E-commerce: in layman's terms, it is the enterprise through the network, the offline business to move to the line to carry out, complete the goods or services sales transactions. \x0d\ Big Data: refers to the massive, high-growth and diverse information assets that require new processing models to have stronger decision-making, insight and process optimization capabilities. \x0d\ In recent years, the Internet industry has been developing at a rapid pace, many traditional enterprises through e-commerce, to carry out network marketing, the amount of data generated by online transactions is offline can not be compared to, thus giving rise to the urgent need to deal with the huge amount of information, that is, the big data, the solution is not good, it will become a bottleneck in the development of e-commerce. On the contrary, the successful development of big data processing also promotes the acceleration of e-commerce by enterprises and injects new momentum into the development of the Internet industry. \x0d\ I. Big Data Processing Model \x0d\ In the field of e-commerce, the high-volume processing of information constitutes big data if the information is measured in petabytes (PB), ethereal billion (EB), and zillion billion (ZB). Previous computer processing models have made it difficult to process these big data efficiently, which will inevitably affect the overall development of e-commerce. Therefore, revolutionizing the computer processing mode in the era of big data is the basic guarantee for obtaining an overall breakthrough in the e-commerce industry. The traditional data processing mode is the database cluster mode, and the basic requirement of the big data processing mode is to construct the cloud computing MapReduce processing system, so that the decomposition of information processing and the merging of results becomes possible. \x0d\(a) Database Cluster Mode \x0d\ The basic operating principle of the cluster mode is to coordinate the same application program with each other through different methods of work **** with the same completion, in the face of the client's data request, provide a single image for it, and connect these images with the hardware system through certain connection techniques and methods, overall construct a loosely coupled collection. Simply put, the database clustering model realizes the combination of database technology and clustering technology. Database clustering mode is smoother in operation and has various technical advantages, such as strong scalability, overall reliability and so on. \x0d\but in the face of big data processing, database clustering also shows certain defects. These defects mainly contain the following aspects: the first is the scalability complement is not strong. If the hardware infrastructure of the system's functional nodes is chosen as a Pc server, then there will be problems such as cumbersome system cables, highly complex hardware, and difficulty in racking and installation, which imposes certain limitations on its scalability; the second is the restriction of data communication. Currently running a high-speed Internet is necessary to connect the PCI slot with the host. However, the data transmission capacity of PCI is limited and cannot meet the data communication requirements between nodes; the third is the small lifting space. This space mainly refers to the scalable space of the database data set, how to solve the system's security, computing speed and scalability when performing data processing is an important issue to be faced by the database cluster model. In addition, the database clustering model has limitations in compatibility, reliability, fault tolerance, and the ability to support heterogeneous conditions. \x0d\(ii) MapReduce framework \x0d\ cloud computing architecture is mainly a data processing technology consisting of large-scale clustering of low-end servers, which has an absolute advantage in terms of data storage capacity and data processing capability. Due to the reliability and scalability of the cloud computing platform in operation and other features, many large enterprises or organizations are currently using it as the main platform for web search and big data analysis, such as China Mobile, Taobao, NetEase, Baidu, etc. The MapReduce framework mainly consists of three aspects, namely, the parallel programming model MapReduce, distributed file systems (HDFs), parallel execution engine. The design of \x0d\MapReduce was done by google, mainly to carry out the work of computational processing of large data sets, representing the overall state of development of analytics technology.MapReduce in the data processing, the first object will be abstracted, so that it is presented in the form of a pair of mapping and simplification operations, in which the mapping part of the filtering of the data, and simplify the part of the Data aggregation work, in the work of a good interface to manage the work. To decompose the MapReduce computing process, its working principle can be understood as the deconstruction of large data sets, the result of the deconstruction is the formation of a large number of small data sets, through the cluster nodes for these small data sets are processed separately, which results in intermediate results, these results through the node for the merger of the results of the entire processing of the large data sets. \x0d\2, the innovation of e-commerce IT technology facilities in the era of big data \x0d\ IT infrastructure is to ensure the operation of e-commerce system is a prerequisite for its technological innovation can be quickly adapted to the era of e-commerce big data. In the post-Internet technology era, e-commerce enterprises widely used IT infrastructure is generally PC servers. With the expansion of the scale of data and information processing and processing capacity requirements continue to increase, e-commerce enterprises for IT infrastructure innovation is moving towards miniaturization and clustering direction, at the same time, e-commerce enterprises also need to continuously invest a lot of manpower and technology to achieve the maintenance, upgrading and updating of IT infrastructure. \x0d\(a) The development of data warehouses\x0d\from the recent study of e-commerce information processing data can be found in the system operation of the emergence of big data is still in the development and growth at an alarming rate, which is also characterized by the obvious distributed development and heterogeneous trend. Traditional databases such as databases with general data processing functions and information analysis techniques as well as BI technologies have largely failed to meet the requirements of petabyte-level data volume processing. This development of large-scale data has prompted a very significant change in the e-commerce data warehouse system, that is, the order of magnitude of the data volume continues to be upwardly adjusted, and has now been realized by the TB to the PB of the progress, and still presents an explosive growth trend. \x0d\ According to the study of today's e-commerce data volume development status and trends, it can be found that e-commerce data warehouse will show the following characteristics: First, the next two years, e-commerce data warehouse of the maximum amount of data will be reached or even more than 1OOPB, and its growth rate will also show unprecedented changes, far more than the Moore's Law; Secondly, the way of analyzing the data to achieve qualitative changes, will be from the Conventional analysis to the depth of analysis; Third, low-end hardware consisting of large-scale cluster hardware platform will replace the infrastructure hardware support platform consisting of high-end servers, infrastructure further to the cluster development; due to the innovation of the hardware system will have an important impact on the parallel database, so that the scale of its expanding, and the resulting cost will also gradually grow. Overall, the current e-commerce will be a large-scale innovation is a direct result of the massive growth in the amount of data and the reality of the requirements of in-depth analysis. \x0d\(ii) Cloud Computing Architecture \x0d\ cloud computing architecture is a new type of data processing model designed for distributed network computing, which has shown good adaptability in application. In the network environment for computing, storage, software and other online services have significant performance gains over traditional architectures. In terms of the current cloud computing architecture applied in the field of e-commerce, it has the following characteristics: onDemandself-service, measurabledservice, resourcepooling, broadnetworkaccess. broadnetworkaccess), and rapid elasticity (rapidelasticity). \x0d\third, the impact of big data processing on e-commerce \x0d\cloud computing does not have a long history of development, the first introduction of cloud computing technology is Taobao, all of its transactions are based on the completion of self-built systems, and AliCloud has become China's first company to carry out the supply of cloud computing. Cloud computing's superb processing power for big data has made it a catalyst for the development of e-commerce, with the main impact manifested in the following areas. \x0d\(a) information retrieval capability\x0d\e-commerce platforms have largely changed the way consumers shop, but as far as marketing is concerned, the quantity and variety of goods are still the main factors influencing consumers' choice of merchants. In the field of e-commerce, the number and types of goods show a complicated development of structure or even unstructured development trend. All these pose challenges to IT infrastructure and information processing technology. Big data processing technology can lead the new direction of e-commerce information processing technology due to its flexibility and powerful retrieval services. The retrieval service of \x0d\ cloud computing can filter and display a large amount of information according to the customer's actual needs and transaction habits, and its intelligence and efficiency are much unmatched by the traditional IT infrastructure. In addition, the cloud platform also has the function of information recommendation, according to the overall situation of online transactions to screen hot commodities to be displayed, improving the relevance of the transaction and retrieval efficiency. The advantage of cloud computing performance is also reflected in the function of describing part of the human mind, solving the long-standing computer information processing is not able to accurately grasp the human language and knowledge application of the problem, so that the processing of data to realize the depth of the function of discovery. This technical advantage is manifested in the actual transaction is the e-commerce platform can quickly reflect the language input by the user, and can accurately provide the commodity information that the user needs to play. This kind of processing greatly improves the efficiency and quality of information service, and makes the user satisfaction greatly improved. \x0d\(ii) Resilient Processing Capability \x0d\ The nature of the work of an e-commerce information processing system makes it necessary for it to have a strong resilient processing capability and to be able to respond in a very short period of time to all kinds of problems that arise in the operation of the system. The emergence of these problems is not accidental, but with the concurrent access of users and merchants collective marketing activities caused by a large number of order information, these situations in the current operation of the e-commerce system is relatively common, which requires the system in the face of a sudden increase in the volume of business with a strong capacity expansion and data storage capacity. The emergence of \x0d\ cloud computing technology has theoretically realized the ability to store information without upper limit as well as the ability to process information on an ultra-large scale, making it easy to cope with information on the order of terabytes and even petabytes of information processing. The implementation of this function does not require enterprises to replace the hardware system, and can be relatively low cost to enjoy the cloud computing storage and processing information services, on the basis of the application of the system model all-round layout and ensure the realization of the elasticity of the processing capacity, so that the resources to achieve the most optimal allocation. \x0d\(c) Information processing security performance \x0d\ network systems face the biggest problem is the information security problem, to ensure transaction security and user information security is more e-commerce enterprises should always be concerned about the topic. A major feature of the information age is the transformation of information into usable resources, or even information capital that directly creates economic value. In the field of e-commerce, big data is an important capital for the survival and development of enterprises, and the ability to control big data will become the main symbol of measuring the core competitiveness of enterprises. However, the emergence of big data has also brought great challenges to the security of information resources, due to its complex structure, the number of huge, and most of the sensitive information, it is easy to become the target of network attacks. \x0d\ big data processing technology in response to information security is a comprehensive assessment of performance, so that it can timely and accurately locate all kinds of network attacks or abnormal phenomena, and these abnormal data collection and organization through the analysis of the implementation of preventive measures. The security of cloud computing technology is also reflected in the transformation of safe and reliable information into cloud services and hosting this information in the cloud, providing specialized information protection measures and confidentiality programs for the user's information. \x0d\4, the development trend of big data processing \x0d\ The history of information technology development is not long, but at each stage of development there will be iconic types of technology and products. At present, the hot spot of information technology and will have a significant impact on the information industry is undoubtedly the cloud computing technology and big data processing f Division of the topic. In the e-commerce environment big data processing will develop more powerful and diversified functions, the specific development trends are as follows. \x0d\(a) Diversification of big data processing services and products \x0d\Currently, the services and products of e-commerce platforms are developing in the direction of diversification, in addition to e-commerce enterprises, government agencies, large conglomerates, and administrative institutions have joined or are joining in the construction of a data processing service platform in the cloud environment, and can be realized for small e-commerce enterprises that do not have adequate IT capabilities To carry out the output of services and products. \x0d\(ii) A new e-commerce operation model \x0d\ The emergence of cloud computing has not only brought about a large-scale and in-depth innovation of IT technical facilities, but also its numerous products such as the long-tail effect, the economic effect, crowdsourcing, and personalized services have had a significant impact on the reconceptualization of the concept of economics. These changes have contributed to significant adjustments in the business models of for-profit enterprises, which in turn have accelerated the pace of development towards a service economy and society. With the further development of information technology and the gradual improvement of existing technology, the traditional economic model will certainly be a serious impact, the business model will be followed by overall changes or even fundamental changes, and in the midst of the changes continue to carry out the exploration of new technologies, new methods and new ideas. \x0d\(c) IT facilities will become an important part of the core competitiveness of the enterprise \x0d\ The core competitiveness of the enterprise contains a variety of aspects, but it can be determined that all are factors that have a significant impact on the development of the enterprise. With the development of the modern information age and the extensive use of information technology in various fields, enterprise production, management, operation and other modules of the information technology will be able to adapt to the development of society and to maintain its competitiveness in the increasingly fierce market plays a pivotal role. Through the introduction and innovation of IT infrastructure, the optimal allocation of resources can be realized to the maximum extent, production quality and efficiency can be improved, the operating costs of enterprises can be reduced, and the overall management level of enterprises can be enhanced. Especially for e-commerce enterprises with a high degree of information technology dependence, the scalability of cloud computing architecture and big data processing technology is quite considerable, providing a safe and reliable environment for the storage, integration and management of massive amounts of information, and through the technological advantages of the IT infrastructure, it is possible to break through the upper limit of the development of e-commerce industry.