PPT-Insight gaining from OLAP queries via data movies

Dimitrios Gkesoulis Panos Vassiliadis Petros Manousis UTC Creative Lab Dept of Computer Science amp Engineering Ioannina Hellas Univ Ioannina Hellas work conducted. joint work with Dan . Suciu. (University of Washington). Alexandra Meliou. Hypothetical (What-if. ). Queries. Brokerage company. DB. Key Performance Indicators (KPI). Example from [. Balmin. et al. VLDB’00]:. Statistical Learning Course, Prof. . Saharon. . Rosset. , January 2015. Keren . Levinstein. . Hallak. Overall:. Linear regression with Ridge regularization. Main steps:. Matrix completion. Dates insight. 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. Action Queries. CS1100. 1. Advanced Queries. Action Queries. So far we have used queries to extract and view data. But can also be . used to create tables, perform data entry, modify records, etc. .. – . 24/7 monitoring for . compliance. Product presentation. By <Name>. <Job title>. Q. uantify. Why Quantify Insight?. Recording systems can be vulnerable to many . factors . including interruption by routine IT updates and storage capacity . 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 . Benchmarking . for Excellence. Jill Pringle. Professional Advisor. j. ill.pringle@gov.scot. Insight . (Launched in September 2014) . The online . benchmarking tool designed to help . bring about improvements. Performance tuning SAP NetWeaver BW 7.x. Dr. Bjarne Berg . 2. Agenda. . Background. The Right Design. InfoCubes, DSOs and MultiProviders. Performance at All Levels. Query Design and BOBJ Tips . Pivot Tables. Concept Map. OLAP. Visualization. Pivot Table. Pivot Chart. Charts. BI. Objectives. Define . OLAP & Visualization. Demonstrate Excel’s Pivot Table features.. Segment A:. Visualization. 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. 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. Barzan. . Mozafari. (presented by Ivo D. Dinov). University of Michigan, Ann Arbor. Research Goals. Using statistics to build better data-intensive systems. Faster. How to query petabytes of data in seconds?. 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. Hakeem Walters. DSCI101. Categories. X. Title. Rating. Total Votes. Genre. Ratings of Movies . Which genre out of the many that there are, draws in the most attention?. Top Picks:. Drama. Adventure. Action.