The advancement and popularization of communication technology has led to the development of smart phones, enabling people to upload pictures or videos to audio and video websites anytime and anywhere. The development of high-resolution display technology has increased the amount of data that must be stored in audio and video clips. Distance communication facilitates the data transmission of mobile objects, and is making the global digital data volume grow rapidly.
On the other hand, Cloud CompuTIng technology dynamically combines the resources scattered in various data centers to form services for tens of billions of telecom equipment such as mobile phones, connected TVs and computers, and spreads around the world. Data is aggregated into a Digital Universe.
Data volume big bang Big Data business opportunity take off
Market research firm IDC pointed out that the number of digital universe data will grow three hundred times from 2005-2020, from the 130 Aibytes (Exabytes, equivalent to 109 Gigabytes) in 2005 to 40,000 Ai in 2020. This is equivalent to twice the amount of data per year.
The digital universe is so diverse and huge in data volume, how to link and generate useful information has become the main topic of communication technology and industry development in recent years; Big Data technology has become the cloud computing technology in 2012. The hottest topic in the information industry.
IDC defines big data technology as a new generation of information technology and architecture that extracts value in an economical way by using high-speed capture, discovery or analysis techniques in a wide variety of data. IDC analysts believe that big data should have three main characteristics, namely the data itself, analytical inference, and the way the analysis results are expressed before they can be extended into products and services.
The market research firm Transparency Market Research predicts that the global big data technology market will grow from $6.3 billion in 2012 to $4.83 billion in 2018, with a compound annual growth rate of 40.5%. The report also pointed out that in 2012. More than 60% of the world's big data market is dominated by five companies including HP, Teradata, Opera SoluTIons, Mu Sigma and Splunk.
The development of big data has made the traditional market share of large-scale vendors such as SAP Business Objects, IBM Cognos, Oracle OBIEE and MicroStrategy in the Business Intelligence market compressed in 2012. It is generally believed that the demand for business intelligence will be more in the future. Multi-division, more new startups will contribute to innovation.
Big data rises global IT capital expenditures go up
According to Gartner market research organization, the characteristics of big data are the output volume, output style and complexity of the data set and the output speed, which is much larger than the data that more than one organization has faced and processed in the past. It is also referred to as 3Vs characteristic (Volume). , Variety, Velocity).
Gartner pointed out that the current global capital expenditure on big data, the main demand comes from the transformation of traditional IT solutions into IT solutions that require big data technology, which comes from machine-generated data, social data, and too much style of data. And data that cannot predict the rate of production. The future of big data technology will be a new driving force for global IT capital expenditure, and gradually change the traditional information management practices and technologies.
The data format presented by big data is mostly based on audio and video, text and numerical values. The style can be structured or unstructured, and the input mode can be stream or batch. In addition to the business and public data owned by the company, the use of big data technology will be more widely used because of the increased number of innovative resources that companies can use to collect and analyze consumer information. More continuous data sources include those generated by measurement equipment. Data, Radio Frequency Identification (RFID) sensing events, social network messages, meteorological and astronomical data, monitoring and sensing data, and location-dependent data streams generated by mobile devices. Big data technology is driven by the globally active IoT, Smart Grid and Smart City. In 2012-2018, most of the data is no longer generated by people. It is generated by the interaction between objects with communication functions such as vehicles, production equipment and home appliances.
According to IDC statistics, only about five-thousandths of all data in the world have been analyzed. Big data technology will continue to be the mainstream of business intelligence applications in the next few years, although it is still a new and undeveloped concept. Gartner market research firm predicts that by 2015, big data will create employment opportunities for 4.4 million people worldwide to address the huge gap between current big data analysts and software tools.
In 2012, a large number of large US companies switched to using the big data software platform Hadoop and cluster computing architecture to execute a large number of data applications within the enterprise. Many US service providers will also support the integration of Hadoop functions into their analytics and storage software solutions.
George Mathew, general manager of big data analytics platform vendor Alteryx, believes that in 2013, due to the growth of services using the cloud platform, as more and more organizations begin to use the affordable cloud service business model, enterprises will analyze the application to the cloud service platform to execute. There will be more and more software tools that provide users with access to, share and collect analytics information on the cloud platform.
In addition to business intelligence, 2012 big data technology has also been applied to sports, health care and other fields. With the various sports data records accumulated in the past, sports enthusiasts can analyze and find out their favorite players and sports information. Sports actuary John Dewan used big data in conjunction with the Olympic simulation software to predict that the United States will receive 108 medals in the 2012 Summer Olympics, while the United States will end up with 104 faces.
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