data warehousing 2018




Active, Real-Time, and Intellective Data Warehousing .
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Active data warehousing is the technical ability to capture transactions when they change and integrate them into the warehouse, along with maintaining batch or scheduled cycle refreshes. An active data warehouse offers the possibility of automating routine tasks and

Measuring the Performance of Data Placement Structures for MapReduce-based Data Warehousing Systems
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The exponential growth of data requires systems that are able to provide a scalable and fault- tolerant infrastructure for storage and processing of vast amount of data efficiently. Hive is a MapReduce-based data warehouse for data aggregation and query analysis. This data

Data Warehousing and Mining
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The African Virtual University (AVU) is a Pan African Intergovernmental Organization established by charter with the mandate of significantly increasing access to quality higher education and training through the innovative use of information communication technologies. A Charter, establishing

Preparing data warehousing students to be responsive practitioners
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Abstract Critical thinkers in Operations Research after the Second World War promoted a more proactive role for practitioners. They argued that we should move away from reacting to reality towards shaping reality, indicating a movement within the Nature-Freedom

Data Warehousing and Business Intelligence Project
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All the businesses have their revenues directly dependent on how they reach their customers and the quality of service they provide. Sometimes sales are directly impacted by other factors which need to be known. This project has a prime focus on comparing various

Data Warehousing and OLAP Technologies for Decision-Making Process
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Data warehousing and on-line analytical processing (OLAP) are essential elements of decision support, which has increasingly become a focus of the database industry. Many commercial products and services are now available, and all of the principal database

Brief Introduction of Data Mining and Data Warehousing
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Over the past two decades there has been a huge increase in the amount of data being stored in databases as well as the number of database applications in business and the scientific domain. This explosion in the amount of electronically stored data was accelerated

BUILDING A CULTURE OF DATA DRIVEN DECISION MAKING IN HIGHER EDUCATION USING DATA WAREHOUSING .
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BACKGROUND Strathmore University consists of numerous subsystems crucial for the internal processes, transactions, and operations. These systems include; student registration system (AMS), financial system (Kuali), payroll system, human resource system (Orange)

DESIGN AND SELECTION OF MATERIALIZED VIEWS IN A DATA WAREHOUSING ENVIRONMENT
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In this script, we depict the arrangement of a data warehousing system for a planning associationR. This system plans to help customers in recuperating data for business examination beneficially. The helper diagram of this data warehousing system uses the

AN INTRODUCTION TO DATA WAREHOUSING AND OLAP: PROS CONS
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ABSTRACT OLTP (online transaction processing system), Data warehouse, and OLAP (on- line analytical processing) are fundamentally foremost require of the database set in big business, company fields with a lot of areas. At the present time various services, products

A Survey on Traditional and Cloud Based Data Warehousing Systems
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A traditional data warehouse is a central store of data that has been extracted from operational data sources. Data in a data warehouse is typically subject-oriented, nonvolatile, and of a historic nature, as contrasted with data used in an on-line transaction processing

Prevention and Detection of Cancer Using Data Warehousing and Data Mining Techniques in Andaman and Nicobar Islands
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Cancer is one of the leading causes of mortality and morbidity worldwide. The common sites of cancer have varied distribution in different geographical locations. This study was conducted to detect and prevent cancer using data mining and warehousing techniques in

An Effectual Association of Data Warehousing with the Scenario of Trajectory Applications
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The key goals associated with this research includes to evaluate the assorted perspective of trajectory data warehouse and its related aspects, to perform the implementation based on novel and effective approach on trajectory data warehouse so that the effectual response

An efficient approach of compression for Data Warehousing
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In the current scena, changing business con organizations management needs ta has access to more and. information. Most organizati,, days operating using information echnology as the back operations but the fact is that despite having a large number of power

Designing A Data Warehousing Modelto Support Forecasting and Decision Making for Sales
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Its difficult to make a decision, without enough information because the databases in the branches of Sales department of National Paints factoryare not integrated for management of Information and decisions making. So for this reason we prepared a study on designing of

Framework for Data Warehousing and Mining Clinical Records of Patients: A Review
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The clinical data warehouse (CDW) is a place where health-care providers can gain access to clinical data gathered in the patient care process. It is also anticipated that such data warehouse provide information to users in areas ranging from research to

BEST PRACTICEFOR EVALUATING THE DATA WAREHOUSING (DW), OLAP, BUSINESS INTELIGENCE (BI) OF ENTERPRISE SYSTEMS (ES)
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The paper is presenting a comparative analysis of different benchmarks and approaches for evaluating the IT effectiveness. Under discussion is an expert tool to evaluate the BI competencies of ES and statistical methods for factor analysis. Conclusions are derived

Data Mining Warehousing
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10. Implement the back end of the compiler which takes the three address code and produces the 8086nassembly language instructions that can be assembled and run using a 8086 assembler. The target assembly instructions can be simple move, add, sub, jump. Also

MAPREDUCE RESEARCH ON WAREHOUSING OF BIG DATA
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The growth of social networks and affordability of various sensing devices has lead to a huge increase of both human and non-human entities that are interconnected via various networks, mostly Internet. All of these entities generate large amounts of various data , and BI


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