...Indiana University Health – A Cerner data warehouse in 90 days - Case Study http://www.healthcatalyst.com/success_stories/how-to-deliver-healthcare-EDW-in-90-days/?utm_medium=cpc&utm_campaign=Data+Warehouse&utm_source=bing&utm_term=+data%20+warehousing%20+case%20+study&utm_content=3542719787 Name: Goutham Para Provide brief but complete answers. One page maximum (print preview to make sure it does not exceed one-two pages). Q1: Describe the original data warehouse designed for Indiana University Health and its limitations. Please describe the new data warehouse and the differences between each? The original data warehouse structured and designed for Indiana University Health is traditional enterprise data warehouse. They designed data warehouse by using early binding architecture. There would be errors it takes months to update (health catalyst). Indiana University developed a new data warehouse health catalyst with help of late binding architecture. They promised to complete the work within 90 days as soon as possible with no risk. Health catalyst gave deadline data of 14 billion rows in to Enterprise Data warehouse (EDW), it is totally clinical data for ten years of Indiana university’s health network (health catalyst). The observed difference between both data warehouses is old and slow process. Considering health catalyst is faster for storing enormous data very fast without any faults. Q2: Identify the major differences between a traditional data warehouse and...
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...Enterprise Database Management Systems Copyright © 2012, 2009 by University of Phoenix. All rights reserved. Course Description This course covers distributed computing, middleware, and industry standards as relating to the enterprise data repository. Data warehousing, data mining, and data marts are covered from an enterprise perspective. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • • University policies: You must be logged into the student website to view this document. Instructor policies: This document is posted in the Course Materials forum. University policies are subject to change. Be sure to read the policies at the beginning of each class. Policies may be slightly different depending on the modality in which you attend class. If you have recently changed modalities, read the policies governing your current class modality. Course Materials Coronel, C., Morris, S., & Rob, P. (2011). Database systems: Design, implementation and management (9th ed.). Mason, OH: Cengage Learning. Eckerson, W. W. (2011). Performance dashboards: Measuring, monitoring, and managing your business (2nd ed.). Hoboken, NJ: John Wiley & Sons, Inc. Hoffer, J. A., Ramesh, V., & Topi, H. (2011). Modern database management (10th ed.). Upper Saddle River, NJ: Pearson. Linoff, G. S., & Berry, M. J. A. (2011). Data mining techniques: For marketing, sales, and customer relationship ...
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...Research Proposal Modernizing a data warehouse for business advantage Introduction Ten years ago, Data Warehousing was largely unknown. Today most organizations relay on effective warehousing concepts to analyse data in efforts to predict future trends and assist in decision making. In this increasingly competitive business environment Data Warehousing is one of the most important developments in recent Information Systems. There is a large need to acquire data, anywhere at any time, thus there is a need for a development that can facilitate data from different sources with different formats. What is Data Warehouse? “Data warehouse is the hottest tool in information systems” (W.H. Inoman, 2002). A data warehouse is capable of organizing...
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...Coffing Data Warehousing Education Outline 02/17/05 TERADATA EDUCATION OUTLINE Coffing Data Warehousing has provided quality Teradata education, products and services for over a decade. We offer customized solutions to maximize your warehouse. Toll Free: 1-877-TERADAT Business Phone: 1-937-855-4838 Email: mailto:CDWSales@CoffingDW.com Website: http://www.CoffingDW.com In addition to the course material listed in this outline, we also offer Teradata classes in Teradata Basics, Implementation, SQL, Database Administration, Design and Utilities. Please contact us so we can customize a course to fit your specific needs. © 2006 Coffing Data Warehousing – All rights reserved. Confidential. 1 Coffing Data Warehousing Education Outline 02/17/05 PURPOSE Coffing Data Warehousing has been providing quality Teradata education for over a decade. We offer customized courses to maximize the effectiveness of each class. The purpose of this proposal is to build a lasting relationship with your company. To this end, we have combined our comprehensive Teradata education services in a unique package that we feel best suits the diverse needs of your company while offering our high quality product at competitive pricing. Coffing Data Warehousing is excited to offer you, our preferred partner, an innovative new way to look at training at the CoffingDW Teradata University (CDW-TU). This approach provides the ability to maximize learning potential. Our goal is to make your employees...
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...Week 2 Assignment Kaplan University 12/12/11 Part A What are the primary reasons for changing the current systems? Butler University’s IT department provides and is responsible for technologies in the areas of network and systems, administrative, computing, web applications, instructional technologies among others. Staying on top of new innovative technological offerings is key to the success of how the university operates and conducts their day to day business. As stated in the case study readings, “many of the administrative users are displeased with outdated Centex and Centigram capabilities, although they lauded the communication systems high reliability. (Brown, 179) There was also one major problem with Butler’s current communication system. They were unable to communicate to the entire campus via the current system; in the event of an emergency it would be almost impossible to disseminate emergency information. The overall reason for this change is to improve communication by leveraging newer technologies. What role did Butler’s IS department play? Butler’s IS department will be very instrumental during this process. The IS team will first have to assist with the initial assessment of the current systems to identify the requirements for the new systems. Once the requirements are identified the IS department will also help to identify the right systems that will be acquired to replace Butlers current system. During the...
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...Data Mining/Data Warehousing Matthew P Bartman Strayer University Ibrahim Elhag CIS 111– Intro to Relational Database Management June 9, 2013 Data Mining/Data Warehousing When it comes to technology especially in terms of storing data there are two ways that it can be done and that is through data mining and data warehousing. With each type of storage there are trends and benefits. In terms of data warehousing there are 5 key benefits one of them being that it enhance business intelligence. What this means is that business processes can be applied directly instead of things having to be done with limited information or on gut instinct. Another benefit of data warehousing is that it can also save time meaning that if a decision has to be made the data can be retrieved quickly instead of having to find data from multiple sources. Not only does data warehousing enhance business intelligence and save time but it can also enchance data quality and consistency.This is accomplished by converting all data into one common format and will make it consistent with all departments which ensures accuracy with the data as well. While these key benefits another one is that it can provide historical intelligence which means that analayze different time periods and trends to make future predictions. One other key benefit is that it provides a great return on investment. The reason being that a data warehouse generates more revenue...
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...Data Warehousing Saikrishna Burugula IST 7000 Data Management Wilmington University Abstract A data storage could be a subject-oriented, integrated, time-variant, non-updateable assortment of knowledge utilized in business intelligence and support of organizing decision-making method (Inmon, Strauss & Neushloss, 2008). In data warehousing when the data is stored it is not updated, commonly data warehousing intended for evaluation connected with data source in addition to addressing queries it can be called copy of addressing data (Prabhu, 2002). The key intention with this paper is typically to target on the actual design connected with data warehouse in addition to modeling techniques like ER modeling and Dimensional modeling. Introduction A Data Warehouse is not just a new combination of all of the in business databases in an organization. Because of its attention on business intelligence, exterior data, and time variant information, a data warehouse is usually a special type of database. The good thing is, you should not learn another number of database abilities to do business with a new information storage place. Most data warehouses tend to be relational databases designed in many ways optimized pertaining to selection assistance, definitely not in business information running. Facts warehousing could be the procedure whereby organizations create and gaze after information...
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...Data warehousing is a fairly new but not so new development in the information systems field. Data warehousing can be traced back being in existence since the 1980’s when Teradata in 1983 introduced a database management system (DBMS) designed for decision support systems (Ponniah, 2010). The influence from the two Irish IBM architects Barry Devlin and Paul Murphy who in 1988 laid the foundations for what we call today a data warehouse in their original article “An Architecture for a Business and Information Systems” (Bouman & van Dongen, 2009). It was not long after that Bill Inmon, referred to as the father of data warehousing authored one of the most influential decision support books “Building the Data Warehouse” in 1991(Ponniah, 2010). Since then Prism Solutions in 1991 introduced the Prism Warehouse Manager software for developing data warehouses. The Data Warehousing Institute was also founded 1995 and has and continues to promote data warehousing by way of serving as the leading voice in the business world providing education, research, and support (Ponniah, 2010). With the business environment being more global, competitive, multifaceted and unpredictable there is a need for systems that would satisfy emerging business needs and new technological advances (Wixom & Watson, 2001). The enterprise for enhanced customer relations and e-commerce alone these days require large integrated repositories and advanced analytical repositories (Wixom & Watson, 2001). Data warehousing...
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...Data Warehousing Methodologies Using a common set of attributes to determine which methodology to use in a particular data warehousing project. DATA INTEGRATION TECHNOLOGIES have experienced explosive growth in the last few years, and data warehousing has played a major role in the integration process. A data warehouse is a subjectoriented, integrated, time-variant, and nonvolatile collection of data that supports managerial decision making [4]. Data warehousing has been cited as the highest-priority post-millennium project of more than half of IT executives. A large number of data warehousing methodologies and tools are available to support the growing market. However, with so many methodologies to choose from, a major concern for many firms is which one to employ in a given data warehousing project. In this article, we review and compare several prominent data warehousing methodologies based on a common set of attributes. Online transaction processing (OLTP) systems are useful for addressing the operational data needs of a firm. However, they are not well suited for supporting decision-support queries or business questions that managers typically need to address. Such questions involve analytics including aggregation, drilldown, and slicing/dicing of data, which are best supported by online analytical processing (OLAP) systems. Data warehouses support OLAP applications by storing and maintaining data in multidimensional format. Data in an OLAP warehouse is extracted and loaded...
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...Anx.31 J - M Sc CS (SDE) 2007-08 with MQP Page 1 of 16 Annexure No. SCAA Dated BHARATHIAR UNIVERSITY, COIMBATORE – 641 046 M. Sc COMPUTER SCIENCE For School of Distance Education (Effective from the academic Year 2007-2008) Scheme of Examinations 31 J 29.02.2008 Year Subject and Paper I Paper I Paper II Paper III Paper IV Practical I Paper V Paper VI Paper VII Practical II Project Advanced Computer Architecture Computer Graphics & Multimedia Software Engineering Computer Networks Computer Graphics and Multimedia Lab Advanced Operating System Internet programming and Web Design Data Mining and Warehousing Internet programming and Web Design Lab Project Work and Viva Voce Total University Examinations Durations Max in Hrs Marks 3 100 3 100 3 100 3 100 3 100 3 3 3 3 100 100 100 100 100 1000 II For project work and viva voce (External) Breakup: Project Evaluation : 75 Viva Voce : 25 1 Anx.31 J - M Sc CS (SDE) 2007-08 with MQP Page 2 of 16 YEAR – I PAPER I: ADVANCED COMPUTER ARCHITECTURE Subject Description: This paper presents the concept of parallel processing, solving problem in parallel processing, Parallel algorithms and different types of processors. Goal: To enable the students to learn the Architecture of the Computer. Objectives: On successful completion of the course the students should have: Understand the concept of Parallel Processing. Learnt the different types of Processors. Learnt the Parallel algorithms. Content: Unit I...
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...$30.00 palgrave-journals.com/jit Research article A critical analysis of decision support systems research David Arnott1, Graham Pervan2 1 2 Monash University, Melbourne, Australia; Curtin University of Technology, Perth, Australia Correspondence: G Pervan, Curtin University of Technology, Perth, Australia. Tel: þ 618-92667390; Fax: þ 618-92663076; E-mail: pervang@cbs.curtin.edu.au Abstract This paper critically analyses the nature and state of decision support systems (DSS) research. To provide context for the analysis, a history of DSS is presented which focuses on the evolution of a number of sub-groupings of research and practice: personal DSS, group support systems, negotiation support systems, intelligent DSS, knowledge management-based DSS, executive information systems/business intelligence, and data warehousing. To understand the state of DSS research an empirical investigation of published DSS research is presented. This investigation is based on the detailed analysis of 1,020 DSS articles published in 14 major journals from 1990 to 2003. The analysis found that DSS publication has been falling steadily since its peak in 1994 and the current publication rate is at early 1990s levels. Other findings include that personal DSS and group support systems dominate research activity and data warehousing is the least published type of DSS. The journal DSS is the major publishing outlet; US ‘Other’ journals dominate DSS publishing and there is very low exposure...
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...Integrations of systems, Outsourcing management, testing, storing. It also further performing business such as Business Intelligence, Security applications, Modernization of Legacy and Data Migrations. At present company’s employee strength is over 3500 peoples from different nationalities and it operating across the US, Canada, UK, Europe, Asia Pacifica and Middle East. Thus, Mastek operating eight of world class global delivery center in India and Malaysia. A person who took the cultural experience in this organization is working as a software engineer, who transferred from India Mastek to its UK branch. Nature of the Business Mastek (UK) Using an established framework, Mastek has over two decades of proven experience in the development and maintenance of large enterprise data warehousing and business intelligence decision support systems. Mastek's data warehousing and business intelligence solutions can help drive a lower total cost of ownership for your enterprise and are backed up by delivery models with stringent quality processes to reduce the risk and improve ROI. Mastek has unique solutions that not only monitor and display information but also supply the right information at the right time to support decision-making during real-time operations. Our understanding of data warehousing and business...
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...Facts SAP HANA® – An In-Memory Data Platform for Real-Time Business Objectives Solution Benefits Quick Facts Fast, broad, and meaningful insight at your service Fast, broad, and meaningful insight at your service Real-time analytics No matter what business you’re in, your success may depend on one thing: insight. Not just insight gleaned from standardized reports and data, but insight gleaned from data across your entire enterprise – data that you can use the very second it’s created to help your business thrive. That’s the power of real-time business insight – and that’s the power of the SAP HANA® platform Historically, real-time business insight has not been possible because separate analytical and transaction databases require that numerous complex data models have to be built in order to make data meaningful to business users. There are also scale limitations, as large data sets from different sources in the company can’t be used simultaneously to provide meaningful and instant answers to complex questions. SAP HANA breaks traditional database barriers to simplify IT landscapes, eliminating data preparation, preaggregation, and tuning. You can instantly access huge volumes of structured and unstructured data, including text data, from different sources. SAP HANA is a completely reimagined platform for real-time business. It transforms business by streamlining transactions, analytics, planning, predictive, and sentiment data processing on a single in-memory...
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...in Tasmania Australia Western International University International Business INB 300 March 25, 2009 No doubt everyone is familiar with a computer or sorts, either it are at work, home or right in their very hands. Today’s society requires that we establish and continue to maintain a familiarity with computer through all different kinds of electronic devices. Without information that is passed between individuals, organizations and in this case a startup technology company, there would be no use for electronic devices. Information, or pieces of information called data, is moved around the world at what seems the speed of light. Imperative as it seems more so now a days from sales agents to the average Joe information needs to be accessible in seconds. Having the accurate information as well having the ability to organize and recall data about a particular subject is part of this papers makeup. The other portion of this paper is establishing a set of plans for the business to come into its own. Through discussing what type of technology and product along with a business plan to set this business in motion in Tasmania Australia is the focus of this paper. A start-up company’s way of making sure they become viable and a respected entity is through having a solid product and business plan. For this instance the technology company being discussed centers around the warehousing of data from clients. Data warehousing is the secure storage of electronic information...
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...After looking over Teradata University I found lots of materials that could be helpful, such as articles and power points explaining how business intelligence is used outside of college, as well as career connections, helping students find a career or know where to start looking. I also found many topics that interested me. I have listed the top 20 things that interested me and why; 1. E-Commerce- everything is moving online and to get peoples attention you need an easy, but powerful website. 2. Toolbox for IT- it is a tool every IT person should use, “it enables anyone to access the collective knowledge of a worldwide audience of experienced professionals” (toolbox.com/about) 3. Teradata SQL Assistant- it allows you to work with SQL and could refresh your memory on things that are forgotten 4. Certifications- today many companies are looking for certifications in an area to show that you understand the concept and know how to use it. 5. The analyst reports- the reports give tons of information that can be everyday useful. 6. Teradata Database- it is used to” process queries and filter data.” 7. Teradata Data Lab- it allows you to combine ideas for a whole new idea 8. Teradata Analytics for SAP- it shows data instantly for business understanding. 9. SAS Visual Analytics- access to SAS’s software to understand it better. 10. ERDPlus- it is used as a data modeling tool for classes and is free to use. 11. MicroStrategy- just like SAS...
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