Data Warehousing Architecture And Implementation Pdf
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- Data Warehouse Systems
- Data Warehousing: Architecture and Implementation
- Data Warehouse Architecture
- Data warehouse
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Humphries, Michael W. Hawkins, Michelle C. Dy This book delivers what every data warehousing project participant needs most: a thorough overview of today's best solutions, and a reliable step-by-step process for building warehouses that meet their objectives.
Data Warehouse Systems
Thus, any successful plan of one university is not known by other universities since there is no interaction and sharing between them Razak, The core in having a successful e-government is partly contributed according to the way data are supported; the most powerful technology innovations is data warehousing, which can dramatically enhance the ability to improve the access, distribution, and sharing of information and provide managerial decision support for complex questions Ramamurthy, et al.
This is especially vital in supporting data sharing for big scale enterprises, which in this context refers to higher education institutes. A collaborative resource of data sharing would be the aim for each HEI in supporting decision making processes.
This paper aims to present a proposal for the development of an architecture model to support the collaboration of data among universities in Malaysia based on DW technology. Literature ReviewEstablishing productive relationships between universities has been a major goal for many academic institutions; it is obvious that technology is used in collaborative and cost-effective way to deliver services that were beneficial for the Higher education sector.
MyTO SystemIn Malaysia, some of projects have been adopted to develop the partnership among the universities; one of these projects was electronic thesis dissertation ETD. MyTO uses the open source approach to develop a retrieval system.
To realize the theses central repository, data conversion strategies were outlined and adapted the Dublin Core interoperable metadata standard in managing its resources for more flexibility in sharing the metadata across multiple systems. This figure shows the interface of user which is used to browse by the MyTo portal to find the specific thesis. Moreover, there is authority to reach this thesis by registering in this system.
The registration gives more ability to user to see and get more information, texts, links and media for each thesis. E-Government and Universities CollaborationCollaboration is known as a recursive process where some of organizations are working together to understand shared goals. In recent years, information sharing has been used in the acceptance of partnership for business, government and non-profit organizations issues and tried to solve social and environmental problems.
Moreover, e-Governments try to enhance sharing information and improve interaction among the government's departments through G2G services. Thus, with efficient information sharing solutions, government agents can be able to share their successful idea and knowledge Lu, In current time, we are witnessing the birth of "Federations of Universities", to make integrated learning environment for students by sharing resources, therefore e-Government can be the base of this federations Ionescu, In addition, the main issue for the e-governance is the limited sharing of the information which means that the data will not be available in every department.
This has created challenges in making decisions and thus, showed down the problem solving process. To meet these needs, there is a new kind of technique such as data warehouse, which has evolved and matured in the last few years; e-government needs data warehouse common storage with data warehouse tools to integrate, analyze and mine its information. Furthermore, e-Government can help university bodies to provide opportunity for universities by using data warehouse common storage.
Thus, the departments can provide a common platform for best performing government and industry seeking employees to interact for projects and researches. Based on that, universities' departments can very easily get the details of universities in various fields with the help of data warehouse Bhanti, et al. E-Government and Data WarehousingData warehouse is "a subject oriented, integrated, nonvolatile and time-variant which can extract collection of data from multisource that uses to support making the decisions" Inmon, The common warehouse gets the different data which are distributed in heterogeneous resources.
Moreover, DW extracts useful information from heterogeneous data sources and loads them to a common warehouse Widom, Actually, application of mining tools to examine and help in strategic government decisions are unattainable unless there is a storage area of exact data across the enterprise value chain.
However, organizing data in e-Government is very important, which mean, a lack of resources in one department and overabundance in the other department, could lead to non-availability of correct data and ease to scatter information.
Therefore, data warehousing has become a better choice for public administration, which have boosted in interaction between data analysis and reporting, as well as, providing categorical structure for static data and variable data Inmon, Indeed, the information is kept in various formats, in different platforms and in heterogeneous data base systems. A pattern is shown at the information requirements at each level and the information flow across levels.
Eventually, information that flows from top fund sanction, allocation and disbursement details is detached to generate information for lower levels.
However, information that flows from lower level such as expenditure details, benefits details, beneficiary details etc. As such, the pattern provides the entire vertical domain of e-government architecture with an ideal domain for the development of data warehousing as shown in Figure 2. Many universities in the world normally work independently, which makes huge gap of interaction and lack of sharing information between them. The data process that data warehouse provides can be made automated or time bound with the help of e-governance application.
Data warehouse can link many universities together inside common storage. This information is sorted and managed properly because of the meta-data. Moreover, data warehouse can classify the information base on the college for each college by using data mart, for example, the information of Information technology IT department of all the linked universities can be found inside meta-data IT storage and so on.
These techniques of data warehouse are very useful for universities that can help them to improve their work and enhance the services that they provide to their staff and students. The data warehouse system can provide quick and easy data incorporation from Malaysian public universities administrators.
The main purpose of the Data Warehouse is to serve as a central reporting and data distribution environment for regulating data and information.
The Data Warehouse acts as a hub, to facilitate the exchange of information between systems and therefore serves as the enterprise information infrastructure Christian, The accessibility, transparency, efficiency and impact of e-government service will be automatically evaluated, because of data warehouse produces a large amount of egovernment information. The architecture of e-government data warehouse is considered as the map that shows how data warehouse can support e-government and how the relation between them looks like.
This will propose architecture of data warehouse which is expected to meet the demand of the data storage needed by e-governance application. Consequently, the architecture of data warehouse for universities is divided into six layers as shown in Figure 4.
First layer is the database layer. The second layer is Extract, Transform and Load ETL Layer;this tool gathers the clear information from universities' databases, then fit this information with operational needs, after that load the collected information into common warehouse. The warehousing layer is the third stage, which saves the universities' information depending on the type and time current information and historical information.
Common warehouse leads to increase information sharing between university's departments. Additionally, it develops the interaction among agencies in these different universities. In addition, it easily responds to staff's queries because of universities information saved in huge warehouse. The fourth stage is data mart layer which save the information depending on the department or college, because meta-data can classify the information based on specific requirements. The fifth stage is tools layer; through this layer the Online Analytical Processing OLAP analyses information to make valuable reports to the universities' departments.
Moreover, it supports multidimensional view to analyze the data. On another hand is the Data mining DM ; it mines information in the warehouse to supply statistics information for universities. Moreover, there is decision support system which can make report to help decision makers and finally ad-hoc tool which provides way to write special user queries. Finally, the last stage is the interface layer that uses e-Government applications to provide analysis and mining information to agencies in universities from the common warehouse by internet and network connections that can provide by webpage.
Secondly, the data of Malaysian public universities must have a proper model of its storage. Thus, Star schema is the most common modeling paradigm in a data warehouse, it is easier to understand and navigate, easy maintenance, which be recommended for most DSS user tools Jarke, et al. The dimensional data is maintained in the dimension tables and the data is maintained in the fact table. The dimension table can connect with the fact table by a key word as well as modified data.
In fact star schema structure has a fast respond for user queries and also has better structure for data in the warehouse; thus, many projects had used it to build their database tables. Figure 5 illustrates the star schema model inside the warehouse. This figure shows structure of the tables inside the database management system.
Therefore, we can see that there are many dimensional tables such as Staff, College, Student, Subject, Schedule, Mark, Address and others. Thirdly, the data of Malaysian public universities should be saved depending on the departments; therefore, data mart can be implemented to do this job. Fourthly, data warehouse tools such as data mining, OLAP, decision support system and ad hoc query need to be implemented depending on the needs of MOHE. Finally, e-government interface can be used to show the dashboards of data warehouse tools.
Moreover, the e-government interface can be used by the administrators in MOHE to see the data analysis and reports. Conclusion and Future WorkWe investigated the application of data warehouse for the e-government, that can provide the electronic information sharing and interaction between universities in higher education.
By extending the depth and width of electronic information sharing from building the data warehouse in the e-government, we proposed architecture to increase information sharing and enhance interaction between the agencies in universities, combing the practical example of Malaysian universities. The proposed method is much more important to improve the standard and quality for the e-government to share knowledge, ideas and information.
Moreover, if the Malaysian public universities want to link their databases together, they need to follow the standard format of extracting data, modeling the data, save data depending on the departments, applying useful tools and using the e-government interface as dashboard interface. The future work of this study is to find the influence factors that affect the electronic information sharing between Malaysian public universities.
The right side contains the DW system and the left side displays databases of the universities. A staging area Staging Database is situated among the database and the multidimensional database MDDB ; staging database encompasses a database for all of the 20 Malaysian universities. Related Papers. Metadata Technique with E-government for Malaysian Universities.
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Data Warehousing: Architecture and Implementation
Same thing with Amazon, see Note 1 below. I was sometimes asked by people who wanted to learn data warehousing to recommend a book for them. They know how to write SQL. They know how to create tables. They know how to query data.
Data warehousing methodologies share a common set of tasks, including business requirements analysis, data design, architectural design, implementation.
Data Warehouse Architecture
In computing , a data warehouse DW or DWH , also known as an enterprise data warehouse EDW , is a system used for reporting and data analysis , and is considered a core component of business intelligence. They store current and historical data in one single place  that are used for creating analytical reports for workers throughout the enterprise. The data stored in the warehouse is uploaded from the operational systems such as marketing or sales.
Explore a preview version of Data Warehousing: Architecture and Implementation right now. This book delivers what every data warehousing project participant needs most: a thorough overview of today's best solutions, and a reliable step-by-step process for building warehouses that meet their objectives. It answers the key questions asked by everyone involved in a data warehouse initiative: project sponsors, developers, managers, and CIOs. And, with over 75 figures, it doesn't just tell you how to get the job done: it shows you.
Data Warehousing: Architecture and Implementation. by Mark Humphries, Michael W. Hawkins, Michelle C. Dy. Released December Publisher(s).
The Guide To Resume Tailoring
Guide the recruiter to the conclusion that you are the best candidate for the data warehouse architect job. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired. Data Warehouse Architect Resume Samples. The Guide To Resume Tailoring. Craft your perfect resume by picking job responsibilities written by professional recruiters.
- Главный бастион, два набора пакетных фильтров для Протокола передачи файлов, Х-одиннадцать, туннельный блок и, наконец, окно авторизации справа от проекта Трюфель. Внешний щит, исчезающий на наших глазах, - открытый главный компьютер. Этот щит практически взломан. В течение часа то же самое случится с остальными пятью. После этого сюда полезут все, кому не лень. Каждый бит информации АНБ станет общественным достоянием. Фонтейн внимательно изучал ВР, глаза его горели.
Когда он шел к выходу по главному коридору, путь ему преградил охранник с телефонной трубкой в руке. - Мистер Беккер, подождите минутку. - В чем дело? - Беккер не рассчитывал, что все это займет так много времени, и теперь опаздывал на свой обычный субботний теннисный матч. Часовой пожал плечами. - С вами хочет поговорить начальник шифровалки.
Лицо немца стало белым как полотно. Беккер был доволен. Ложь подействовала: бедняга даже вспотел. - Че-че-го же вы хотите? - выдавил он заикаясь. - Я ничего не знаю.
Он был установлен на задней стороне компьютерного кольца и обращен в сторону шифровалки. Со своего места Сьюзан могла видеть всю комнату, а также сквозь стекло одностороннего обзора ТРАНСТЕКСТ, возвышавшийся в самом центре шифровалки. Сьюзан посмотрела на часы. Она ждет уже целый час. Очевидно, Анонимная рассылка Америки не слишком торопится пересылать почту Северной Дакоты.
Был субботний вечер, и севильский морг не работал. Молодой лейтенант пустил туда Беккера по распоряжению севильской гвардии - похоже, у этого приезжего американца имелись влиятельные друзья. Беккер осмотрел одежду. Среди вещей были паспорт, бумажник и очки, засунутые кем-то в один из ботинков. Еще здесь был вещевой мешок, который полиция взяла в отеле, где остановился этот человек.