A glimpse of Big Data Essays

A glimpse of Big Data Essays A glimpse of Big Data Essay A glimpse of Big Data Essay Big informations is non a precise term ; instead it’s a word picture of the neer stoping accretion of all sorts of informations. most of it unstructured. It describes informations sets that are turning exponentially and that are excessively big. excessively natural or excessively unstructured for analysis utilizing relational database techniques. Whether terabytes or PBs. the precise sum is less the issue than where the information ends up and how it is used. - - Cite from EMC’s study Big informations: Large chance to make concern value . When detonation happened in nomadic web. cloud computer science and cyberspace engineering. more and more different information appeared. In the yesteryear. the legion TB informations could be a catastrophe for any company. because it means high cost of storage and high public presentation CPU. However. in presents. companies discovered many facts they haven’t thought about these informations earlier. Companies started to utilize informations analytics engineering to happen concern values from these TBs or PB informations. It seems to be a large chance alternatively of catastrophe for companies now. Data is non merely defined as structured informations. When we speaking about large informations. it could be categorized into three types of informations: structured informations. unstructured informations. and semistructured informations ( Please see Chart I ) . Particularly when cyberspace and nomadic cyberspace developed quickly. the unstructured informations and semistructured informations exploded. For illustration. a bank could pull a decision by analyze unstructured informations to happen out why figure of churn increased. Most definitions of large informations all talk about the size of informations. However. size. or volume. is non the lone feature of large informations. There are other two features. assortment and speed. Assortment means large informations generates from several of beginnings. Data type was no longer connected to structured informations. Harmonizing to the EMC’s study. most of large informations related to unstructured informations. Speed means the velocity of informations production. Data was no long structured informations which was stored in the structured database. Datas could come from anyplace and anytime: Mobile. censors. devices. fabrication machine etc. The watercourse of informations generates in ex istent clip. This means company’s action should be taken with this velocity. Structured data| Structured information is organized in construction. These informations can be read and stored by computing machine. The signifier of structured informations is structured informations base that shop specific informations by methodological analysis of columns and rows. | Unstructured data| Unstructured information refers to the informations without identified construction. For illustration. picture. sound. image. text and so on. These informations besides called slackly structured information. | Semistructured data| Semistructured informations organized in semantic entities. The data’s size and type in one group could be different. For illustration. XML and RSS provenders. This information attempt to accommodate the existent universe with computing machine based database. | Chart I. Three types of informations. Big informations analytics Big informations analytics is non a technique. It is a footings that contains a batch of engineerings ( See EXHIBITION I ) . Based on enterprise’s different demand. each plan will utilize different engineering to analyse informations. However. with the large data’s development. some of these techniques become popular and utile. On the footing of the exhibition II. advanced analytics. visual image. existent clip. in-memory databases and unstructured informations have strong-to-moderate committedness and strong possible growing. The traditional techniques. for illustration. OLAP tools and hand-coded SQL. have bit by bit lost their topographic point. When a bank privation to happen the ground why the figure of client churn increased. or selling section decide to force precise advertizement to their client. they need to analyse client behaviour. These informations from client service electronic mails. phone call records. gross revenues interview studies. login informations from nomadic devices. and so on. Almost all of these informations can non be analyzed by traditional informations analytic techniques. That’s why these new techniques development so rapid and fierce. How a company adopt large informations analytics? Harmonizing to the article Big Data. Analytics and the Path from Insights to Value published on MIT Sloan Management Review. the writer categorized the company who used large information analytics into three phases ( See Exhibition II ) . For most companies. it is easy to set up an endeavor information warehouses ( EDW’s ) . However. how to construe these informations and happening the concern value from these informations become the most important factor for companies. Besides. so many techniques and tools behind the term large informations. For any company who decide to follow large informations analytics. the prima obstruction is missing of apprehension of how to utilize analytics to better their concern. From the article. the writer gave 5 recommendation to any company who wanted to follow large informations analytics. 1. Think Big. Focus on the biggest and highest value chances. Narrow down the options. 2. Get down in the Middle. Within each chance. get down with inquiries. non informations. Company prefer to roll up informations and information at first topographic point. In fact. start with inquiries could assist company go on to contract down the range and specify the most valuable way. 3. Make analytics come alive. When Problem was defined. company demand to use analytics. Choosing the properness tools to analyse the information. 4. Add. dong detract. Use centralized analytics. Every analysis is connected. 5. Construct the parts. program the whole. Big information from everyplace. The information will go more and more large and complex. Constructing the information substructure is important for large informations analytics. Big Data. Big Opportunity When company decide to concern large informations. it means every section are involved. Big information is non IT department’s or analysts’ duty. In fact. large informations analytics need information and aid from gross revenues. selling. R A ; D. IT and even external beginnings. Today. figure of companies have entered into large information market. The undermentioned chart lists some large organisations who have adopted large informations analytics. Besides. some of them provide large informations services to other companies These organisations are merely the tip of the iceberg. When large informations converted from Blue Ocean to Red Ocean. some of these organisations have turned into services supplier. This become a future tendency in large informations country. Big information demands expensive hardware and labour cost. Not every company can afford that. Besides. large informations involved so many different computing machine engineerings. non everyone understood all these techniques. For that affair. there will be more and more companies try to seek large informations service from external environment. Using the external large informations platform or tools could cut down the cost for constructing a wholly new technique squads. What the companies need to make is happening the job. narrow down the range and directing the demands to services supplier. When they get the analysis consequence. they could utilize the valued consequence to take the following action. Furthermore. these services supplier will non merely concentrate on large companies. The new manner is to supply friendly interface and easy to utilize merchandise to single client. What behind large informations will be still mystery for people. nevertheless. the face or terminus of large informations will go more and more friendly and simple. There is an illustration: Twithink. Twithink is a plan invented by a MIT group. They provide customized chirrup behaviour analysis for client. This plan could pull some decision by analysis the unstructured information on Twitter. They collected the gender. location. clip. cardinal words. images. etc. from tweets. Then they analysis these informations under certain arithmetic to pull decisions. The last research was the Election in 2012. The latest research is Gun Control treatment which still in advancement. Problem and menaces. Although large informations has many chance and advantage for endeavors. it still has some disadvantages. The first important job is privacy invasion. After you searched one merchandise on Amazon. the following clip when you login to Amazon. you will happen the merchandises you may interested which was Amazon pushed to you. This is called precise advertizement. However. you even didn’t know when virago collected your information. Another illustration was Google Analyst. company embedded codification into their web site to roll up people’s cyberspace behaviour. These things happened every twenty-four hours and everyplace. It is difficult to reason this action is right or incorrect. Possibly some are good. However. if personal information is sold or published by person. it will impact individual’s day-to-day life. It will go a important job. The Second job is information’s cogency. Harmonizing to the article With large informations comes large responsibilities points out that big informations sets are neer complete . If informations is deficient. the analysis consequence would be invalid or distorted. The invalid information would steer company to incorrect way and do a large loss. Thus. large information besides has two side. How to utilize it to make more value for company is the first consideration for all directors. Mention 1. Office 2013 Brings BI. Big Data to Windows 8 Tablets. ZDNet. N. p. . n. d. Web. 25 Jan. 2013. 2. Big Recognition for IBM Big Data. Smarter Computing Blog Big Recognition for IBM Big Data Comments. N. p. . n. d. Web. 25 Jan. 2013. 3. Big Data. Wikipedia. Wikimedia Foundation. 26 Jan. 2013. Web. 26 Jan. 2013. 4. Structured Data. Webopedia. N. p. . n. d. Web. 26 Jan. 2013. 5. Unstructured Data. Webopedia. N. p. . n. d. Web. 26 Jan. 2013. 6. Group of EMC. Big Datas: Large Opportunities to Create Business Value. Rep. EMC. n. d. Web. 26 Jan. 2013. 7. Philip Russom. Big Data Analytics. N. p. : TDWI. 2011. Print. 8. Lavalle. Steve. Big Data. Analytics and the Path from Insights to Value. MIT Sloan Management Review Winter 2011: 21-31. Web. 9. ?!?! . N. p. . n. d. Web. 26 Jan. 2013. 10. IBM InfoSphere Platform Big Data. Information Integration. Data Warehousing. Master Data Management. Lifecycle Management A ; Data Security. IBM InfoSphere Platform Big Data. Information Integratio n. Data Warehousing. Master Data Management. Lifecycle Management A ; Data Security. N. p. . n. d. Web. 26 Jan. 2013. 11. Amazon Web Services. Cloud Computing: Compute. Storage. Database. Amazon Web Services. Cloud Computing: Compute. Storage. Database. N. p. . n. d. Web. 26 Jan. 2013. 12. Oracle Big Data Appliance. Oracle Big Data Appliance. N. p. . n. d. Web. 26 Jan. 2013. 13. Google BigQuery Feedback on This Document. Google BigQuery. N. p. . n. d. Web. 26 Jan. 2013. 14. EMC Greenplum Data Computing Appliance – Data Warehousing. Data Analytics ( FW ) . EMC Greenplum Data Computing Appliance – Data Warehousing. Data Analytics ( FW ) . N. p. . n. d. Web. 26 Jan. 2013. 15. Teradata. Data Appliance. Data Warehouse. Business Intelligence a? . N. p. . n. d. Web. 26 Jan. 2013. 16. Twithinks. TwiThinks. N. p. . n. d. Web. 26 Jan. 2013. 17. Eria Naone. With Big Data Comes Big Responsibilities. N. p. : MIT Technology Review. n. d. 2011.

Ray Bradbury Essay Example

Ray Bradbury Essay Example Ray Bradbury Essay Ray Bradbury Essay Essay Topic: Fahrenheit 451 Having stolen a book, Montag smuggles it under his pillow instead of hiding it behind the vent. He is truly fascinated by the mystery of literature, he wonders what it is that makes him want to have them with him, and especially what makes books so great that the old woman decided to kill herself for them. Next morning Guy feels ill from thinking that he actually killed a woman for having books in her home. 14 He also feels terrified of showing up to work after having stolen the book, so he calls in sick for work. Inspired by Clarisse, Guy Montag starts thinking about his life, how he is unable to recall his life in any detail at all. He does not remember when he met Mildred for the first time, got married with her and why they do not have any children together. When he asks her she is equally blank about their lives together. Realising that his life has simply been a robot presence, we see the second turning point of Montags development, changing from the condition of uncertainty to the condition of minor rebellious thoughts and acts15. In his sick bed he also finds out that his young friend Clarisse has disappeared, possibly run over by a car. He has lost the only person he could talk to about anything else than what was on the parlour. Having called in sick for work, Captain Beatty visits Guy on his sick bed. Captain Beatty knows what firemen go through when they experience death the way Montag did, knowing that he is wondering why books have been censored and why firemen are burning them, so Beatty carefully explains how it all started in the first place. He describes how minorities were offended by what was written in literature, how the authors generalised all the small groups. Authors, full of evil thoughts, lock up your typewriters. They did. Books, so the damned snobbish critics said, were dishwater. No wonder books stopped selling, the critics said. 16 This meant the people only wanted their comic books and erotic magazines, so actually it was not the government that excluded books, but the people. There was no dictum, no declaration, no censorship, to start with, no! 17 The firemen were just there to please the peoples wish, there were no orders from the state. This passage can very easily confuse the reader in which opinion Captain Beatty has towards the development of the book censorship. It seems like he was an intellectual person, as he speaks foul about comic magazines and of the critics who ruined the reputation of books. But he also explains that the word intellectual became the swear word it deserved to be. Books were considered a loaded gun in the house next door; people were afraid of intellectual men and women, so the firemen were simply given the role of burning the books; Getting rid of the dangerous gun. 18 He might have known that he too was a dangerous gun in the peoples eyes, so he joined the revolution. Not only knowing what Montag feels, Beatty knows about his illegal affairs, so he tells Montag that there is a policy allowing firemen with stolen books to have 24 hours to deliver them for destruction. Montag accepts this possibility to read the books, much to Mildreds disgust. Montag decides to come clean when Beatty leaves and shows Mildred his stash of books behind the vent. This is not only coming clean to the public, but also showing himself what he actually has been doing all this time. Overwhelmed by the task of reading, he remembers having met an English professor a while back by the name Faber. Montag asks Faber the true meaning of books, and is told that the value of books lies in the detailed awareness of life that they contain. He is also made aware that you need the freedom to act upon the ideas from the books. Montag is truly inspired by Faber, and is truthfully committed to getting rid of the censorship of books. Faber and Montags plan is to reproduce books, so that Montag can plant them in the other firemens houses, harming the reputation of the profession. Montag is also given a two-way ear piece so he and the professor can communicate at all time. 19 The feeling of rebellion gets to his head as he gets home, only to be greeted by his wife and her two friends talking uncaringly about the war that is to be declared at any time. Montag is aggravated by the little feeling in their conversation, and decides to read Dover Beach for them by Matthew Arnolds, containing the message; Challenges to the validity of long-standing theological and moral precepts have shaken the faith of people in God and religion20. Faber tries desperately to stop Montags act of revolt towards the women through the ear piece, but does not succeed. The two women leave in protest to file a complaint against Montag. Montag meets the hand-back deadline that was set by Beatty, but only hands in one of the books. Beatty explains to Montag what process he has been through the days he has had the books by quoting a passage in a book. A little learning is a dangerous thing. Drink deep, or taste not the Pierian Spring; there shallow draughts intoxicate the brain, and drinking largely sobers us again. 21 Beattys words mean nothing to Montag as he does not understand them, but Beatty then explains the sentence to Montag, saying that he was a drunkard, only satisfied when inspired by rebellious thoughts, he knows that from former experience in his own life. Montag thinks he is saved by the bell as the alarm rings as soon Beatty finishes his sentence. When the crew arrives at the reported house, Montag immediately recognises it as his own home, and he quickly spots Mildred stepping into a taxi. He has been betrayed by his own wife. Beatty reveals to Montag that he knew all along what Montag had been doing, but he was prepared to give him a chance to put it all behind him, a chance he also had been given in the past. The only way to do this is to burn down the house and go to prison for some time. 22 Acting in sudden feeling of pure hatred towards Beatty and fear of having to lose literature, he burns the captain instead of the house and runs away. Montag escapes over to Faber, where he is recommended to flee out of town using the river to lose the mechanical dog. He is to meet a group of intellectual book lovers, known as The Book People. Montag manages to do so, escaping mechanical hounds and air born news teams trying to keep up with his getaway. Montag is warmly welcomed into the group who specialise in memorizing great literature. Their goal is to help the people re-establish their desire to read books and live their lives to the fullest. Their only opportunity for this is if everything is destroyed in the war coming up. All members have a piece of literature they have to memorize, and Montag has to remember The Book of Ecclesiastes, which is a part of the Hebrew bible. As he is given his task, jets appear in the sky, dropping bombs into the town Montag had escaped from a few days earlier. This is The Book Peoples opportunity to re-enter civilisation, now they can do what they have risked their lives for. The events of Fahrenheit 451 have led us through Guy Montags life and development. Although he is the main character of the novel, he is by no means an ideal hero. The reader can identify and accept his mission, but not entirely approve of his awkward and somewhat foolish decisions on the way. His faith towards his profession and lifestyle already declines in the opening chapter due to having been faced with the complexity and mystery of books for many years. The reader is introduced to Montag as a confused and misguided character. This is confirmed later to the reader, when observing his way of rebellion against the society, as he either performs efficiently by being lucid, or otherwise he is inclined to be clumsy, e. g. when putting the book under his pillow. His humanity range is also very wide, from the compassionate and sensitive conversations with Clarisse, to the monstrous and irresponsible murder of Captain Beatty. This clearly shows that he is bewildered and unwise all way through the story, as if he does not fully support his own plan of overthrowing the firemen and state censorship. At times Montags mind is disorientated by the actions of his body, e. g. when his hands steal books. He is also not capable of taking decisions independently, always dependent of Beatty, Mildred or Fabers ideas and plans, which makes him easily manipulated. It definitely shows the reader that he does not have control over his own mind and actions. Captain Beatty takes full advantage of these many weaknesses, and confuses and manipulates Montag with difficult quotes from advanced books. It is clear to the reader that Beatty is very loyal to his profession and lifestyle of immediate pleasure, but he is suspiciously wise on books, proving that he has an intellectual background. This tends to confuse the reader, thinking that he might not be the actual villain; that he could possibly be on the same side as Montag and Faber. Faber has the same way of confusing the readers trust in him. He is a supporter of books, but he tends to order Montag around, not letting him think for himself, possibly using him as a soldier for his own rebel uprising, making the reader suspicious of which hidden plans Faber might have. The two other major characters, Mildred and Clarisse, are total opposites of Beatty and Mildred. Mildred is pictured to the readers as an empty shell, cold and very unreadable. Although she is the wife of the main character, the readers relationship to her is very weak and unknowing, as she is very distant to everything around her. Still it is clear that she is struggling from an internal fight because of her suicide attempt. She is opposite to the two men because she tries to stay out of Montags actions and thoughts, not wanting to be a part of his life. Clarisse shares the same point of not trying to manipulate Montag, but is extremely interested in Montags feelings and thoughts. Clarisse is the totally opposite from everybody else, not caring about anything, only focusing in enjoying every natural detail happening around her. Clarisses death strikes Montag hard, having been greatly inspired by her. These major characters have all been sitting on Montags shoulder like small angels and demons, each pulling at him from each their sides, each wanting Montag to do what they want him to do. The author Ray Bradbury intelligently includes himself into the novel, by using his characters as his voice. Captain Beatty is often used to describe the background of the society, Clarisse is his way of showing how he also notices and questions small natural mysteries in his daily life, but most importantly he reflects himself in the main character. Guy Montag is Bradburys image of how he too would be the imperfect hero, being misguided and clumsy, but would fight frantically to preserve literature. 23 The reason he has mirrored himself with the rebel in this story is because of his message being sent out in the novel. Readers have always presumed that the main theme of the book was state censorship, but Bradbury burst the bubble on that interpretation in a LA News interview in 2007. He had observed shortly after WWII that the peoples growing interest in radio and television was spreading a long shadow over literature and the interest in books, The culprit in Fahrenheit 451 is not the state it is the people. 24. He was predicting that mass media was going to be the end of literature. He was not just being pessimistic and old fashioned, when he foresaw that people would only be semi-informed by their quick-reading and quick-radio broadcasts giving the LA News readers the example; Television gives you the dates of Napoleon, but not who he was he calls TVs summarizing factoids, being misinforming and imprecise. His true message to the readers is to watch out for the temptation of mass media, reading books is the only reliable form of information and knowledge25. Bradburys message is especially apparent in the two texts Montag reads, Dover Beach and The Book of Ecclesiastes. Dover Beach having the message Challenges to the validity of long-standing theological and moral precepts have shaken the faith of people in God and religion proving that human development and modernisation tends to lead the populace away from tradition and belief. These two texts can be compared in this way: Dover Beach = theologyreligion and Fahrenheit 451 = Literature mass media. The Book of Ecclesiastes proclaims that all action of man to be inherently meaningless/empty as the lives of both wise and foolish men end in death. The main speaker, the son of David, claims wisdom as a means for a well-lived earthly life. This enforces Bradburys message, proving that temporary happiness is insignificant, only knowledge is important. 26 Why live your life in the shade of unawareness, when generations of intellectuals share their precious awareness with you? 27 Ray Bradbury.