Using System Data

This paper mainly introduces the ISAS5710 system for Data mart and ODS application, and takes ISAS5710 Medium system as an example, it focuses on how to install and configure the ISAS5710 system, how to design and deploy the database of User data mart and relevant analysis and application, To help you quickly learn the basics of using ISAS5710 Rapid Deployment Data mart applications. With the continuous improvement of user's business system and the increasingly fierce market competition, more and more enterprises are building data Warehouse, Data mart ...

Recently, it& Communications, the leading enterprise NEC application of large data analysis technology, successfully developed a "large equipment fault omen monitoring system" can be applied to power stations, factories and other large-scale facilities fault monitoring. Through this system, the operator can automatically define the sound running state of the equipment from the huge amount of information, through the http://www.aliyun.com/zixun/aggregation/8007.html with real-time data "> Comparative analysis, Find the strange before the equipment failure. Because in the system ...

Recently, it& Communications, the leading enterprise NEC application of large data analysis technology, successfully developed a "large equipment fault omen monitoring system" can be applied to power stations, factories and other large-scale facilities fault monitoring. Through this system, the operator can automatically define the sound running state of the equipment from the huge amount of information, through the comparison and analysis with real time data, find out the difference before the equipment failure. Due to the integration of NEC patented sensor information in the system of large data analysis technology--invariant, operators do not need to carry out complex settings and expertise, can identify the data ...

Storing them is a good choice when you need to work with a lot of data. An incredible discovery or future prediction will not come from unused data. Big data is a complex monster. Writing complex MapReduce programs in the Java programming language takes a lot of time, good resources and expertise, which is what most businesses don't have. 　　This is why building a database with tools such as Hive on Hadoop can be a powerful solution. Peter J Jamack is a ...

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 ...

Several articles in the series cover the deployment of Hadoop, distributed storage and computing systems, and Hadoop clusters, the Zookeeper cluster, and HBase distributed deployments. When the number of Hadoop clusters reaches 1000+, the cluster's own information will increase dramatically. Apache developed an open source data collection and analysis system, Chhuwa, to process Hadoop cluster data. Chukwa has several very attractive features: it has a clear architecture and is easy to deploy; it has a wide range of data types to be collected and is scalable; and ...

With the rapid growth of the amount of storage data, more and more people begin to pay attention to the method of reducing storage data. Data compression, single-instance storage, and duplicate data deletion are frequently used storage data reduction techniques. Duplicate data deletion often refers to the elimination of redundant child files. Unlike compression, duplicate data deletion does not change the data itself, but eliminates the storage capacity that the same data occupies. Data de-duplication has a significant advantage in reducing storage and reducing network bandwidth, and is useful for scalability. As a simple example: in the special for telecommunications operations agreed to the call details to apply ...

"Zhongguancun Large Data Industry alliance" launched the "Big Data 100 Points" forum, at night 9 o'clock, in the "Zhongguancun Large Data Industry alliance" micro-letter group for 100 minutes of communication and discussion. Bai: As today's Speaker is the Chinese Academy of Sciences Cheng researcher, we welcome! Bai: Deputy General engineer, researcher, doctoral tutor, director of Network Science and Technology Key Laboratory, Institute of Technology, Chinese Academy of Sciences. As the Chinese Academy of Sciences, the Internet high-performance software and algorithm theory, network search, network information security direction of the team leader and discipline leader, led group ...

"Zhongguancun Large Data Industry alliance" launched the "Big Data 100 Points" forum, at night 9 o'clock, in the "Zhongguancun Large Data Industry alliance" micro-letter group for 100 minutes of communication and discussion. Bai: As today's Speaker is the Chinese Academy of Sciences Cheng researcher, we welcome! Bai: Deputy General engineer, researcher, doctoral tutor, director of Network Science and Technology Key Laboratory, Institute of Technology, Chinese Academy of Sciences. As the Chinese Academy of Sciences, the Internet high-performance software and algorithm theory, network search, network information security direction of the team leader and discipline leader, led group ...

The design and development of hospital financial management and decision system based on large data four military medical University Tang This thesis mainly completes the following work: 1. Analysis of the system requirement of hospital financial management and decision making based on large data the data from the existing hospital financial management information system and related subsystems, Through the export of financial and related data acquisition and analysis, and in accordance with China's financial software data Interim standard interface for standardization, standardization and customization. Through the establishment of modern hospital financial management framework, to meet the current hospital financial management digital ...