Big Data Failure Stories

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Uncover the pitfalls behind SEO success stories

Intermediary transaction http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest cloud host technology Hall just in SEO Group a business owner told me that he found in Taobao SEO rankings, after the payment , but the other side ran away. The other has just opened a shop in Taobao, and then showed a lot of "SEO success stories" (so he believed the other side), and charges very low (200 pieces of a keyword package before three, this real ...)

SEO Success Stories

Absrtact: Just in the SEO group, a business owner told me that he found in Taobao SEO search engine rankings, after the payment, the other side has run. The other has just opened a shop in Taobao, and then showed a lot of SEO success stories (so he believed the other side), and just in the SEO Group a business owner told me, he found in Taobao SEO search engine rankings, after the payment, the other side has run. The other has just opened a shop in Taobao, and then showed a lot of "SEO success stories" (so he believed the other side), and charges very low (200 pieces of a keyword package before ...)

The big data that we misread in those years

Now, the industry and academia have been hot on the big data, whether it is academia or it circle, as long as can talk about some big data is very tall. However, big Data mining, big data analysis, big Data marketing and so on are just the beginning of course, there are many people directly criticize the big data or large data marketing to create privacy threats to us, what is the big data in the end? What is the value of it? Today, the industry and academia have been talking about a word, which is big data. Whether it's academia or it, it's big enough to talk about a little bit of data. However, large data mining ...

Harford: Big data, or big mistakes?

Large data is a vague expression of large-scale phenomena.   The term has now been overheated by entrepreneurs, scientists, governments and the media. Five years ago, a Google research team announced a remarkable achievement in the world's top science magazine Nature. The team can track the spread of flu in the United States, which does not depend on any medical examination. They are tracking even faster than the CDC. Google's tracking results are only a day's delay, and the CDC needs to compile a large number of physicians ' diagnoses to get a spread of the trend chart ...

Cool down Big data: Nine questions about Big data

"Big data" suddenly becomes ubiquitous, and it seems that everyone wants to collect, analyze and profit from the big data, while others boast or fear its great influence. Whether we're talking about using Google's massive search data to predict flu outbreaks or using phone records to predict terror, or using airline data to find the best time to buy a ticket, big data can help. The combination of modern computing technology and the myriad of data in the digital age seems to solve any problem-crime, public health, change in terminology, the danger of dating, as long as we put these numbers ...

Big Data Gold rush is cool, but the method is blind

This article originally contained the FT website, original title: Big Data:are We making a big mistake, it seems that I saw a bit late, but still share it. Because it does discuss some of the issues I've been thinking about recently, it's a speculative article.   If you've never known big data before, this can be considered a primer. This article is only opinion, because the query is more simple than the proof, but the big data is now hot, these negative comments, if as a conversation to collect, is also good ...

How far is big data thinking from us?

The big data is a vague and ambiguous term used to describe a large-scale phenomenon that is now rapidly becoming the focus of entrepreneurs, scientists, governments and the media. The big data is impressive. 5 years ago, a Google research team published a remarkable study in the world's most famous science journal Nature. Without any medical test results, the team was able to track the spread of flu trends across the United States at the time, and it was even faster than the US Centers for Disease Control (CDC). Google's tracking is only later than the outbreak of flu ...

Some stories of people from the traditional industries in Hong Kong who borrowed O2O tide to use the internet

I recently dug up some stories about people in Hong Kong's traditional industry who have been using the O2O tide to use the Internet. As I have always thought, if the O2O will be the next wave of shocks to the traditional services industry, in Hong Kong and Singapore, where the financial services industry is specialized, it should be possible to see a lot of changes in the business model, or new O2O business to test water. However, in Hong Kong, I do not see the image of the Cross-border subversion of the Internet that is brewing. Compared with the surging enthusiasm of the domestic trade, the financial industry in Hong Kong seems to be a little too calm, pretending that the upside down in the wall will stay in the wall forever. Of course, special ...

Big Data Age: Test the boss new thinking

1 billion PCs, 4 billion mobile phones, countless internet terminals. Every moment, we are thousands of millions of intangible data through the body. Some people say that the world is a huge database in the Internet age. Social networking sites, shopping channels, data warehousing Everyone is actually a data, similar to "height and weight hobby maturity social circle" and so on the concept of living people, can be defined and expressed by data transmission terminals. Data is no longer a cold statistic, but a life of precision. Countless facts can be deduced, in the future, data will become one of the largest trading commodities. This is also the most ...

14 Questions for Silicon Valley and Silicon Valley technology companies: Valuation Bubbles/Big Data

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

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