Artificial intelligence, big data, networking, block chain as a new development of today's information technology, life is getting closer and closer to us, there is also the nature of the link between them, if they are seen as our bodies, large these tactile data is to store a collection of external information, and the database is like the human brain's memory system, there is no database, there is no memory systems.
Data exponential growth has come of age
Phase III results of a global survey data protection index Anxin Gong Yi cloth shows the amount of data showing explosive growth, an increase of 569%. Authoritative data show that by 2020, China's large market size data will be over 800 billion yuan, the future China will become the world's data centers. Continuous innovation of IT technology to accelerate the arrival of the era of big data prompted, in this background, the key factor of production data, 2020, the total amount of data worldwide will reach 40ZB, China will account for the amount of data the total global data 20% of the world's largest data resources in the country.
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Clearly, the data is showing exponential growth, at the same time bring in storage, query, analysis, mining and other aspects of demand continues to surge. When the business scale is growing, more and more data, the database will appear explosive growth of data has brought more hope. However, a real problem we have to face is the traditional data processing systems have been overwhelmed, the main bottleneck database performance problems has become the stable operation of the system.
The road is stored in the big data challenge
Not difficult to find, generate huge amounts of data on the social impact of the change is unprecedented. For businesses, how to collect and use vast amounts of data as a new dimension to build competitive advantage. However, in the face of opportunities and challenges is not small.
First, the data type range. With the rapid development of business applications, compared with the previous facilitate the storage of text-based structured data, unstructured data more and more, including weblogs, audio, video, pictures, location information, and a lot more than type of corporate data are to PB-level units explosive growth, while providing the foundation for enterprise data analysis strategy, but also brought unprecedented pressure to the enterprise database, these multiple types of data processing power of a higher data requirements; secondly, low-value density. In general, the level and size of the total value of the data density is inversely proportional to how to extract high-value part of the vast amounts of data, the next big data era become a problem to be resolved; and finally, the speed of processing speed. According to IDC, by 2020, global data usage will reach 35.2ZB, in the face of such vast amounts of data, efficiency of data processing means companies whether they have the appropriate capability and competitiveness.
With the growth of data, followed by the difficulties and challenges encountered in stored data, apparently, traditional data system has been unable to meet these requirements, only to make back-end database to adapt to change and upgrade business model, in order to meet the amount of data explosion in demand brought about by a variety of in order to allow enterprises to gain a foothold in the big data era. At this point, the database architecture design and performance optimization is even more urgent.