Task1:Research how the OSI Seven-Layer Network Model can be applied to information security. Go to the website, http://www.sans.org/reading_room/whitepapers/protocols/applying-osi-layer-network-model-information-security_1309, for further information.In a 2 page paper provide your answer, pictures,or graphs..Use 2 recourses in APATask2:reply to below student posts in each 100 words.manasa-Big data is a combination of structured, semi-structured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications (Rouse, 2019). Big Data Analytics helps in solving the real world problems in spite of most of its efforts fail. One of the examples is IBM started using Big Data Algorithms that helped City of Boston to reduce the municipal costs by predicting the scenarios when the repairs are most likely needed. They used similar algorithms and technique in Rio, where they not only predicted when the landslides mostly happen but also provided an integrated system which communicates back the response. All these are possible only with enough data and with evolving smart algorithms it helps in reducing costs and improve the effectiveness and efficiency.Over the last few years, Big Data has introduced new techniques and technologies which are mostly turning out to be the alternatives for traditional Data Warehousing and is considered itself as legacy. But it should never be thought as an end of data warehouse rather it should be considered as a transition from traditional approach to cloud based. In the traditional data warehousing, the implementation itself is difficult with high risks of failure and it does not solve all problems and such cases have given the rise for Big Data. Though the traditional systems still exist they have just adapted to cloud as SaaS (Software as a Service) model. So All organizations that have adapted to new technologies such as Big Data, Hadoop in the new era still have data warehouses.shilpa-Big data is a term describing the storage and analysis of large and or complex data sets using a series of techniques including, but not limited to NoSQL, MapReduce, and machine learning” (Olenski, 2015). Here are the real-life examples briefing how the problems were solved using big data in businesses.UPS: This is the biggest package shipping company; this uses big data. This has been using big data for a long time to increase the profits and to becomes efficient and environment friendly. Delivery routes were designed to minimize the fuel consumption that the drivers do not have to take any left turns or wait at the intersections for so long, by doing these kind of measures UPS is able to save about $50 million per year, in maintenance, time and fuel.New York times: This is one of the most selling newspapers in Unites States. Times has reported they have used big data to analyze the information about its residents, like the conditions of their boilers and sprinklers, local taxes, the number of fire incidents, the number of heart attacks that happened inside their building and information about the logged complaints against the roaches or any disturbances. With this information which was collected using big data the city was able to find the stores that sells bootleg cigarettes, they helped shed the tress which were damaged during the hurricane, they helped in addressing the noise and helped in sending out more inspection teams. According to the sources following are the few reasons which explains data warehousing could end because of Big data. Data warehousing does not support multi structured data types or unstructured data types that well, Data warehousing offers poor support for processing that can be limited, or no in-database functions and Data warehousing typically aren’t real time. Whereas these can be engineering to be one, they are expensive, intensive and doesn’t scale very well.But also, I would say data warehousing is evolving from past few years. I would say it is not irrelevant nor dead. Reason that companies choose data warehouse is data and analysis obtained from data warehouse has high value, which helps to increase revenue growth, manage financial risk and legislative compliance. So, the data stored in data warehouse is trustworthy.
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