'Multidimensional data' presentation slideshows

Big Data Analytics Map-Reduce and Spark

1.14k views • 94 slides

OLAP fundamentals

OLAP fundamentals. OLAP Conceptual Data Model. Goal of OLAP is to support ad-hoc querying for the business analyst Business analysts are familiar with spreadsheets Extend spreadsheet analysis model to work with warehouse data Multidimensional view of data is the foundation of OLAP.

969 views • 84 slides

Hierarchies in Data Mining

852 views • 69 slides

Multidimensional Databases

Multidimensional Databases. Prof. Navneet Goyal Computer Science Department BITS, Pilani. Database Evolution. Flat files Hierarchical and Network Relational Distributed Relational Multidimensional. Why Multi-Dimensional Databases?.

690 views • 57 slides

Why Multi-Dimensional Databases?

Why Multi-Dimensional Databases?. No single "best" data structure for all applications within an enterprise Select the most appropriate data structure on a case-by-case basis from a palette of standard database structures Multidimensional Databases for OLAP?. Why Multi-Dimensional Databases?.

777 views • 53 slides

Multidimensional Databases

Multidimensional Databases. Prof. Navneet Goyal Computer Science Department BITS, Pilani. Database Evolution. Flat files Hierarchical and Network Relational Distributed Relational Multidimensional. Why Multi-Dimensional Databases?.

691 views • 52 slides

A Quick Overview of Some Visualization Techniques and Suggestions for Projects

A Quick Overview of Some Visualization Techniques and Suggestions for Projects. Prof. Michael McGuffin ETS, Montreal, Canada http://profs.logti.etsmtl.ca/mmcguffin/.

634 views • 49 slides

Decision Support, Data Warehousing, and OLAP

Decision Support, Data Warehousing, and OLAP. Anindya Datta Director, iXL Center for E-Commerce Georgia Institute of Technology adatta@cc.gatech.edu. Outline. Data Warehousing Architecture Terminology: OLTP vs. OLAP Technologies Products Research Issues References. Data Warehouse.

774 views • 47 slides

OLAP and Data Warehousing

OLAP and Data Warehousing. Surajit Chaudhuri Microsoft Research, Redmond, WA, USA surajitc@microsoft.com Umeshwar Dayal Hewlett-Packard Labs., Palo Alto, CA, USA dayal@hpl.hp.com. What is OLAP?. O n- L ine A nalytical P rocessing

657 views • 46 slides

Multidimensional Data Analysis

Multidimensional Data Analysis. IS 247 Information Visualization and Presentation 22 February 2002 James Reffell Moryma Aydelott Jean-Anne Fitzpatrick. Problem Statement. How to effectively present more than 3 dimensions of information in a visual display with 2 (to 3) dimensions?

608 views • 43 slides

Decision Support

Decision Support. Chapter 25. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

479 views • 37 slides

Data Warehouses, Decision Support and Data Mining

461 views • 30 slides

Data Mining Concepts and Techniques Course Presentation by Ali A. Ali

Data Mining Concepts and Techniques Course Presentation by Ali A. Ali Department of Information Technology Institute of Graduate Studies and Research Alexandria University (EGYPT) 2014. Data Warehouse.

399 views • 28 slides

Decision Support

Decision Support. Chapter 23. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

327 views • 24 slides

300 views • 18 slides

Decision Support

Decision Support. Chapter 23. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

275 views • 17 slides

Working with Scientific Data using Mosaic Dataset

Working with Scientific Data using Mosaic Dataset. Hong Xu, Dan Zimble. Scientific Data. Data used in Ocean, Weather, Land, Atmosphere, and etc. Multidimensional Variables are captured in multiple times and depths Temperature / Time Salinity / Depth Pressure / Altitude

313 views • 13 slides

Data Warehousing and Decision Support

Data Warehousing and Decision Support. Introduction. Increasingly, organizations are analyzing current and historical data to identify useful patterns and support business strategies.

213 views • 13 slides

Retraining of the SAMANN Network

Retraining of the SAMANN Network. Viktor Medvedev , Gintautas Dzemyda {Viktor.m, Dzemyda}@ktl.mii.lt Institute of Mathematics and Informatics Vilnius, Lithuania. 32nd International Conference on Current Trends in Theory and Practice of Computer Science Student Research Forum

139 views • 4 slides

ELEC 460 Control Theory and Systems II

ELEC 460 Control Theory and Systems II. Digital Controllers for Analog Systems Transfer Function Approach Lead, Lag, PID controllers State-Space Approach State Feedback controllers Controller Implementation. ELEC 483 Digital Video Processing. Multidimensional Data (Space/Time)

157 views • 3 slides