Amazon Data Analysis

For companies, 100 theories are not as practical as a successful benchmark. The main idea of this paper is to find 49 samples of “doing” big data.

It seems the industry analysts, Google is positioning itself as the backbone of the cloud business instead of Amazon. Although there is still a big gap with it, but Google still have the opportunity to catch up and one day to seize its cloud overlord throne. "Amazon basically accounts for 80% to 85% of the current platform-as-a-service market share," said Jagdish Rebello, head of research at IHS iSuppli. "The market is currently in its infancy and the main driver of this market step by step , Amazon also naturally got ...

Innovative report from the dean of top research institutes when all our actions and our lives can be "data", the company that holds the data is like owning a rich gold mountain. 　　As Victor Maire-Schoenberg says, the big data age is "the future that has happened," and in this already-occurring future, there is no bystander. December 19, 2013, by the boutique media "digital Business Times" sponsored by the "Great data creation of the era of Subversion" 2013 China Summit Forum in Beijing to make a grand Holiday Crowne Plaza Hotel ...

According to IDC forecasts, in 2006 the world's data storage volume is 180,000 PB, and now this number has reached 1.8 million PB, and in 2015 years will reach 8 million PB. At the same time, analysis of the company's data shows that by 2015, the output of large data will reach 16.9 billion U.S. dollars. The big time we see Big data is coming quietly. Although data analysis has always been a part of IT industry, and data warehousing, data mining, business intelligence and so on has been continuously for the development of enterprises and innovation to provide value, but with the scale of the data index increase ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

The large data in the wall are registered as dead data. Large data requires open innovation, from data openness, sharing and trading, to the opening of the value extraction ability, then to the foundation processing and analysis of the open platform, so that the data as the blood in the body of the data society long flow, moisture data economy, so that more long tail enterprises and data thinking innovators have a colorful chemical role, 　　To create a golden age of big data. My large data research trajectory I have been 4-5 years of mobile architecture and Java Virtual Machine, 4-5 years of nuclear architecture and parallel programming system, the last 4-5 years also in pursuit ...

Remember last year 8 15 competition? If you are the CEO of a certain electric company, would you adopt such a competitive strategy? Change is the eternal theme, business management can not be static. In the big data age, it is unwise for the electric trader to adopt price warfare, and to control the management based on the big data strategy will help you to surpass the existing CEO. Cost leading strategy, differentiation strategy and centralization strategy are the three strategies that enterprises can choose in market competition. In the era of information explosion, the fourth competition strategy-large data strategy has become the support of the original three competitive strategies. Big Data change Enterprise decision ...

The data again "big" no useful is equal to zero, to collect "slow data" "Live data" on the internet every moment in the production of data, people's lives everywhere in the various devices, such as computers, mobile phones, smart appliances, sensors and so on, can always leave traces of human behavior, real-time data generation, These increased geometric levels of data deposition on the Web, become large data. These large numbers of data again "big" no useful is equal to zero, to collect "slow data" "Live data ...

For most companies, there are two options for how to turn data into profit on the big data nuggets: data-driven processes and data-driven products. Big data is now a word that has become a secret. A company like Amazon, down to a small startup, can have a few g of data a day. A photo-sharing site like Instagram can produce 500T of data a day easily. Many CEOs will ask a question: "Well, now I have so much data, under ..."

Graphlab provides a complete platform for organizations to use scalable machine learning systems to build large data to analyze products, including Zillow, Adobe, Zynga, Pandora, Bosch, ExxonMobil, etc. They capture data from other applications or services, and transform large data concepts into predictive applications that can be used in production environments through system models such as referral systems, fraud monitoring systems, emotional and social network analysis systems. Carlos Guestrin is GRAPHL.