Cloud Based Etl

With the development of telecom industry, the competition among telecom operators has become fiercer. In order to win in the competition, the right business strategy becomes the key link of the telecom operator's success. Telecom operators have a large number of user data information, using data mining technology, can be in billing data, business order data, network management data, such as the mass user data found business knowledge, for the market to lay the foundation for precision marketing. With the expansion of China Mobile users and the diverse demands of application targets, data mining applications face new challenges. First of all, the user size is growing, by a large number of users produced a huge amount of data, including ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

Research on cloud computing application based on IDC Li Jiang Heng Wang gang in order to alleviate the mobile communication hub power resources pressure, to solve the old hardware equipment aging, to meet the current business volume and data extraction, conversion and loading, through the cloud computing distributed computing virtualization technology and ETL tools and other methods, The Data Mart cloud architecture of the bass system in IDC room was upgraded. Research on cloud computing application based on IDC

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...

Bi-paas Jiangzhixiong Jinhai of Business intelligence system based on parallel mechanism Huang the challenge to traditional business intelligence software presented by mass information processing, a business intelligence (BI) system based on parallel mechanism (BI-PAAS) is designed and implemented. The system is built on the large cloud infrastructure of China Mobile, with the strong parallel computing and distributed storage capability of cloud computing as the support, it will parallel the capabilities of ETL, DM, OLAP, and so on. Experimental results show that ...

Data processing of wide-area measurement system based on Hadoop Chichiang Julie; Zhang Shilin in order to solve the problem of data redundancy and low processing efficiency in the mass data processing of wide area Measurement system (WAMS), a WAMS data processing cloud computing platform based on Hadoop was designed and implemented. First, the architecture of the platform is given. Secondly, a wams mass data loading method based on Hadoop Distributed File System (HDFS) is designed and the MapReduce model is used to realize multiple file data.

The greatest fascination with large data is the new business value that comes from technical analysis and excavation. SQL on Hadoop is a critical direction. CSDN Cloud specifically invited Liang to write this article, to the 7 of the latest technology to do in-depth elaboration. The article is longer, but I believe there must be a harvest. December 5, 2013-6th, "application-driven architecture and technology" as the theme of the seventh session of China Large Data technology conference (DA data Marvell Conference 2013,BDTC 2013) before the meeting, ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology two articles in front of the hall--analysis premise-Data quality 1 and premise of analysis-data quality 2 The statistic information of data profiling is introduced, and the data auditing is used to evaluate whether it is stored In quality issues, the quality of the data can be reviewed through three aspects of completeness, accuracy and consistency. This article introduces the last piece-data correction

Cloud services are playing an important role in large data applications, especially for short-term tasks or applications that have large amounts of data stored on the cloud. Cloud services are attractive to everyone. When someone says to you that their big data strategy is "store all the data in the cloud," you can't tell whether these people are visionary or simply repeat what the experts have suggested to them at the industry meeting. There is no doubt that there is a huge overlap between the big data and the cloud paradigm. These intersections are so broad that you can justifiably claim that you are ...