Attached. Please let me know if you have any questions or need revisions.Data Warehouse Architecture, Big Data, and Green Computing Paper – OutlineI. IntroductionA. Recent decades have experienced dramatic acceleration in adoption anddevelopment of new technologies.B. This paper will focus on three aspects of new technology including datawarehouse architecture, big data and green technology.C. By analyzing the major components of these aspects of technology, a criticalunderstanding will be gain on the impacts of rapid technological changes and howpeople are adopting to these technologies.D. There are also other important aspects including the demand brough by thesetechnologies, their current trends and their roles in making improvement ofoperations.II. Data Warehouse ArchitectureA. This is a practical technique of defining the general architecture of datapresentation and communication processes existing for end-client that compute inthe enterprise.B. The concepts of a data warehouse have several characteristics including beingself-oriented, non-volatile, time variant and integrated.C. Data warehouse is created through integration of data from different sources suchas relational databases, mainframe and flat files.D. Major Components of a Data WarehouseA. One of the major physical elements is the data warehouse itself: a complexdatabase to store different types of data, with tools to analyze the data.B. There are also such as data loading tools, data transformation tools, dataanalyzing tools.C. The outputs components of a data warehouse incorporate reports, charts anddatasets that are the results of analyzing data.D. There is also a platform in which data warehouses can be on premise orcloud-based.E. One of them is source data: the raw data coming from various sources (otherdatabases, spreadsheets, documents) into the data warehouse.F. Another logical component is the warehouse architecture that has the data,schemas, tables and canned reports that produce human readable information.G. Techniques of Data Transformation in Data Warehousing.i. Among the major forms of data transformation is multistage datatransformation.ii. Another form of data transformation is pipelined data transformation.E. Current Key Trends in Data Warehousing.i.Data warehouses have been around for many years, and they have dealtwell with structured data analysis.ii.Data warehousing will remain and methods will evolve. Also, newertechnologies and cloud will dominate this field and data experts will haveto become vertical centrical to survive.iii.A part of this the data warehouse will move further into the cloudincluding all parts of providing data warehouses for all companies, withany data where they could afford to use it.III. Big DataA. My Understanding of Big Datai.Big Data has been contemporarily been utilized by many sectors. Big Datacan be interpreted as huge capacity of data that cannot be stored oroperated in the traditional systems because of its size.ii.There are some restrictions faced by the traditional management systemsthat Big data cannot overcome like if an individual cannot attach any filethat has data with a size more than 25 MBiii.The whole concept of Big Data has been further subdivided into 5 V’sB. How I Have Seen and Used Big Datai.Professionally, I regularly see and use big data at work. I have workedwith “relatively large” data in industry.ii.At many times I have experienced large amounts of data that would not fitin memory in any of the machines available.iii.I have translated algorithms into MapReduce form, in Java, Python andpseudo-code and analyzed the algorithms to make sure they are efficient.iv.I have always held the belief that understanding how something works,fundamentally, and showing this by being able to write algorithms usingthat technology’s idiosyncrasies and use these for even toy data is avaluable.C. Big Data Demands on Organizations and Data Management Technologyi. Generally speaking, Big Data Analytics refers to the technique of findingmeaningful business insights from huge volumes of data.ii. One of the major demands is security: Security is also a big concern fororganizations getting into Big Data Analytics.iii. hey also have to pay attention to data quality since inaccurate data wouldresult in unreliable insights.iv. Nonetheless, big data has made more organizations to consider the timelyInsights.IV. Green ComputingA. Ways in which Organizations can become “Green.”i.Green computing is using computers in a more ecofriendly andenvironmental responsible way.ii.Renewables is maybe a start, but they require typical datacenters usepower measured in several megawatts, as in millions of watts.iii.Solar panels generate power for an average of 4 hours per day over theyear.iv.The biggest technique is cooling.v.If the data center is in a region where alternative cooling such as anevaporative, or a swamp cooler can be used, it is important for individualsto bring that down much more.vi.Wat…
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