10 Misunderstandings of Big Data Application

The British science and technology news media V3 recently listed 10 relevant misconceptions about big data applications.
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Why do 85% of Big Data projects end up in failure?

Companies tend to make their Big Data projects large in size and scope when implementing them, but the truth is that most Big Data projects usually end up in failure.
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How big data analytics is reshaping the future of smart cities

As the world continues to urbanize and the amount of data generated by cities grows, the importance of big data analytics in shaping the future of urban life will only increase.
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To read big data, you have to master these core technologies first

When it comes to big data, many people can say some, but if you ask what are the core technologies of big data, it is estimated that many people will not be able to say
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Your privacy, how does big data know

On the Internet, everyone leaks certain fragments of information more or less, either actively or passively. When this information is mined by big data, there is a risk of privacy leakage and raises information security issues.
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How Research Institutes Should Use Data Analytics Tools to Improve Research Efficiency

With the increasing maturity of data analytics technology, research institutes should actively utilize data analytics tools to improve research efficiency.
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Where does the data for Big Data come from?

Big data has always been a relatively mysterious industry, in recent years because of big data discriminatory pricing only by more than the average person to understand, so have you ever thought about big data whether it is developed or analyzed, where the data inside are coming from?
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What is the maximum value of big data

Human beings and objects are the two major categories of the earth. Human beings are the most advanced animals on the earth. Objects (animals, plants, organisms, microorganisms, man-made objects) cannot be made. Human beings have wisdom and dominate the earth;
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The untold story of Deutsche Bank's digital transformation

Data silos and unlinked systems caused employees to waste a lot of time moving information around. In addition, the sheer volume of paper and electronic forms forced employees to manually process documents and verify their contents.
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Uncover 10 big data myths

To ensure that your organization's big data plan is on track, you need to eliminate the following 10 common misconceptions. Let's look at them together.
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