'Data warehousing' presentation slideshows

1.47k views • 90 slides

Data-Intensive Computing with MapReduce

Data-Intensive Computing with MapReduce. Session 10: Data Warehousing. Jimmy Lin University of Maryland Thursday, April 4 , 2013.

1.06k views • 78 slides

What is Data Warehousing?

What is Data Warehousing?. A data warehousing is a technique for collecting and managing data from varied sources to provide meaningful business insights. It is a blend of technologies and components which allows the strategic use of data.

651 views • 52 slides

Cops & Robbers Las Vegas Style

892 views • 41 slides

Business Intelligence and Decision Support Systems (9 th Ed., Prentice Hall)

Business Intelligence and Decision Support Systems (9 th Ed., Prentice Hall). Chapter 8: Data Warehousing. Learning Objectives. Understand the basic definitions and concepts of data warehouses

1.42k views • 39 slides

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353 views • 33 slides

Benchmark financial brokers

Benchmark financial brokers. Data Warehousing and Data Mining. Terry Lee Sandeep Udhani Tran Ngo Navin Negi. UNIVERSITY OF HOUSTON-CLEAR LAKE. Business Need. Helps owner and regional managers keep track of revenue (sales commission) from each branch.

323 views • 25 slides

Initial Data Load Extension Module Webinar

Initial Data Load Extension Module Webinar . February 4th, 2009. Agenda. Functionality and Demo 15 min. Process and Tools 10 min. Development Technique 5 min. Q & A 30 min. Agenda. Functionality and Demo Process and Tools Development Technique Q & A .

428 views • 23 slides

Data Warehouse Considerations

Data Warehouse Considerations. Monty Bieber Teradata National Practice Partner October 28, 2005. Data Warehouse Considerations. Monty Bieber Teradata National Practice Partner October 28, 2005. The Classic Rock Guide to Data Warehousing. Monty Bieber Teradata National Practice Partner

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Lecture 1: Introduction to databases

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Database Analysis

429 views • 15 slides

Common Warehouse Metamodel (CWM)

567 views • 14 slides

Chapter I Introduction to Data Warehousing

Chapter I Introduction to Data Warehousing. Presented by: Hongying lian Date: 11/07/2000 Course: CSSE 541. Overview. Describe the four levels of analytical processing in modern organizations that will drive the evolution of the data warehousing process

375 views • 14 slides

Informatica online training

Shalomitschool is one of the best training institute to choose when you wants to gain enough working knowledge and practice on Informatica. Training programs at Shalomitschool in different data ware housing modules are designed to provide exhaustive learning experience for students through the medium of internet. Personalized data ware house training sessions at SHALOMIT SCHOOL are based on the interest and degree of expertise of the learner. Experienced real time trainers at SHALOMIT SCHOOL ensure that you get trained wherever you are in around the world. Learning a training program or in specifically learning Informatica course at SHALOMIT SCHOOL is a different experience for the users.

241 views • 13 slides

SharePoint | Big data trainings

http://www.ilabsglobal.com ilabs Technologies which is IT consulting (staffing) and Outsourcing services and Solutions Company provides Microsoft technology professional services like data management, OS deployment services, Migration services, Intune, Office 365, Application packaging process.

269 views • 10 slides

CAVMEN Linux on System z Update 11/13/08

CAVMEN Linux on System z Update 11/13/08. Khaylen Kingsley System z New Workload Leader kkingsl@us.ibm.com. z10BC Announcement. Reduced pricing on specialty engines On October 21, 2008, IBM announced a 50% price reduction on Specialty engines for System z10 BC, now $47,500

369 views • 8 slides

252 views • 7 slides

WebSphere -DB2 Integration

167 views • 6 slides

SSAS Development

Mindfire Solutions has rich experience in development and deployment of OLAP (On-line Analytical Processing) applications both in MS SQL Server 2005/2008. Our user friendly OLAP applications help business analysts to analyze large volumes of data and chalk out strategies not only through pre defined queries/templates but also through adhoc queries /reports generated at real time, thus minimising development effort. Our highly experienced BI (Business Intelligence) Development team has been involved in many OLAP development assignments. We have deep expertise in MDX programming language and SQL Server data-mining design for trend discovery and proactive alert generation. We would be glad to share our expertise in this area in detail with you.

571 views • 5 slides

Topics include: Overview of the CMS Rule on Medicare and Medicaid Incentive Payments Practice Management Systems vs EH

75 views • 0 slides