Hadoop and large data markets and applications

In the wave of large data applications, Hadoop has brought in cheap processing of large data (the data capacity of large data is usually 10-100GB or more, with a wide variety of data, including structured, unstructured, etc.). More and more industry applications customers want to use Hadoop as a way to solve the problem of large amount of data, complex data types, fast data generation and data value refining in the process of processing, in order to achieve efficient, low TCO solution.

At present, typical applications such as Smart city, intelligent transportation, intelligence medical, mobile internet, multimedia processing, retail, advertising, industrial and other structural and unstructured databases.

With the continuous construction of urban traffic, all the time will produce a large number of images and video data, and show the trend of explosion, then, how to manage, analyze such massive data and intelligent scheduling to relieve urban congestion and other traffic disease, has become the biggest challenge of urban traffic management.

Intelligent Transportation

Mass Data Intelligent Transportation solutions

With the continuous construction of urban traffic, all the time will produce a large number of images and video data, and show the trend of explosion, then, how to manage, analyze such massive data and intelligent scheduling to relieve urban congestion and other traffic disease, has become the biggest challenge of urban traffic management.

The deployment of intelligent transportation system through large data platform can facilitate the traffic control, analysis and intelligent traffic dispatching of the Transportation Department. such as the prediction of traffic flow, dynamic supervision of road conditions, support traffic flow plan, improve traffic regulations, collection of traffic lights and vehicle supervision, and also through video surveillance, maintenance of public safety, to provide forensic support.

At present, there are some successful cases of intelligent traffic platform based on hbase large data scheme, which realizes the real-time analysis, maintenance, management and query of traffic data, effectively relieves the traffic pressure and improves the intelligence degree of urban traffic.

Intelligent Medical

Mass Data Health Care solution

In the healthcare industry, centralized management of all large medical data, including structural and unstructured data, is a challenge for the healthcare industry today. The establishment of large data management platform can use large data technology to promote the centralized storage of medical information and fast analysis.

The Hadoop large Data management program provides an intelligent retrieval platform for electronic medical records and medical information. Effective integration of medical information and medical resources, doctors can check patient records at any time, and from personal medical information mining data, analysis of the detection of disease patterns, and early detection of potential health threats to ensure that patients receive timely treatment.

The intelligent medical system can not only improve the utilization rate of medical resources, reduce the cost of social medical care, but also realize individual active health management, disease management and improve the quality of personal life.

Telecommunications services

Mass Data Telecom Solutions

Communication industry with the continuous growth of mobile phone users, the urgent need to improve operational efficiency, to achieve on-demand dynamic allocation of network resources and services, while the application of large data technology is the most simple and efficient solution, but also can identify users, business, scene and other information, and provide differentiated services. In practical application, large data technology can master user's custom and demand through the comprehensive record and analysis of users ' communication and Internet behavior, and provide better and more personalized service for users. In addition, in the background can be accurate analysis of customers, such as based on user location, terminal type and user preferences, providing directional push, according to user network usage, business use, business income, terminal type, etc., for operators to provide business strategy analysis or customer care.

Retail industry

The rapid growth of e-commerce in the traditional retail industry to form a huge challenge, supermarkets, shopping malls, stores and other enterprises increasingly fierce competition, many can not achieve the management optimization of the lower competitiveness of enterprises facing shuffle out of the fate, and large data platforms are giving them new opportunities. Traditional enterprises can use large data analysis to optimize the transportation of goods, inventory and potential customers of potential shopping needs, win competitive advantage, forecast trends, and prepare for future needs.

and online network vendors, can also through the technology to buyers and sellers of sex, age, address, ID number and shopping preferences, behavioral characteristics, shop information and other stable unstructured data management, and then analyze procurement behavior. Based on the customer's large data collection, analysis and application, will become the key to change the online and offline market pattern.

To implement these scenarios, users need to reasonably plan and deploy the corresponding large data platforms, usually the Hadoop scenario is the most common choice.

Based on an analysis of the current requirements for large data applications, Intel provides customers with validated integrated Hadoop reference design through this reference guide, providing a business opportunity to implement a complete design based on Intel platform software, hardware, and help channel or OEM vendors to quickly intervene in large data, Effectively reduce the risk and complexity of your deployment in large data environments, allowing users to easily implement large data applications.