Big data (big data), refers to the collection of data can not be captured, managed and treated with conventional software tools within a certain time frame, the new model requires processing in order to have greater decision-making power, strength and insight discovery process optimization capabilities of mass , high growth rates and diverse information assets.
In Victor Meyer - "the era of big data," written in Schoenberg and Kenneth Ku Keye large data refers not random analysis (sampling) this shortcut, and using all the data analysis and processing. 5V characteristics of big data (IBM proposed): Volume (a lot), Velocity (high-speed), Variety (diversity), Value (the value of low density), Veracity (authenticity).
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three aspects
Big data? Trend of big data?
The first level is the theory, cognitive theory is a necessary way, and it was widely recognized baseline and dissemination. Here the definition of the characteristics of big data to understand the industry as a whole drawing and characterization of large data; from and Big data value to in-depth analysis of precious big data resides; insight into the trends of big data; from large data privacy this special and important the long-term perspective on the game between the people and data.
The second level is technology, technology is a means to reflect the value of big data and the cornerstone of progress. Here are the cloud, the development of distributed processing technology, storage technology and large sensing techniques will be described from data acquisition, processing, storage of the results of the formation of the entire process.
The third level is practice, practice is the ultimate value reflects the large data. Here are the big data from the Internet, government Big Data, Big Data business and personal aspects of big data to describe four large data already show a better picture and blueprint to be realized.
trend
Trend: resource data
What is the resource, refers to large corporate data has become an important strategic resource and social concerns, and has become the new focus of the fight over. Thus, companies must develop a strategic marketing plan ahead of big data, seize market opportunities.
Trends: depth combined with the cloud
Big Data is inseparable from the cloud processing cloud processing provides the elastic infrastructure can be expanded to large data, it is one of a large data platforms. Since 2013, big data and cloud computing technology has been closely integrated technology, expected future relationship between the two will be more closely. In addition, networking, mobile Internet and other emerging computing form, together will also help big data revolution, so that big data marketing play a greater influence.
Trend three: breakthrough of scientific theories
With the rapid development of large data, like computers and the internet, like, big data is likely to be a new round of technological revolution. Along with the rise of data mining, machine learning and artificial intelligence technologies, it could change the data in the world of many algorithms and basic theory, to achieve breakthroughs in science and technology.
Trend four: the establishment of scientific data and data alliance
Future, scientific data will become a specialized discipline, it is perceived more and more people. Major colleges and universities will set up a special data science majors, also spawned a number of associated new jobs. At the same time, based on this data base platform, it will also establish a cross-domain data sharing platform, after which data sharing will be extended to the enterprise level, and become the core of a future industrial ring.
Trend five: the proliferation of data leakage
Data breaches of the next few years the growth rate may reach 100%, unless the data at its source will be able to get security. It can be said, in the future, every Fortune 500 companies will be faced with data ***, regardless of whether they have good security. And all businesses, regardless of size, need to re-examine today's security definitions. Fortune 500 companies, more than 50% of chief information security officer will be set for this position. Enterprises need a new perspective and to ensure their own customer data, all the data they need to get to safety in the beginning of creation, rather than during the last cycle stored data, the latter only strengthen security measures have been shown to help.
Trend six: Data management has become the core competitiveness
Data management has become the core competitiveness of a direct impact on financial performance. When "data assets is the core asset" concept enjoys popular support, for enterprise data management will have a more clearly defined, the data management as the core competitiveness, sustainable development, strategic planning and the use of data assets, a business data the core management. Data asset management efficiency and main business revenue growth, sales growth was significantly positive correlation; In addition, for enterprises with Internet thinking, competitive data assets accounting for 36.8%, asset management performance data will directly affect the financial performance of the enterprise.
Trend Seven: Data quality is the key BI (business intelligence) success
The use of self-service business intelligence tools for data processing of large enterprises will come to the fore. One of the challenges to be faced is that many data sources can bring a lot of low-quality data. To be successful, companies need to understand the gap between the original data and data analysis, thereby eliminating low-quality data and obtain better decisions by BI.
Trend Eight: the degree of complex data ecosystem to strengthen
The world of Big Data is not just a single, giant computer network, but a lot of activity by the eco-system and multi-component elements of the composition of the participants, terminal equipment providers, infrastructure providers, network service providers, network access the service provider, data services enablers, data service providers, contact services, data services, and so retailers ecosystem participants together to build a series of. Today, such a set of basic shape data ecosystem is already taking shape, the next development will tend to the role of internal systems segment, which is the market segment; system adjustment mechanism, which is the business model innovation; system structure adjustment, that is, adjust the competitive environment and so on, so that the degree of complex data ecosystem gradually.