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PowerPoint is Microsoft’s proprietary presentation software that lets you create digital slideshows utilizing a variety of media. Your PowerPoint slideshow is a supplement to your presentation, not a stand-in for it.Slides in PowerPoint. Chapter 1. Introduction . Chapter 2. Know Your Data. Chapter 3. Data Preprocessing . Chapter 4. Data Warehousing and On-Line Analytical Processing. Chapter 5. Data Cube Technology. Chapter 6. Mining Frequent Patterns, Associations and Correlations: Basic Concepts and Methods. Chapter 7. Advanced Frequent Pattern Mining ...PowerPoint presentation slides: Presenting this set of slides with name Data Warehouse Architecture With ETL Process. The topics discussed in these slides are Data Warehouse, Architecture, ETL Process. This is a completely editable PowerPoint presentation and is available for immediate download. Download now and impress your audience.

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Mar 17, 2019. 300 likes | 400 Views. CS 345: Topics in Data Warehousing. Tuesday, October 5, 2004. Review of Thursday's Class. Data integration / ETL Difficult and time consuming Federated database vs. data warehouse Querying the data cube "Slice and dice" queries Cross-tabs, roll up and drill down. Download Presentation. dimension.Phases of the Decision Support Life Cycle 1. Planning 2. Gathering Data Requirements and Modeling 3. Physical Database Design and Development 4. Data Mapping and Transformation 5. Data Extraction and Load 6. Automating the Data Management Process 7. Application Development-Creating the starter sets of reports 8. ….

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Data Warehouse Equipe: Gilmar Ferreira Marcos Costa Ricardo Ara jo - A free PowerPoint PPT presentation (displayed as an HTML5 slide show) on PowerShow.com - id: 804eab-ZTFmYWarehousing Management. Dec 19, 2019. 480 likes | 653 Views. Objectives of Efficient Warehouse Operations Provide timely customer service Keep track of items so they can be found readily & correctly Minimize the total physical effort & thus the cost of moving goods into & out of storage Provide communication links w/ customers.Download Now. Download to read offline. Data & Analytics. Put your Data Warehouse in Cloud which is faster, cheaper and better; then focus only on Business development and everything else is taken by the Cloud Service Provider. P. Pawan Bhargava Follow.

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