Mckinsey Data Scientist Shortage

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Data scientists: a perfect combination of hackers and data analysts

The time for data scientist Shinton! But what exactly is a data scientist? What skills do data scientists need? Why are they different? The advent of the large data age has driven the growth of data, bandwidth, and processing power exponentially levels. Nowadays, the new field of data science has aroused great interest. "The data is crude, but oil needs to be refined before it can be used," says Amazon's former chief scientist. Today, organizations of all sizes are trying to explore how to dig out valuable information from large data. Data ...

Data scientists are not required

Data scientists are described by the media as the sexiest career in the 21st century and as a superstar of the IT industry who are struggling to make big data, but in fact there are no data scientists Under the same enterprise can play big data. Up to now, as long as big data is mentioned, the most talked about is the shortage of talent, data scientists have become the most sexy career in the 21st century and so on. The report from McKinsey, a Harvard business review and consulting firm, also said that with the help of data scientists themselves naturally happy ...

Big Data 2014 faced with a number of urgent "national Big Data Strategy" macro-planning

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

Big Data 2014 faced with a number of urgent "national Big Data Strategy" macro-planning

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

Big Data 2014 faces several customs

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological surveillance and ...)

Large data from "concept" to "value" needs macro-planning

The big data from the Silicon Valley goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemic ...).

Data scientists don't need too much to make big data easy enough

Editor's note: The New York Times has written Pro Data age has come, http://www.aliyun.com/zixun/aggregation/13768.html "> Data scientists have been dubbed the most sexy occupation, but E-commerce consulting company Jack's founder and CTO Scott Brave says we don't need more data scientists to make big data easier to use. Here's what he thinks: Big numbers are hot this year, so the New York Times ...

Data also sexy-business logic of the big Data age

Beane (Billy Beane) is the general manager of the American Oakland Sports baseball team. In the 2002, in the highly competitive United States Professional Baseball League, the Oakland sports team in terms of personnel and material and financial strength are only "the next three Flow" list. However, with the help of Fat Peter, the top student of Yale data analysis, Bean analyzed the data and obscure baseball statistics, found a group of seemingly on the surface of the shortcomings, personality quirks, but in the body has a certain aspect of the baseball game with super ability, undervalued baseball player, finally to breakthrough ...

EMC builds data crowdsourcing talent market in large data age

Beijing Time October 24 news, according to foreign http://www.aliyun.com/zixun/aggregation/31646.html "> media reports, EMC's Greenplum department focused on data analysis software development, Kaggle is a company focused on statistical inductive talent discovery and deployment. They are now working together to create a market for large data engineers. In this way, a company that does not have full-time data scientists can now package the data analysis work ...

Reid Hoffman on entrepreneurial opportunities in the future "Resource revolution"

Absrtact: Over the next 15 years, 2.5 billion people from China, India and other developing countries will enter the middle class. They will need to live in high-rise buildings and need supermarkets to shop. They need smartphones, cars, steaks, air-conditioning, pet clothing, Disneyland in the next 15 years, 2.5 billion people from China, India and other developing countries will enter the middle class. They will need to live in high-rise buildings and need supermarkets to shop. They need smartphones, cars, steaks, air-conditioning, pet clothing, Disneyland vacations and couch pillows. Today, on earth ...

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