Big data is not so easy to handle with traditional

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Bappy32
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Big data is not so easy to handle with traditional

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What is the connection between big data, mobile devices and investments in startups? Recently I have a lot of time to delve into the hot topics of software development. And there seems to be quite a lot going on. Of course, the news is dominated by IPOs of web giants such as Facebook and Twitter. Yet in recent years there has still been a lot of investment in smaller companies . Is money sloshing against the baseboards again?


Investments in startups
You would think that investing in startups would not be obvious after the bursting of the internet bubble at the beginning of this century. But even though many companies did not make it at that time because their source of money suddenly dried up, the industry as a whole continued to develop unabated. I worked for a company in Silicon Valley at that time and there was actually relatively little evidence of the crisis.

VC investments
VC investments

Venture Capitalists in the United States are now investing much more thoughtfully than before and are much better organized in large institutions. A former colleague from Silicon Valley , involved in a lot of startups, tells me that it is certainly not easy for a startup to get funding . A good idea is not enough.

A good idea is not enough
Startups do need to have a customer network, realistic profit expectations and scalable technology. Investments are therefore focused on the growth of operational e-commerce startups, especially in rolling out new markets, perhaps in the hope that these will become the new Amazons.

Disruptive technologies
At the same time, there is a lot of attention for disruptive technologies . These are technical innovations that have the potential to change the world. They are there in abundance. Just as suppliers of jeans and equipment became big during the gold rush , there is also a lot of investment in the technology that must make the desired growth possible.

Scalabilitydata center
Technical scalability is much more complex for an internet service than oman mobile phone number list stacking servers in a data center. Today's internet companies have an insatiable hunger for data, big data. Big data is therefore a phenomenon that has been popping up everywhere for a few years now, and certainly here on Frankwatching.

Big data
Big data is certainly not just about web analytics. It is about quickly storing, quickly retrieving, and quickly finding the coherence in an immense amount of data. The definition of big data is not so clear. Of course, we are talking about a large volume of data, for example in terms of petabytes (one million gigabytes) or exabytes (one billion gigabytes). But also about velocity , the speed at which data is collected, aggregated and issued, and about variety , the diversity of data itself.
SQL databases. SQL databases do not scale by hanging more servers in a rack and use a fairly strict data structure, which is difficult to adjust on the fly . For reasons, big data has also become synonymous with NoSQL and distributed databases, where data is stored, analyzed and processed across a large number of - sometimes thousands of - machines. Of course, this requires specific software and there is plenty of it. Much of this software has been developed by web giants such as Google and Amazon, for whom big data is a core business.
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