. of any organization?. DATA. Why?. Answer:. Without. . data. :. Do you know your customers?. 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 . 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. Dr. Nicholas Gibbins – . nmg@ecs.soton.ac.uk. 2012-2013. Processing Styles – OLTP. 2. On-Line Transaction Processing. Traditional workloads. ,. . ‘. bread . and . butter. ’. processing . Volumes of data. 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. Report . in Argos. Agenda. What is the Degree Audit . OLAP Report. ? . OLAP: On-Line . Analytical Processing . Accessing Argos . Running the Degree Audit . OLAP Report. . Interpreting the . Report Data. Apache Kylin 2.0 From classic OLAP to real-time data warehouse 李扬 | Li, Yang Co-founder & CTO All rights reserved ©Kyligence Inc. http://kyligence.io BI Visualization HDFS Apache Kylin Hive 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 .