Most people do not know what large data (Big Data) in the end is when it is undeniable that big data has set off a stormy sea in the 21st century.
According to the analysis research firm IDC (International Data Corporation), and the information on the world is doubling every two years to an alarming increase in speed. Understand big data, how to use the huge amount of data, it has become a priority issue for all concerned.
Although the definition of various large data inconsistency, but basically, large data field everyone agree on one point: Big data refers not only more information only. This article sorted out seven large and important data point of view, I hope we do not just look at the skin of big data, and can use different angles in-depth review of large data.
1) The most basic definition of Big Data The Original Big Data
3Vs definition of big data is by far the most respected and best-known argument. 3Vs was first proposed by the Gartner analyst Doug Laney in 2001, representing the amount of data Volume, data transmission speed Velocity, data type Variety. Since then, some people continue to ask more "V", Veracity, Validity, Value, Visibility and other outside 3Vs, among which the Veracity (authenticity) is the most widely accepted.
2) technology that is big data Big Data as Technology
Big data is not a new concept, many decades ago scientists at CERN in the process point of view PB (Peta Bytes) huge amount of data per second. So why not leave until all three sentences in recent years, big data, "big data" Fengyun atomic bomb was only invested in science and technology circle, bombers?
Today the amount of data to be processed more massive, data generated with the processing speed is more alarming, more diverse sources of information, then the processing, new technology tools to store large amounts of data with the rapid development of open source software like Hadoop with NoSQL database. After the birth of new technology, users need a developer with a professional term to make a difference with the previous technology, so the "big data" in response to the word for us.
So big data not only refers to the material, but also refers to these emerging technology used to analyze and process massive data.
“Big Data is the new tools helping us find relevant data and analyze its implications.”
3) Big Data that is, different types of data Big Data as Data Distinctions
Today information "big data" and has been involved in past data has been different. According to Shaun Connolly, vice president of corporate strategy Hortonworks claims 1, past data mostly artificial notes down the trading record (Transactions), the machine is now for us to record transaction data; in addition, there are people with things interactive information between enterprises (interactions), such as people click on the page with records linked on the Internet; and finally the machine is automatically generated, the accumulated observations (observations), such as smart home products recorded temperature changes.
So Shaun Connolly big data is defined by the transaction, interaction, observations consisting of data types.
“Big Data = Transactions + Interactions + Observations”
4) signal that is big data Big Data as Signals
SAP executives Steve Lucas not to data types to look at big data, but the purpose (intent) with timing (timing). In the past, enterprise data can only be collected after the event to learn a lesson, but now business is to collect "new signal" 2, can be a precursor to follow tips before the event, and then make action to affect the outcome . For example, a brand advertising "Like" the number of click-through rate on the social networking site if hit bottom, the company can expect next product sales would surely be terrible; the same situation in the past, the company is the product of the resulting data sales after the sale.
“Big Data is the new signals.”
5) that is big data opportunities Big Data as Opportunity
According to the expert 451 Research's Matt Aslett, he will big data is defined as "previously ignored because of technological limitations and information", the statement also endorsed by many people, because most of the time to bring big data, are discussed in these previously inaccessible analysis and processing, which include data.
“Big Data is data that was previously ignored because of technology limitations.”
In fact, he is not in the text word by Big Data, but the use of "Dark Data (dark data)." Indeed, many companies use the word dark data, because data when the opportunity becomes "dark", and it represents a missed message, missed, leaving a blind spot 4 in the enterprise policy. All along, the purpose of each company employs expert data is hoping to "light up" these dark data (illuminate the Dark Data), observed that never before noticed the trend, to make a more comprehensive consideration.
Therefore, SAP has done a survey, nearly 76 percent of business executives, as the big data is "opportunity." Personally I liked the idea, after all, companies in the promotion of the plateau due to large data, is hoping to grasp the overall message and seize these opportunities!
“A new survey by SAP suggests that nearly 76 percent of executives see “Big Data” as an opportunity” 5
Defined philosophy Big 6) Big Data Data as Metaphor
The name of the photographer and publisher, former "Time (age)", "Life (life)", "National Geographic (National Geographic)" magazine photographer, Rick Smolan responsible for the biggest-ever photography project, in his book, 'the human face of big data "(the human face of big data), a book, then gave a perfect big data defined philosophy -" big data is helping Earth to construct a process of the nervous system, in this system we (humans) is just one of the sensors. "
“Big Data is the process of helping the planet grow a nervous system， one in which we are just another， human， type of sensor.”
Esoteric, right? If you read the "human face of big data," a book, I think you should be the analogy nod as Daosuan.
7) Big Data is the new gimmick of old things Big Data as New Term for Old Stuff
There are also some people think that the term "big data" was severely abused, but big data business intelligence (Business intelligence) or commercial analysis of new words after (Business analytics) evolution.
As can be seen from Google Trend years, from 2004 to the present, "Big Data" word searches from the beginning of 2011 soaring at the same time, interest in "Business intelligence" is a sustained reduction. "Business analytics" trend although slightly higher, but short-term should be impossible to catch the wave of another word.
Epilogue
More than seven definitions / point of view, whether recognized or not, I believe we all agree on is: Big Data is definitely a "Big Deal", the next few years, big data will bring enormous business opportunities.
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