System Data Services Common

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Large data turn financial services from extensive management to scientific management

August 19-20th, approved by the Ministry of Industry and Information technology, sponsored by China Communications Society, co-organised by Chinese Telecom, China Mobile and Unicom, 2014 China International Data Conference held successfully in Beijing.   36 Large data (36dsj.com) as the chief guest of the media to participate in the full coverage of the Conference, the following is the executive vice president of UnionPay Chaihong in the "Big Data application and development" venue speech, the main speech titled "China UnionPay Financial data exploration and practice." Moderator: The next guest speaker is from China UnionPay Executive Vice President Chaihong ...

How to improve the personality of big data services

In today's era of big data, businesses can learn more about consumers through a number of channels and can even understand what they need than consumers themselves. But in fact, very few companies really understand the depths of consumers, to give attentive personalized service, the enterprise is not enough intentions or the customer is too picky? In the data age, how companies should be better and faster to meet consumer spending Personal needs, to reach their psychological expectations? In the big data support, the company's personalized service will become more reliable, more popular? The rapid growth of big data and related technologies ...

is a large data processing system an IT tool or a business system?

For the business staff, especially the data scientists, Informatica's intelligent data platform is not only an intelligent large data preprocessing tool, but also can bring direct value to the enterprise as the business system. Internet companies often emphasize the details and micro-innovation, the product of a certain function to the extreme, so as to firmly attract a large number of users. But enterprise-class vendors are different, preferring to platform their products. The advantage of the platform is that you can integrate as many functions as possible to facilitate the department ...

"Bdtc Sneak Peek" Chen Jidong: decryption ant gold suit based on large data security and wind control system

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

The American Privacy protection system in the "Big Data Age"

May 2014, the Executive Office of the United States (Executive Office of the President) released the 2014 global "Big Data" white Paper – Big Data: Seize the opportunity, Guardian value (Bigdata:seize opportunities, Preserving Values) (hereinafter referred to as "white Paper"), the United States of large data application and management of the status quo, policy framework and improvement proposals are focused on. The value represented by the white paper ...

Three of the most common ways to use Hadoop for data control

Just a few weeks ago, the launch of Apache Hadoop 2.0 was a huge milestone in the field of Hadoop, as it opened up an unprecedented revolution in the way data is stored. Hadoop retains its typical "big data" base technology, but does it fit into the current database and data Warehouse usage? Is there a common pattern that can actually reduce the inherent complexity of usage? The general pattern Hadoop uses is originally conceived for companies like Yahoo, Google, Facebook, etc.

Three of the most common ways to use Hadoop for data control

Just a few weeks ago, the launch of Apache Hadoop 2.0 was a huge milestone in the field of Hadoop, as it opened up an unprecedented revolution in the way data is stored. Hadoop retains its typical "big data" base technology, but does it fit into the current database and data Warehouse usage? Is there a common pattern that can actually reduce the inherent complexity of usage? The general pattern Hadoop uses is originally conceived for companies like Yahoo, Google, Facebook, etc.

Data resource system--the inevitable choice of building large traffic in large data age

Introduction: China's e-government information construction after nearly 20 years of development, many departments of information construction has gone through the key business applications and departmental application of the stage, and began to apply to the enterprise-level transformation. The so-called enterprise-class application, that is, how all kinds of information resources related, integration, synergy, interaction and on-demand services become the focus of attention, that is, the need to focus on the relevance of data between the needs of more and more attention to the status of But in fact we will find that the actual situation is that the original dozens of or hundreds of islands of information are being replaced by several or dozens of larger, more complex islands of information, informatization projects ...

Shared services workloads in IBM pureapplication system

In this article, the author describes some of the basic concepts of shared services, describing the sample shared services plug-in in the plug-in Development Kit (PDK), which provides a good starting point for creating a new shared service. The author will also describe how to convert the sample shared services to functional general media sharing services, a generic service repository in which client deployments can obtain common files. Shared Services is a predefined pattern that is deployed in the cloud and deployed by multiple client applications in the cloud (such as virtual applications, Http://www.aliyun ...).

Data resource system--the inevitable choice of building large traffic in large data age

Introduction: China's e-government information construction after nearly 20 years of development, many departments of information construction has gone through the key business applications and departmental application of the stage, and began to apply to the enterprise-level transformation. The so-called enterprise-class application, that is, how all kinds of information resources related, integration, synergy, interaction and on-demand services become the focus of attention, that is, the need to focus on the relevance of data between the needs of more and more attention to the status of But in fact we will find that the actual situation is that the original dozens of or hundreds of islands of information are being replaced by several or dozens of larger, more complex islands of information, informatization projects ...

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