final portfolio

Tahseen

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the not unusual layers in warehouse architecture. Supply facts issue Supply data factor under statistics warehouse may be categorized into numer- ous companies which includes manufacturing information, internal records, archived statistics and external information. Statistics staging com- ponent

This element takes area in which obtaining records from diverse resources has to be changed, modified and organized in a shape this is powerful for evaluation and inquiring. The main position which takes region in staging places includes obtaining, statistics conversion, and data loading. The information sources for useful systems includes recent statistics that needs statistics organized in a powerful and brief processing manner. Metada- ta element Metadata is an equal statistics catalog within system database management. In information, data catalog is stored on corporations of logical facts. In addition, the records basing at the addresses and documentations, the records basing on indexes are stored. Data warehouse Trends

According to today’s world there are various changed basing on the information warehouses. There is usage of administered facilities which are simply the normal type of the higher level service where various encounters are addressed through cloud inevitably. Various problems are man- aged through cloud offers when using such managed services. According to the information warehouse architecture, one is able to use the whole administered managed ETK services like Azura Data Factory and Amazon (Fernando, 2018). After using such services, it is simple to look for inter- connectivity facilities in the cloud like reducing efforts and application. Additionally, cloud services provisioning and infrastructure patterns are sim- plifying it to bring up resolutions of information warehousing. Business are bale of using In-Memory Analytical Engines. During operations of functional and analytics, it effectively uses the engines for in-memory processing. These may import big data and hence process them in paral- lel for faster visualization and engines (Fernando, 2018). Giving example of organizations based on cloud services as mentioned above, they have BI embedded available readily for in-memory visualization and analytics. There is also information marts for the line production. This enables provi- sion of solutions through containment to the information warehouse and each kind of business unit for evaluating in alienating their information.

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Nevertheless, there is Information Lake motivated which explain the information scheme on reading. Centrally, data warehousing normally explain schema to write, the popular technology of the information lake using supplied stowage and processing with the usage of instruments like Hadoop file systems. Further, it may be essential for information warehousing where it will enable post- processing the information in a parallel and effec- tive process, lowering expense and time. The last issue bases on columnar stowage that advances the disk performance compared to raw-based stowage when recovering complicated queries of evaluations. Information warehouses can give such capacities in the cloud based Amazon Redshift for stowage and querying at a cheaper expense. Such services lowers the complication to set up information and give entry control, in- tegrate varied discourses and others. Prompt 2 "Big Data" (2-3 pages): Describe your understanding of big data and give an example of how you’ve seen big data used either personally or professionally. In your view, what demands is big data placing on organizations and data manage- ment technology? Big data is acknowledged as large data set that is likely to be evaluated computationally to show series, trends and connections more so connecting people behavior and interactions. Many organizations are using big data today to make effective decisions and progress in their performances. It has been widely used in various requirements as per the organizations. The usage of big data varies from one organization to an- other. It has been widely demanded by organizations since big data analytics is taken as a complicated procedure that evaluates distinctive and large information sets in realizing information. Organizations like Facebook and Google have revealed that a plan of solid information management may result to a big distinctive analysis to decide on business performance (Wamba, et al. 2017). Managers in charge of IT are required to take part in determination of obtaining meaning from big data organizations. These managers have to acknowledge big data and what should be done in assist- ing the organization to make effective plan of management. The big data analytic approach has been trending for many years across the globe. Big data evaluations assists the companies normally in harnessing their information and employing it to determine new chances. These results to effec- tive business achievement, higher profits, additional effective operations and joyful clients. The technology based on the on the concept such as cloud based analytics and Hadoop tend to introduce effective expense gains in terms of storage of huge big data (Wamba, et al. 2017). Another way on which big data has been used in organization is in Hadoop analytics combined with the capacity to evaluate new information sources. Organiza- tions are able of evaluating information sooner and create a decision oriented on what they studied. The capacity to have customer satisfaction and demands through analytics, the enterprise gets the capacity of offering clients with whatever they require. This makes it simpler for organizations to come up with products to satisfy customer’s needs. The big data analytics makes it simpler for information scientist, analytics, statisticians, de- signers, predictive modelers and other experts to evaluate the information that are normally remained through analytical program, convectional and BUI (Wamba, et al. 2017). These activities motivate mix of non-organized and semi-organized information. Giving an example, web server logs, social media contents, messages from customer’s email, survey responses, and machine information captured through sensors to Internet of Things and others. IT managers are affected by the bid data in various ways within their operations. It is clear that traditional connection data- bases may not effectively handle big data and such makes it important to look for options. The new processes and tolls can be required in man- aging the big data that flows back and forth across the business and to undertake analysis and manufacturing. In addition, new strategic systems can be needed too since information may be gathered and kept whether it’s worth is recognized or not. Business people who tend convey written document to the IT department does wrong to the organization when consideration of real time information evaluation is in motion. As an out- come, there is need to develop new tools or acquired for the users to get the essential information required on their won. Managers in charge may wish to add more staffs in order to enhance the software and hardware needed for handling big data. They have to ensure that IT department is team working with the related shareholders in building strategies likely to deliver outcomes that can be evaluated. The effective information man- agement component are kept, security, information reconciliation, insight supply in the organization and data obtaining. Prompt 3 “Green Com- puting” (2-3 pages):

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One of our topics in Chapter 13 surrounds IT Green Computing. The need for green computing is becoming more evident, considering the amount of power needed to drive our computers, servers, routers, switches, and data centers. Discuss ways in which organizations can make their data centers “green”. In your discussion, find an example of an organization that has already implemented IT green computing strategies successful- ly. Discuss that organization and share your link. You can find examples in the UC Library. Green data is essential when it comes to integrating as- sessment of sustainability. Although it does not create waste products, the high water and energy department has to prioritize their programs

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Student paper 81% Student paper 85%

of sustainability because the demand for assessment, efficient services and clean energy increases. Big organizations like Facebook, Google and Apple are turning green with distinctive innovative ways that are helpful and innovative during long run. Managers are forced to reduce electri- cal use of services to the surrounding focus and cost savings. It is well noted that the expense of operating electrical usage seems to be more than the original expense of the main server purchase of the server (Liu, et al., 2016). Organization acknowledged as data oriented like Yahoo, Microsoft, Google moved their information Columbia River based on Washington in order to gain from the less costly hydroelectric power. In 2019, Microsoft entered into an agreement with Singapore solar energy offer to distribute its information centers with electricity from solar panel.

During the previous year, Google had decided to buy 3 gigawatts of renewable energy from the wind and solar stations from South Dakota, Iowa, and Oklahoma. Mostly, Microsoft depends on wind energy for powering its information stations in Wyoming, and Apple at the moment depends on 100% green energy. In addition, organizations are able to adjust to a climate cooling approach. A critical number if information power bills are normally from the expense of cooling machines. Organization are expected and have to cool their big data sources through usage of natural climate. These companies are figuring out new information stations within cold areas like Norway and Ireland. Giving an example, Microsoft is looking at the capability to construct information stations that maybe under the seas to ensure additional cost for electricity is saved. Anoth- er way green data is used is through server efficiency. Data centers normally lower energy demands when constructing green energy into server infrastructure. They depend heavily on computer facilities like those allowed with GPUs graphic processing units apart from the tradi- tional CPUs (Liu et al. 2016). GPU is considered as a train whose expense of energy is greater compered to people’s vehicle, though they are effec- tively assessed in energy consumer per commuter. The consumption proficiency enables information centers to replace 200 facility machines that CPU powers with 109GPU oriented server, reducing waste hence convertible physical footprint. An example of a company that has wholly inte- grated green data is Apple Inc. As a portion of its determination to fighting climate reforms and come up with an effective surrounding, it notified that its facilities across the world are power-driven with clean energy 100 %. The attainment includes retail stores, information stations, offices and collocated services in 43 counties like India, China, and the United Kingdom and the United States Apple (2018). The organization added that nine processing associates dedicated to manufacturing 100% clean energy introduces total determination from distributors to 23. Thus, Apples and its associates are determined to renewable energy processes across the world. This has then led to advancement of energy alternatives for Nations, previous nations and local societies. Apples normally builds new renewable energy that is likely not to prevail anymore. Such plans are oriented on varied energy sources includes wind farms, solar rays and new technologies like biogas fuel cells, energy stowage technologies and micro-hydro generation systems (Apple, 2018). Apple is considered to be having 25 functioning renewable energy sources process worldwide giving a total of 626 megawatts from Solar PV generation. The organization’s determination has helped it to set an example to other organizations which bases on data centers.

References

Ahmed, E., Yaqoob, I., Hashem, I. A. T., Khan, I., Ahmed, A. I. A., Imran, M., &Vasilakos, A. V. (2017). The role of big data analytics in Internet of Things. Computer Networks, 129, 459-471. Apple (2018). Apple now globally powered by 100 percent renewable energyRetrieved from: https://www.apple.com/ke/newsroom/2018/04/apple-now-globally-powered-by-100-percent-renewable-energy/ Blažić, G., Poščić, P., &Jakšić, D. (2017). Data warehouse architecture classification. In 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) (pp.

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1491-1495). IEEE. Fernando. A. (2018). Emerging Trends in Data Warehousing and Analytics in Cloud. Retrieved from: https://dzone.com/ar- ticles/emerging-trends-in-data-warehousing-and-analytics

Liu, Q., Ma, Y., Alhussein, M., Zhang, Y., & Peng, L. (2016). Green data center with IoT sensing and cloud-assisted smart temperature control sys- tem. Computer Networks, 101, 104-112. Wamba, S. F., Gunasekaran, A., Akter, S., Ren, S. J. F., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm performance: Effects of dynamic capabilities. Journal of Business Research, 70, 356-365.

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Student paper

FINAL PORTFOLIO 11 FINAL PORTFO- LIO PROJECT

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Final Portfolio Project Final Portfolio Project

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FINAL PORTFOLIO 1

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FINAL PORTFOLIO PROJECT 1

8/7/2020 Originality Report

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Bog Data, Warehouse Architecture and Green Data

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Big Data, Data Warehouse Architec- ture and Green Data

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Information architecture is essential as it bridges technical execution and business plan.

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Data architecture is critical as it bridges technical execution and business strategy

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The records is generally stored in a structure that's optimized to query and evaluate data as a warehouse of data.

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Data is typically stored in a structure which is optimized to query and ana- lyze data as a warehouse of data

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Statistics staging component

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Data staging component

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Data warehouse Trends

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Data warehouse Trends

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During operations of functional and analytics, it effectively uses the en- gines for in-memory processing.

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During the performance of opera- tion and analytics, it efficiently uses the engines for in-memory processing

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These may import big data and hence process them in parallel for faster visualization and engines (Fer- nando, 2018).

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Such may import massive data mounts and process them in parallel for faster visualizations and engines (Fernando, 2018)

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Information warehouses can give such capacities in the cloud based Amazon Redshift for stowage and querying at a cheaper expense.

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Data warehouses can give such abili- ties in the cloud-like utilizing Amazon Redshift both for querying and stor- age at a lower cost

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Such services lowers the complica- tion to set up information and give entry control, integrate varied dis- courses and others.

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Utilizing such services lowers the in- tricacy to set up a facts stockroom, and provides the right of entry con- trol, integrate different discourses and others

8/7/2020 Originality Report

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Student paper

Prompt 2 "Big Data" (2-3 pages): De- scribe your understanding of big data and give an example of how you’ve seen big data used either per- sonally or professionally. In your view, what demands is big data plac- ing on organizations and data man- agement technology?

Original source

Prompt 2 "Big Data" (2-3 pages) De- scribe your understanding of big data and give an example of how you’ve seen big data used either per- sonally or professionally In your view, what demands is big data plac- ing on organizations and data man- agement technology

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Student paper

The big data analytics makes it sim- pler for information scientist, analyt- ics, statisticians, designers, predic- tive modelers and other experts to evaluate the information that are normally remained through analyti- cal program, convectional and BUI (Wamba, et al.

Original source

The big data analytics makes it sim- pler for data researchers, big data analytics, analysts, predictive model- ers, and different experts to analyze the information that are typically left by the ordinary, analytical projects and BUI (Wamba, et al

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Student paper

Giving an example, web server logs, social media contents, messages from customer’s email, survey re- sponses, and machine information captured through sensors to Inter- net of Things and others.

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Examples are internet clickstream data, web server logs texts from client’s emails, social media content, survey responses, machine data cap- tured by sensors to IoT internet of things, and others

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IT managers are affected by the bid data in various ways within their operations.

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IT managers are impacted by big data in various ways

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Student paper

The new processes and tolls can be required in managing the big data that flows back and forth across the business and to undertake analysis and manufacturing.

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The new tools and processes can be needed in managing the big data that flows back and forth across the business and to carry out processing and analysis

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As an outcome, there is need to de- velop new tools or acquired for the users to get the essential informa- tion required on their won.

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Therefore, new tools need to get es- tablished for the users to attain their required essential information

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Student paper

Managers in charge may wish to add more staffs in order to enhance the software and hardware needed for handling big data.

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Managers may want to add or train staff to enhance software and hard- ware required for handling big data

8/7/2020 Originality Report

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Student paper

Prompt 3 “Green Computing” (2-3 pages): One of our topics in Chapter 13 surrounds IT Green Computing. The need for green computing is be- coming more evident, considering the amount of power needed to drive our computers, servers, routers, switches, and data centers. Discuss ways in which organizations can make their data centers “green”.

Original source

Prompt 3 “Green Computing” (2-3 pages) One of our topics in Chapter 13 surrounds IT Green Computing The need for green computing is be- coming more evident, considering the amount of power needed to drive our computers, servers, routers, switches, and data centers Discuss ways in which organizations can make their data centers “green”

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Student paper

In your discussion, find an example of an organization that has already implemented IT green computing strategies successfully. Discuss that organization and share your link. You can find examples in the UC Library.

Original source

In your discussion, find an example of an organization that has already implemented IT green computing strategies successfully Discuss that organization and share your link You can find examples in the UC Library

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Student paper

Although it does not create waste products, the high water and energy department has to prioritize their programs of sustainability because the demand for assessment, effi- cient services and clean energy increases.

Original source

although data centers never gener- ate waste products, this high water, and high energy sector must priori- tize their programs of sustainability because the demand for measures of sustainability, efficient facilities and clean energy increase (Liu et al

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Student paper

Big organizations like Facebook, Google and Apple are turning green with distinctive innovative ways that are helpful and innovative during long run.

Original source

Big companies such as Google, Face- book, and Apple are going green with different innovative ways that are constructive and futuristic in the long run

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Student paper

It is well noted that the expense of operating electrical usage seems to be more than the original expense of the main server purchase of the server (Liu, et al., 2016).

Original source

The expense of operating an electri- cal usage or a server is more con- trasted with the initial expense of the original server acquisition of the server (Liu, et al., 2016)

8/7/2020 Originality Report

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Student paper

Organization acknowledged as data oriented like Yahoo, Microsoft, Google moved their information Co- lumbia River based on Washington in order to gain from the less costly hydroelectric power.

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As such, metadata centres like Google, yahoo and Microsoft moved their data close to Columbia river on Washington/Oregon border to bene- fit from the cheap hydroelectric power

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Student paper

In 2019, Microsoft entered into an agreement with Singapore solar en- ergy offer to distribute its informa- tion centers with electricity from so- lar panel.

Original source

In 2019, Microsoft signed an agree- ment with Singapore Solar Energy to power its data centers with power from the solar panels

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Student paper

During the previous year, Google had decided to buy 3 gigawatts of re- newable energy from the wind and solar stations from South Dakota, Iowa, and Oklahoma.

Original source

On the other hand, in 2018, Google decided to buy renewable energy of 3 gigawatts from South Dakota, Ok- lahoma, and Iowa wind and solar stations

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Student paper

Mostly, Microsoft depends on wind energy for powering its information stations in Wyoming, and Apple at the moment depends on 100% green energy.

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Microsoft is reliant on wind energy for powering its data centres in Wyoming, and Apple currently relies on 100 percent green energy

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A critical number if information pow- er bills are normally from the ex- pense of cooling machines.

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A critical number of information power bills are consistently from the expenses of cooling machines

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Student paper

Another way green data is used is through server efficiency.

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Server efficiency is another way the company can use green data

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Student paper

Data centers normally lower energy demands when constructing green energy into server infrastructure.

Original source

Data centers usually reduce energy demands when they build green en- ergy into server infrastructure

8/7/2020 Originality Report

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They depend heavily on computer facilities like those allowed with GPUs graphic processing units apart from the traditional CPUs (Liu et al.

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They rely on denser commuter ser- vices such as those enabled with GPUs graphics processing units apart from the traditional CPUs (Liu et al

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Student paper

An example of a company that has wholly integrated green data is Apple Inc.

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Apple is a company that has fully in- tegrated green data

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Student paper

The attainment includes retail stores, information stations, offices and collocated services in 43 coun- ties like India, China, and the United Kingdom and the United States Apple (2018).

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The attainment entails trade stores, information centers, offices, and col- located facilities in 43 nations, which include India, China, and the United Kingdom and the United States Apple (2018)

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Student paper

Such plans are oriented on varied energy sources includes wind farms, solar rays and new technologies like biogas fuel cells, energy stowage technologies and micro-hydro gen- eration systems (Apple, 2018). Apple is considered to be having 25 func- tioning renewable energy sources process worldwide giving a total of 626 megawatts from Solar PV generation.

Original source

Such projects are based on different energy sources which includes wind farms, solar rays and emerging tech- nologies such as micro-hydro gener- ation systems, biogas fuel cells, and energy storage technologies (Apple, 2018) Apple has 25 operational re- newable energy processes across the world which total to 626 megawatts from solar PV generation

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Student paper

Ahmed, E., Yaqoob, I., Hashem, I.

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Ahmed, E., Yaqoob, I., Hashem, I

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Student paper

T., Khan, I., Ahmed, A.

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T., Khan, I., Ahmed, A

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A., Imran, M., &Vasilakos, A.

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A., Imran, M., & Vasilakos, A

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Student paper

The role of big data analytics in In- ternet of Things. Computer Net- works, 129, 459-471.

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The role of big data analytics in In- ternet of Things Computer Net- works, 129, 459-471

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Student paper

Apple now globally powered by 100 percent renewable energyRetrieved from: https://www.apple.com/ke/news- room/2018/04/apple-now-globally- powered-by-100-percent-renewable- energy/ Blažić, G., Poščić, P., &Jakšić, D.

Original source

Apple now globally powered by 100 percent renewable energyRetrieved from https://www.apple.com/ke/news- room/2018/04/apple-now-globally- powered-by-100-percent-renewable- energy/ Blažić, G., Poščić, P., & Jakšić, D

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Student paper

Data warehouse architecture classifi- cation. In 2017 40th International Convention on Information and Communication Technology, Elec- tronics and Microelectronics (MIPRO) (pp.

Original source

Data warehouse architecture classifi- cation In 2017 40th International Convention on Information and Communication Technology, Elec- tronics and Microelectronics (MIPRO) (pp

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Student paper

Emerging Trends in Data Warehous- ing and Analytics in Cloud.

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Emerging Trends in Data Warehous- ing and Analytics in Cloud

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Student paper

https://dzone.com/articles/emerg- ing-trends-in-data-warehousing-and- analytics Liu, Q., Ma, Y., Alhussein, M., Zhang, Y., & Peng, L.

Original source

https://dzone.com/articles/emerg- ing-trends-in-data-warehousing-and- analytics Liu, Q., Ma, Y., Alhussein, M., Zhang, Y., & Peng, L

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Student paper

Green data center with IoT sensing and cloud-assisted smart tempera- ture control system. Computer Net- works, 101, 104-112.

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Green data center with IoT sensing and cloud-assisted smart tempera- ture control system Computer Net- works, 101, 104-112

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Student paper

F., Gunasekaran, A., Akter, S., Ren, S.

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F., Gunasekaran, A., Akter, S., Ren, S

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Student paper 100%

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F., Dubey, R., & Childe, S.

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F., Dubey, R., & Childe, S

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Big data analytics and firm perfor- mance: Effects of dynamic capabili- ties. Journal of Business Research, 70, 356-365.

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Big data analytics and firm perfor- mance Effects of dynamic capabili- ties Journal of Business Research, 70, 356-365