Portable Anthology - Free Essay Example

Sample details Pages: 1 Words: 271 Downloads: 4 Date added: 2018/12/15 Category Literature Essay Type Book review Level High school Tags: Literacy Essay Did you like this example? This is a handy-sized literature text book found at a very affordable price. It offers a collection of temporary and classic literature at a properly balanced selection. For instance, it consists of nine plays, forty stories and two hundred poems which basically assisting in the composition course literature or introductory literature. For the easy understanding and access to the information, the literature is arranged chronologically according to genre and well supported by editorial matter concisely and informatively. Furthermore, it includes a complete guide which is well explained on how to write about literature especially in the fourth edition. This encourages a proportional increase in coverage in close reading of the book. Similarly, this volume of guide purely offers great combination trademark of great value and high quality compared to other popular members in the same series. Furthermore, portable anthology is a real direction on how any given writer can think on how to craft a good argument, speech or essay of any piece of writing. For instance, it shows thinking as the main issue revolving around reading and writing process. Similarly, 40 model essays effectively show rhetoric as an effective tool to essay writing. The models of the essay greatly serve in teaching the connection of writing and reading; that is, specifying on form and styles as tools to success. Many of those who have read some of the essays really love the guide especially to those who get their topics well dealt for. Finally, even though a potable Anthology has many facets, there are some essays which are very problematic. Therefore, they can form a better way in introducing examples about. Don’t waste time! Our writers will create an original "Portable Anthology" essay for you Create order

Slavery was one of the biggest and most heartbreaking...

Slavery was one of the biggest and most heartbreaking situations of racial discrimination. It put an intense and overwhelming feeling of inferiority over African American people that has stuck with them through many decades. Slavery had an extremely severe impact on the development and creation of the new African American culture. The maltreatment and brutality that they were forced to endure and overcome was not the only thing that affected the unfolding of the new and separated community. One major factor that greatly affected the new development of the culture includes the traumatic event of being torn from their home land and removed from all senses of normalness, familiarity and comfort. Their original ways of life and initial†¦show more content†¦The ship rides were no cruise. As many slaves as could fit were crammed into the ships shackled to each other at the hands and feet. Some were even chained to the walls. Families were torn apart, mothers separated from their c hildren, thousands of slaves forced to take a 9 day journey surrounded by strangers. They had about a 5 foot by 2 foot space if that and there were no restrooms or showers. Many diseases spread and many slaves did not make the trip. Those that passed were thrown overboard; some sick were also thrown overboard to prevent the spread of infections and diseases to others. Those who made the trip were hosed down and groomed to seem as healthy was possible then sold at auctions for the highest price. There was also the Triangular Trade. (2) Slaves went from Africa to the West Indies to make sugar. From there the sugar was taken by New England. In New England Rum was taken from there to Africa and then the whole cycle would start back up again. There was an enormous profit to be made and because of this slavery went on for over 200 years; also because a gag rule kept the issue out of discussion. (3) For slaves being separated from their previous culture played a crucial role in the development of the new culture of Africans brought to America. Many were separated from their families and had no familiar or recognizable

Security Breach

Questions: 1. Search the web for news on computer security breaches that occurred during September-December 2015. Research one such reported incident. Prepare a report focusing on what the problem was, how and why it occurred and what are the possible solutions. 2. Research the JPMorgan chase hack case on the web (2015) and prepare a report focusing on the following questions: What was the problem? Who were affected and how? How was the attack carried out? What could have been done to prevent the attack? Answers: Part 1: Security breach Some security breaks in the whole world result in a few ramifications on the lives of various people. It influences the classification and respectability of information in different locales. The case above happened on seven December 2015. What damages buyer's certainty is the failure of the security merchants to keep his or her information secure within the organization. Two months before the event of the assault, one of the security firms in Russia by the name Russian security Kaspersky Lake, declared the rupture of its system. They trusted the essential people in charge of the demonstration were the operators working for a country state. The organization fabricates the well-known antivirus that helps an expansive scope of clients over the globe. It is evident that the specialists pulled off the break with the assistance of a progression of cutting edge and zero-day assault to gather data on the organization's progressed and most recent innovation and administrations. On a good deed, the attack did not emerge. That is so because of the exceptional security that exists inside the undertaking. It was conceivable to recognize the assailants before executing their damage to the business. Amid the period, the organization shielded the client data to keep up its notoriety in the worldwide business sector (Crump, 2015). An accomplished firm just empowers them to clarify their developments and security procedures. They enhanced their framework to avoid future events that may influence the execution of the organization. That incorporates the performance of better discovery gadgets that demonstrates any risk to the organization's data. That will guarantee the wellbeing of the clients' information that imitates to a decent notoriety about the venture. Additionally, the assault was not the shrewd move. The aggressor lost the most costly innovative propelled system that they invested a considerable measure of energy creating. The organization's advances are op en under different acts, for example, the authorizing understandings. That guaranteed that any assailant could not get the benefit to mess around with such data. Moreover, the organization incorporated the new assault vectors in their observing programming. Thus, they activities will not see the light of the day even without further ado. That will serve as a case to different assailants since they will comprehend that they are squandering their time assaulting such a superb organization. The activity could bring about information misfortune for both the clients and additionally the endeavor. The attack could prompt poor administration since their organization does not have the essential data to work. Henceforth, the most influenced in the process were the assailants since their data existed in the organization's checking gadget. They stand an opportunity to confront the arraignment and experience the ill effects of their activity. That may incorporate repaying the organization or suffering a correctional facility term. Despite the fact that it is hard to keep an assault totally, it is judicious to actualize different techniques to check the risk. For example, it is central to reinforcement any information that appears to be helpful to the data. That will lessen the effect of such a risk on the execution of the association. Nevertheless, the headway in innovation advances the break of PC security in different parts of the world. Part II: JPMorgan Chase hack The assault happened in summer and displayed a remarkable effect on JPMorgan Chase. In the main, the influenced incorporate 76 million family units and also 7 million small business (Liu, Sarabi, Zhang, Naghizadeh, Karir, Bailey Liu, 2015). The effect was on the records that accomplished a few outcomes, henceforth prompting losing cash. The figures merely exhibit an evaluation and may be higher meanwhile. Lamentably, the rupture happened at an extremely critical time. That is the point at which the shoppers' trust in the majority of the computerized operations spurned in America. The objective was at the home warehouse and additionally some different retailers in the district. These casualties experienced information misfortune, which influenced their operations in various perspectives. The impact was more prominent on the cards that such individual held with the bank. The objective on the home station has a remarkable effect on near 56 million cards. That speaks to a more prominent misfortune to the people and the trustworthiness of the association. Moreover, it harms the notoriety of the organization that influences its client base in a matter of seconds. JPMorgan is one of the largest financial institutions in the locale. Therefore, it had vital and secret monetary data in its PC framework that moves past the client's charge cards. It incorporates touchy information that aids in central leadership. Consequently, the effect was on both the purchasers and the bank. The assault influenced near one million records as per the CEO of the bank. The event of the strike appears entangled in the management plan of the organization. It seems the programmer got the rundown of the product running on JPMorgan's PCs. Later, they could crosscheck such programming with the current vulnerabilities in every product and web application. That brought the section point into the organization's framework and private information (Liu et al., 2015). That was a recommendation from with numerous abilities concerning bank's legal sciences examinations. These programmers appear to work abroad, and they could get to the points of interest of the customers. That in corporates the names, addresses and the telephone number of the clients. The bank noticed that no government-managed savings amount vanished all the while. Such PC fakes appear to be hard to recognize. Nevertheless, the bank can execute different systems that will guarantee the secrecy of their information and data. They can utilize staff that has more insights concerning PC security to distinguish any issue that may emerge and hurt the organization (Jardine, 2015). The bank ought to have the most recent reports on the working framework and the web server. That may anticipate unapproved access to the system. The bank ought to likewise keep an eye on their inside approach to guarantee that they utilize the most suitable methodologies that advance the security of their framework. Moreover, cloud administrations can enhance the wellbeing of the bank. In spite of the fact that it may appear to be costly, it will help the association to grasp the privacy and uprightness of their data. In particular, the bank ought to utilize a security master that has enough information in PC security and legal sciences. That will help in recognizing such br eaks prior before they happen. That will help the association to spare more assets and to enhance its notoriety in the worldwide business sector. References Crump, J. (2015). Corporate Security Intelligence and Strategic Decision Making. CRC Press. Jardine, E. (2015). Global cyberspace is safer than you think: real trends in cybercrime. Available at SSRN 2634590. Liu, Y., Sarabi, A., Zhang, J., Naghizadeh, P., Karir, M., Bailey, M., Liu, M. (2015). Cloudy with a chance of breach: Forecasting cyber security incidents. In 24th USENIX Security Symposium (USENIX Security 15) (pp. 1009-1024).

Paper free essay sample

Over 70 million people in this country visit a hospital each year, so it is crucial that hospital staff is mentally and physically able to carry out the duties. Recent studies conducted in this county concluded that hospital staff that are burnout because of lack sleep, stress, and hours worked have an important effect on quality care. Burnout is term used to define a person who is feeling over worked and exhausted which is usually caused by spikes in stress levels. The study also discovered that a lot f hospital staff including doctors were pushed to work long hours without time to rest and unwind. Along with the long hours, hospital staff was pushed emotionally and physically which can increase the amount of errors hospital staff can give to their patients. The good news is hospitals across this country is taking notice; the top 25 hospitals in the United States are using new techniques to help staff members deal with the effects of burnout. 1.Introduction The retail Industry reacts rapidly to changing and developing trends that may impact customer demand for pricing and offers, explicit products, customer service, and other features of customers understanding of a retail brand. Earlier, retailers analyzed business data and any other customer report data that was accessible. Today, a huge amount of data is available to them from various retail web-sites, mobile location data from computers, smart phones ND tablets, in-store video and analytic systems, customer demographics, embedded sensors and social media to name a few. This chunk and collection of data available to retailers provides abundance of new opportunities to raise revenue, control costs and converse vying threats. Big Data applications distinguished by the presence of abundance and complex data sets, signifies the acknowledgement of new visions and designs to better understand customer behavior. But in a marketplace infested with delayed economic growth and large costs, retailers are struggling aggressively to boost their hare of customers wallets.The ascent of a new breed of digital customers that wants personalized and promotion-based pricing has made success in this domain even more complicated. Although there are new visions and designs that are acknowledged through these complex data sets, dealing with such voluminous and disparate data sets is a huge challenge for companies. This outburst of data is both an asset and a chance but only if the retailers understand of what it signifies. Retailers are comprehending that the ability of B ig Data cannot be controlled using typical Database management tools. The Big Data application in Retail Industry needs results that can assist them access customer and product knowledge, realize and act with the trends Of customer behavior, and guarantee their continued purpose and endurance in an extremely challenging market. The result needs to instantly assemble and process this amount of data from various channels and understand real-time observations and analytics to generate quick decision for creating true business value.The goal of this paper is to explore Big Data application in Retail industry, review methodologies that include suitable framework, how Big Data is the evolving solution for retailers, challenges involved, current state of Big Data application in retail and its scope in the future. 2. Literature Literature review accounts the description and definitions ideas that are discussed in this paper along with the research in progress and also it points out the expected future of advancing technology and Big Data applications in Retail . . 1 Defining terms which are used in this paper. 2. 1. 1 Big Data Analytics It is the method of analyzing large data sets holding a variety of databases i. E big data to reveal market trends, customer choices, hidden tatters, uncharted correlations, and other beneficial business information. It allows organizations seeking relevant business information and perceptions to analyze a mix of semi-structured, structured and unstructured data.The analytical data can direct to more productive marketing, competitive benefits over opposing organizations, better operational ability, improved customer service, new revenue junctures and other business advantages. The basic goal of Big Data analytics is to assist organizations to make reliable business decisions by allowing predictive meddlers, data scientists ND other analytic professionals to analyze huge amount of transaction data, as well as different patterns of data that may be initiated by common business intelligence plans. That could involve Internet slipstream data and Web server logs, content from survey answers and customer emails and, mobile-phone text call logs and machine data detected by sensors that are connected to the Internet. Determining Big Data with the software tools are usually availed as part of advanced analytics disciplines such as , data mining, text analytics, predictive analytics and statistical analysis. In addition, tat warehouses may not be able to hold the altering requests modeled by sets of big data that require to be updated repeatedly or even persistently.Hence, multiple organizations looking to process, accumulate and analyze big data are turning to a fresh class of technologies that involve Hoodoo and related tools. Those technologies shape the center of an open source software framework that holds the processing of varied and huge amount data sets. In few cases, Hoodoo systems are being accounted as staging areas and platforms for data before it is put into a data wareh ouse for examination. The idea of a Hoodoo data lake that aids as the principal repository for companys arriving streams of raw data, is being advanced by big data vendors. Subsets of the data can be clarified for analysis in such architectures, in analytical databases and data warehouses, or utilizing batch query tools, SQL on Hoodoo and stream processing software technologies, ad hoc queries written in SQL, it can be examined straight in Hoodoo. Even though many vendors presently offer software links between relational databases and Hoodoo, in addition to data integration tools alongside big tat effectiveness, merging data warehouses and Hoodoo systems can be a challenge. . 1. 2 IT Technology and Frameworks in Consideration Today, in the present generation Of information progression, similar anticipation is very critical to execute a huge amount of material in a favorable way. The advancement of aligned actions and computations is the method to achieve finer compliance and execution to manage such large knowledge. In the cutting edge digital world, there are many prevailing analogous adapting methods. Map reduce, a programming model that Google formulated is acknowledged as an intensely prevailing large amount f information altering ideal which is been briskly constricted on and linked along with the erudite society including business people. The commended actions for the Map reduce caches fine aspects analyzed along with adjusting, conveyance, information stockpiling, duplication etc. For executing the adaptability of large information, which are decrease and guide capacities, it will be understandable to know that developers label 2 capacities.The current functions of the Map reduce are subdivided into 3 sections: Easing up sub methods, three applications according sub space, and serrated covering mounts. 2. 1. 2. 1 Map Reduce To process a large amount of data, the applications can be drafted using this framework. Map Reduce mostly separates the data that is administered as an input and the data is processed with the assistance of map tasks in an alongside way. In distributed computing situations, this framework is implied to as a different approach of altering huge information, it is also condemned as DBS and a significant step rearward.Map Reduce is generally disengaged of designs and accounts and therefore, its structure necessitates a single emerging log at resultant information. The last occurrence demonstrates that none of this is colossal, because of the civil argument advances and the two alterations are complementary. Including Aster and Hoodoo, less handlers of DBS acquire tantamount into their frameworks, the Map reduce front-closes. Fig 1: Map-Reduce 2. 1. 2. 2 Hoodoo It helps to examine the data that is extensive in size and is an organized one.To analyze the massive data, it uses an aligned database mode. There are various elements resent for Hoodoo DB. The database connector, executes queries of SQL and establish connection to the database. Information about he data base is controlled by the catalog controls. From compliance and execution of DBS and Map reduce, Hoodoo which is a half and half framework, conveniently accomplishes the best means. Fig 2: Arch texture of Hoodoo System 3. Apache Hoodoo for Retail As power has transposed to consumers, the reality of shopping has altered severely in recent years.Retailers rein in Hoodoo and Big Data to propose consumers Personalized Shopping Experiences. Even while drifting through stores, shoppers can easily search, observe and compare products from any device. Reviews can be exchanged shared about products and retailers wrought social media. In this new tech generated atmosphere, retailers have to compete and make use of new strategies and methods to allure customers. Through many channels, Big data and Hoodoo allow retailers to link with customers at a completely new level by controlling the huge amount of new data accessible today.It assists retailers to integrate, store and analyze an advanced variety of online and offline customer data like e commerce transactions, email , slipstream data etc. 4. Critique and Limitations of technology There are already existing multiple copies of big data. These multiple copies of the data resulted as HDTV was erected without the idea of effectiveness. There is very little SQL support: as there are open source elements that attempt to set up Hoodoo as a questionable data warehouse, however they offer very less SQL support.The Map Reduce IS a challenging framework which is very difficult to influence for different transformational logic. With directed offers and promotions receiving the biggest benefits, Big Data does have a certain positive impact on Retail industry, followed by an appeal Of customer-centric marketing, forecasting ND supply chain modeling, loyalty program management, workforce management and store design. 5. Current Stage of Big Data in Retail A key source of ambitious benefits is change, comprising of adoption, invention and deployment of new technology and affiliated process betterment.In retail industry Big Data is an innovation that has acquired prominence. Managers have greatly been trying to comprehend what Big Data encompasses, how to make it a necessary part of their businesses and what it may be accounted for, who are working in retail supply chain firms (that is, manufacturers, distributors, logistics providers, retailers, wholesalers, ND other service providers). For retail supply chains Big Data can be used with focus on applications. In retail supply chains, Big Data use is still ambig uous. Even though maximum number of managers have stated initial, and in some cases cogent efforts in examining huge sets of data for decision building different challenges enclose these data to an extent of use arching usual transactional data. 6. Future direction for Big Data in Retail In Retail industry, big data can be the fuel to victory. And hence making Big Data analysis interactive is accessible, multi-source and scalable or a good business: A business leader in search of good methods to drive crucial growth, a logistics manager reconstructing inventory management or a fraud specialist analyzing claims.People in the technology world, when talk about analysis they usually signify computed solutions of complex mathematical archetype. Even though the definition of big data in accordance of velocity, variety and data volume- only happened about in 2001. But in the last five years big data has captured a fresh lease of life, greatly as a result of discovering new methods and techniques to analyze tat by companies and retailers. The data type is one of the key sources that makes big data huge.Big data analytics usually focuses on unstructured data, such as videos, emails, photos and posts on social networks, unlike the typical business insight, which examines structured data. Even though unstructured data is acceptable, Hoodoo which is an open-source framework for accumulating huge amount of data, has prospered in the last decade. Retail stores are making use of big data extensively. They can examine customer activity by making use of loyalty cards.For instance, they can stock a less- ailing product since the consumer who are likely to spend the most have an inclination to buy it. Having a very little insight on this will make them loose out on potential revenue or, worse, loose the most promising customers. Big data is now enterprise-ready, i. E. It is economically applicable. Since it is now inexpensive to stores processing this data and increase in computer processing speeds can leverage big data analytics to do more businesses.Now people with less particular skills can open up to big data due to the availability of Analytics tools. Real-time can help do analysis. New companies ND organizations are now beginning to develop frameworks to provide companies with awareness, since Hoodoo was not drafted for real-time examination. 7. Discussion Advantages: The advantages of Big Data in the retail industry are many. Errors can be determined quickly by making use of Big Data Analytics. Real- time awareness in mistakes assists retailers to act as soon as possible to check the effects of a functional problem.This can rescue the operation from failing or falling behind entirely. Retailers can stay one step ahead, with the Real-Time Big Data Analytics, from the competition. Good service can aromatically lead to greater length of extra revenue and conversion rate. Upcoming failures can be monitored by organizations when the customers use the products. When some unknown person attempts to hack into a retails business he can be are notified at the very instant. Additional revenue can be achieved by the retailers by making good sale insights.If an internet retailer observes that his product is doing very well, he can take action to keep out on the lost revenue. Retailers can maintain with customer trends. Faster and wiser decisions can be taken that will help in meeting the customers needs. Disadvantages of Big Data applications in Retail: For implementing Big Data, the complexity and cost are very large. Retailers are still not entirely ready for Big Data and limited with basic business reporting. Big Data solutions require to address the retailers needs.A good quality of time is required to value Big Data. Retailers biggest challenges are to make good data driven business decisions, to examine the reporting and analytic tools. The retail industry has enormous amount of data which is difficult to analyze at lower level of detail. It becomes difficult to integrate and access the enterprise or third-party data. It takes too long for the queries to run. Handling retailers questions, deprivation of aid and extended chain in describing demands to IT becomes hard for reporting tools. 8.Conclusion and Implications As a principal software framework for a large, data-intensive and distributed applications, Apache Hoodoo has attained enormous popularity, but the convolution of controlling and deploying Hoodoo has become likely. Early takers of Hoodoo are realizing that they lack the procedures, tools and processes that they need to deploy and control these arrangements conveniently. However Hoodoo makes it easy to control and deploy regular installations and automation features easily of Big Data Systems that lessens the cost of ownership to retailers.Today the retail industry realizes that necessary to understand that the technology is developing, changing and that the competitors of this market should acclimate and know that the consumer wants have changed. Retailers need acknowledge and anticipate consistently the online and offline de mands of consumers. The research exhibits what Big Data aids to and how it will advance to ambitious benefits in the retail industry. Based on alternate sources acquired from online, the research made with the assistance of office analysis depicts how Big Data accordingly directed towards alteration of retail.