Lenawee s Data Warehousing Initiative: Growing Our Warehouse

Jul 20, 2012

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POP. PurposeOverview of the our implementation of professional learning around data warehousing with DataDirector as its web-based tool. ObjectivesTrace the implementation planUnderstand the measures of successProceduresPowerPoint presentationTour of LISD Curriculum website Answer questions

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Lenawee s Data Warehousing Initiative: Growing Our Warehouse

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1. Lenawee�s Data Warehousing Initiative:Growing Our Warehouse April 1, 2010

Data Mining Data Warehousing

Data Mining Data Warehousing. Data Warehousing and OLAP Technology for Data Mining. What is a data warehouse? A multi-dimensional data model Data warehouse architecture Data warehouse implementation From data warehousing to data mining. What is Data Warehouse?.

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Data Warehousing/Mining Comp 150 DW Data Warehousing and OLAP Technology for Data Mining

Data Warehousing/Mining Comp 150 DW Data Warehousing and OLAP Technology for Data Mining. Instructor: Dan Hebert. Chapter 2: Data Warehousing and OLAP Technology for Data Mining. What is a data warehouse? A multi-dimensional data model Data warehouse architecture

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Data Warehousing De-Mystified

Data Warehousing De-Mystified. Presented to the Annual Georgia Oracle Users Group Conference on March 20, 2006 By Rusty Barnett. Data Warehousing De-Mystified. What do people mean when they call a grouping of data a “Data Warehouse”?

414 views • 24 slides

Data Mining: Data Warehousing

Data Mining: Data Warehousing. Dr. Hany Saleeb. Data Warehousing and OLAP Technology for Data Mining. What is a data warehouse? A multi-dimensional data model Data warehouse architecture Data warehouse implementation Further development of data cube technology

729 views • 36 slides

An Introduction to Data Warehousing

An Introduction to Data Warehousing. Yannis Kotidis AT&T Labs-Research. Roadmap. What is the data warehouse Multi-dimensional data modeling Data warehouse design the star schema, bitmap indexes The Data Cube operator semantics and computation Aggregate View Selection Other Issues.

527 views • 32 slides

Data Warehousing/Mining Comp 150 Data Warehousing Design (not in book)

Data Warehousing/Mining Comp 150 Data Warehousing Design (not in book). Instructor: Dan Hebert. Warehouse Design. What to materialize in the warehouse Which source data? Which summary tables? Which indices? Influenced by both querying and maintenance

554 views • 39 slides

Principles of Data Warehousing

Principles of Data Warehousing . Lecturer: Dr. Bo Yuan E-mail: yuanb@sz.tsinghua.edu.cn. Outline. OLAP. Metadata. Data Warehouse. Data Marts. ETL. Multidimensional Data. Who are our lowest or highest margin customers ?. Who are my customers and what products are they buying?.

852 views • 58 slides

MIS 5346 Data warehousing

MIS 5346 Data warehousing. Concepts and Components Chapters 1 , 2, 7, 14, 15. Agenda. Background Data Warehouse vs Operational Data Store Characteristics of a Data Warehouse Improvements in Data Warehousing Relationship to Business Intelligence.

547 views • 30 slides

Data Mining

Data Mining. Data warehousing and online analytical processing- Ref Chap 4) By Asst Prof. Muhammad Amir Alam. Objective. Definition of data warehouse Major features of data warehouse Why organization use data warehouse Difference between operational database systems and data warehousing

289 views • 11 slides

Chapter 9: data warehousing

Modern Database Management. Chapter 9: data warehousing. Define terms Explore reasons for information gap between information needs and availability Understand reasons for need of data warehousing Describe three levels of data warehouse architectures Describe two components of star schema

809 views • 47 slides

CS490D: Introduction to Data Mining Chris Clifton

CS490D: Introduction to Data Mining Chris Clifton. January 16, 2004 Data Warehousing. Data Warehousing and OLAP Technology for Data Mining. What is a data warehouse? A multi-dimensional data model Data warehouse architecture Data warehouse implementation

635 views • 47 slides

Data Warehouse & Mining

Data Warehouse & Mining. Dr. Abdul Basit Siddiqui Assistant Professor FUIEMS (Lecture Slides Week # 2). Why a Data Warehouse (DWH)?. Data recording and storage is growing: Almost every industry has huge amount of operational data.

450 views • 24 slides

Oracle Database 11g for Data Warehousing

Presenter’s Name Presenter’s Title. Oracle Database 11g for Data Warehousing. Agenda. Technology Monitoring Information Life-cycle Management (ILM) ‏ Oracle Optimized Warehouse Initiative Market. <Insert Picture Here>. <Insert Picture Here>. Technology. Parallel Execution.

735 views • 51 slides

Tutorial Document of ITM638 Data Warehousing and Data Mining

Tutorial Document of ITM638 Data Warehousing and Data Mining. Dr. Chutima Beokhaimook 24 th March 2012. Data Warehouses and OLAP Technology. What is Data Warehouse?. Data warehouse have been defined in many ways

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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

1.43k views • 70 slides

Data Warehousing Designing the data warehouse

Data Warehousing Designing the data warehouse. Instructor: Peter Rawsthorne. Class 2 review. Go to class2.ppt Completion of install TSQL Managing the Project Database design of the data warehouse. OLTP vs. DSS. OLTP Normalization Entity Relationships Classic SDLC DSS Star Schema

343 views • 24 slides

Data Warehousing and OLAP Technology: An Overview

Data Warehousing and OLAP Technology: An Overview. What is a data warehouse? A multi-dimensional data model Data warehouse architecture From data warehousing to data mining. What is Data Warehouse?. Defined in many different ways, but not rigorously.

443 views • 32 slides

Data Warehousing

Data Warehousing. Data Warehousing. Make the right decisions for your organization Rapid access to all kinds of information Research and analyze the past data Identify and predict future trends The construction of data warehouse Involve data cleaning and data integration

765 views • 51 slides

Data Warehousing

Data Warehousing . What is a Data Warehouse?. A data warehouse is a relational database that is designed for query and analysis rather than for transaction processing. It usually contains historical data derived from transaction data, but it can include data from other sources .

214 views • 13 slides

Data Warehousing Issues

Data Warehousing Issues. Lecture Notes. Outline of Lecture. Extraction Wrappers, monitors (change detectors) Integration Cleansing & merging Maintenance Warehousing Specification Optimizations. Warehouse Architecture. Client. Client. Query & Analysis. Loading. Evolution. Warehouse.

365 views • 22 slides

Data Warehousing

Data Warehousing. Objectives. Definition of terms Reasons for information gap between information needs and availability Reasons for need of data warehousing Describe three levels of data warehouse architectures List four steps of data reconciliation Describe two components of star schema

739 views • 35 slides

Leveraging the Microsoft Repository in Your Warehouse

Leveraging the Microsoft Repository in Your Warehouse. Saeed K. Rahimi Graduate Programs in Software University of St. Thomas DWSoft Corporation. Contents. Data Warehousing and Repository The Open Information Model and Meta Data Coalition Microsoft’s Data Warehousing Strategy

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Lenawee s Data Warehousing Initiative: Growing Our Warehouse

Lenawee s Data Warehousing Initiative: Growing Our Warehouse

Presentation Transcript

Data Mining Data Warehousing

Data Warehousing/Mining Comp 150 DW Data Warehousing and OLAP Technology for Data Mining

Data Warehousing De-Mystified

Data Mining: Data Warehousing

An Introduction to Data Warehousing

Data Warehousing/Mining Comp 150 Data Warehousing Design (not in book)

Principles of Data Warehousing

MIS 5346 Data warehousing

Data Mining

Chapter 9: data warehousing

CS490D: Introduction to Data Mining Chris Clifton

Data Warehouse &amp; Mining

Oracle Database 11g for Data Warehousing

Tutorial Document of ITM638 Data Warehousing and Data Mining

Data Warehousing

Data Warehousing Designing the data warehouse

Data Warehousing and OLAP Technology: An Overview

Data Warehousing

Data Warehousing

Data Warehousing Issues

Data Warehousing

Leveraging the Microsoft Repository in Your Warehouse

Data Warehouse & Mining