Data Warehousing with FastTrack and PDW

Oct 19, 2012

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Agenda. SQL Server DataWarehouse Offering OverviewFast Track OfferingMotivationBalanced Architecture Approach for DWExample FastTrack Reference ArchitecturesOptimizing Storage, Load and MaintenanceCase StudiesParallel DataWarouse Offering Overview. Agenda. SQL Server DataWarehouse Offering Ov

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Data Warehousing with FastTrack and PDW

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Data Warehousing

Data Warehousing. 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 . What is Data Warehousing?. Bill Inmon states that :

671 views • 25 slides

Data Warehousing and Data Mining

Business Intelligence. The ability of an enterprise to study past behaviors and actions in order to understand where the organization has been, determine its current situation, and predict or change what will happen in the future.. (Imhoff et al. 2003). Evolving Business Intelligence Technologies. .

519 views • 24 slides

Data Warehousing and Data Mining

Data Warehousing and Data Mining. Why Data Mining? — Potential Applications. Database analysis and decision support Market analysis and management target marketing, customer relation management, market basket analysis, cross selling, market segmentation. Risk analysis and management

1.13k views • 50 slides

Data Warehousing

Data Warehousing. -Kalyani. Topics. Definition Types Components Architecture Database Design OLAP Metadata repository. OLTP vs. Warehousing. Organized by transactions vs. Organized by particular subject More number of users vs. less Accesses few records vs. entire table

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Data Warehousing

Data Warehousing. Min Song IS 465. Decision Support and OLAP. Information technology to help the knowledge worker (executive, manager, analyst) make faster and better decisions. What were the sales volumes by region and product category for the last year?

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Data Warehousing

Data Warehousing. DSCI 4103 Dr. Mennecke. Introduction and Chapter 1. Introduction:. Definitions Legacy Systems Dimensions Data Dependencies Model Dimensional Model. Ship Type. Shipper. Ship To. Product. District Credit. Order Item. ContactLocat. Product Line. Sales Order.

441 views • 26 slides

Data Warehousing

Virtual University of Pakistan. Data Warehousing . Lecture-20 Data Duplication Elimination & BSN Method. Ahsan Abdullah Assoc. Prof. & Head Center for Agro-Informatics Research www.nu.edu.pk/cairindex.asp National University of Computers & Emerging Sciences, Islamabad

577 views • 17 slides

Data Warehousing

Data Warehousing. 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. What is Data Warehousing?. Bill Inmon states that :

623 views • 25 slides

DATA WAREHOUSING AND DATA MINING

DATA WAREHOUSING AND DATA MINING. S. Sudarshan Krithi Ramamritham IIT Bombay sudarsha@cse.iitb.ernet.in krithi@cse.iitb.ernet.in. Course Overview. The course: what and how 0. Introduction I. Data Warehousing II. Decision Support and OLAP III. Data Mining IV. Looking Ahead

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Data Warehousing

Data Warehousing. University of California, Berkeley School of Information IS 257: Database Management. Review Java and JDBC Data Warehouses Introduction to Data Warehouses Data Warehousing

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DATA WAREHOUSING

DATA WAREHOUSING. A Curriculum on designing a Data Warehouse. A database filled with large volumes of cross-indexed historical business information that users can access with various query tools.

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Data Warehousing

Data Warehousing. University of California, Berkeley School of Information Management and Systems SIMS 257: Database Management. Review Database Applications: Berkeley’s Environmental Digital Library Data Warehouses Introduction to Data Warehouses Data Warehousing

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Data Warehousing

Data Warehousing. Data Raw piece of information that is capable of being moved and store. Database An organized collection of such data in which data are managed in tabular form with relationship. Data Warehouse

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Data Warehousing

Data Warehousing. What is a data warehouse? A multi-dimensional data model Data warehouse architecture Data warehouse implementation Further development of data cube technology. What is Data Warehouse?. Defined in many different ways, but not rigorously.

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Data Warehousing with MySQL

Data Warehousing with MySQL. MySQL. MS-SQL. Oracle. DB2. Flat Files. MySQL. Workshop Conclusion.

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DATA WAREHOUSING AND DATA MINING

DATA WAREHOUSING AND DATA MINING. Mubarak Banisakher. Course Overview. The course: what and how 0. Introduction I. Data Warehousing II. Decision Support and OLAP III. Data Mining IV. Looking Ahead Demos and Labs. 0. Introduction.

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Data Warehousing and Data Mining

Data Warehousing and Data Mining. Prepared By: Amit Patel http://ajpatelit.hpage.com. Decision Tree. A DECISION TREE is a flowchart-like tree structure, W here each internal node ( nonleaf node) denotes a test on an attribute , E ach branch represents an outcome of the test ,

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Data warehousing with MySQL

Data warehousing with MySQL. MySQL. MS-SQL. Oracle. DB2. Flat Files. MySQL. Free and Open Source Software. MySQL is licensed under GPL.

362 views • 15 slides

Data Warehousing

Virtual University of Pakistan. Data Warehousing. Lecture-6 Normalization. Ahsan Abdullah Assoc. Prof. & Head Center for Agro-Informatics Research www.nu.edu.pk/cairindex.asp National University of Computers & Emerging Sciences, Islamabad Email: ahsan@cluxing.com. Normalization.

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DATA WAREHOUSING AND DATA MINING

DATA WAREHOUSING AND DATA MINING. Which are our lowest/highest margin customers ?. Who are my customers and what products are they buying?. What is the most effective distribution channel?. What product prom- -otions have the biggest impact on revenue?.

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