Cloud Warehouse Management System

"Billion Power network news" a few days ago, the domineering Liu by the media poked a soft rib: five major logistics center cost gap of 5 billion yuan, has been known for large investment in warehousing and logistics, is referred to only the individual warehouse for alteration or expansion. 　　And the size of the son of Suning easy to purchase at this time is the integration of the group logistics resources, claiming that the future of large goods built 92 warehouses, the national build 120 points, covering the radius of 150 kilometers, delivery time shortened to half a day, a daily to meet the sales size of 1 billion. Some peers also said to build automated warehousing, but at present it belongs to thunder ...

I think the data Warehouse can help the enterprise to deal with the data problem in three ways: first, in an enterprise Data warehouse, you divide your data according to the subject area, which is often more stable. 　　Organizations that want to understand the "big data" concept need to make a choice between the traditional data warehouse concept and the existing Data Warehouse architecture, or the increasingly popular open source Hadoop distributed processing platform, or the combination of the two. Those who want to move from simple BI reports to deep data mining and predictive analytics ...

Recently, the world-renowned 12th annual Teradata Data Warehouse and Enterprise Analysis Summit held in Suzhou, chapter of "The ultimate interpretation of the value of data" as the theme, in-depth discussion of how enterprises to fully utilize the latest data warehouse and enterprise analysis technology, with the help of data sources to provide insight to quickly formulate the best business decisions, grasp the business opportunities. At the press conference, Teradata dynamic Enterprise Data Warehouse platform 6690 (Active EDW 6690) platform began to supply, provide the latest generation of hybrid storage, further enhance the capacity of data warehousing, help ...

This method allows the architect to complete the build locally to provide the expected workload and overflow to the on demand cloud HPC to cope with the peak load. Part 1th focuses on how system builders and HPC application developers can extend your systems and applications most efficiently. Processor cores with custom extensions and shared memory the external HPC architecture of the internet is rapidly being replaced by on-demand clustering, which leverages off-the-shelf general-purpose vector collaboration processors, converged Ethernet (each link Gbit or higher), and multicore headless ...

In Heilongjiang Province Suifenhe border Economic cooperation zone, covers an area of 31000 square meters of Sino-Russian Cloud Warehouse project is under construction. Suifenhe border Economic Cooperation zone, deputy director of the CMC Wang Dianyun said: "Sino-Russian Cloud Warehouse distribution center will help China and Russia to enter the new era of Cross-border E-commerce." "Sino-Russian Cloud Warehouse project from the site has lasted 4 months, infrastructure construction has been beginning to outline." The Russian Cloud Warehouse project staff in the heart of the "China-Russia cross-border Electricity business blueprint" is increasingly clear, more people do not know that the so-called "open the new model of Sino-Russian trade," the Sino-Russian cloud Cang is sacred. Reporter with ...

The design of data cloud warehouse of intelligent power grid under Hadoop cluster Zheng Meng Wen Yidong Liang for the large scale of power grid data, with many types, small value density, fast changing speed and discrete geographical location, this data can be efficiently, reliably and cheaply stored and quickly accessed and analyzed to meet the needs of intelligent power grid operation and overhaul , benefit management and other applications, this paper puts forward the solution of the intelligent power grid data Cloud warehouse under the low voltage PC cluster of Hadoop, which provides an effective, reliable and inexpensive tool for mining the massive power grid data. First, the characteristics of large power grid data are analyzed.

Over the past three years, the Hadoop ecosystem has expanded to a large extent, with many major IT vendors introducing Hadoop connectors to enhance the top tier of Hadoop or the Hadoop release that the vendor uses. 　　Given the exponential growth in the deployment rate of Hadoop and the growing depth and breadth of its ecosystems, we wonder whether the rise of Hadoop will lead to the end of traditional data warehousing solutions. We can also put this issue in a larger context to discuss: to what extent, large data will change ...

Cloud computing and data warehousing are a reasonable couple. Cloud storage can be scaled on demand, and the cloud can contribute a large number of servers to a specific task. The common function of Data Warehouse is the local data analysis tool, which is limited by calculation and storage resources, and is limited by the designer's ability to consider the new data source integration. If we can overcome some of the challenges of data migration, the problem can be solved by moving a data warehouse and its data analysis tools from dedicated servers in the datacenter to cloud-based file systems and databases. Cloud data management is often involved in loading and maintaining text in Distributed File systems ...

The traditional business intelligence system only serves for the decision person, and is affected by the security factor, the analysis data can only be reflected in the local user terminal, but manifests the way almost is the ordinary computer. With the rapid development of computing and Internet technology, the mobility and activity space of sales, market and decision makers are more and more, more and more managers involved in decision-making, the real-time and interactive requirements of information transmission are more and more high, which puts higher demands on business intelligence. The development of the next generation business intelligence requires that it not only can provide strategic decision for senior decision-makers, but also can ...

The big data age is putting pressure on data storage, and more and more organizations need to build a storage platform that can store large amounts of structured and unstructured data on the basis of cloud computing technology. 　　Cloud storage should be "cloud"-born. The so-called cloud storage, refers to through the cluster application, grid technology or Distributed file system functions, the network of a large number of different types of storage devices through the application software together to work together to provide data storage and business access functions of a system. The key to implementing cloud storage that adapts to user needs is to choose a strong data architecture based on application and deployment requirements ...