Data Warehouse Software

Internet giants Google and Facebook have achieved huge value by managing and analyzing big data, prompting CIOs to ask whether emerging technologies can create brilliant results within their own businesses. The idea is partly encouraged by industry analysts predicting that big data will grow at breakneck speed. Wikibon predicts that by 2015 the big data market will jump from $5 billion trillion in 2012 to more than $30 billion trillion, up to $53.4 billion in 2017 (where you can ...).

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 ...

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 ...

"IT168 Information" December 13, 2012 news, Microsoft Parallel Data Warehouse Global Center for Excellence director Russ Cavan to the Chinese market, introduced Microsoft's big Data strategy and parallel Data Warehouse Integration 2012 Product Roadmap, 　　At the same time, the announcement of Microsoft Parallel Data Warehouse machine first settled in the National Audit department. 2013, China will enter the third year of Twelve-Five planning ...

In the large data age, the Hadoop distributed processing architecture brings new life and challenges to it, data management, and data analysis teams. 　　With the development and expansion of Hadoop ecosystem, enterprises need to be ready for the rapid upgrading of technology. Last week, the Apache Software Foundation just announced a formal GA for Hadoop 2.0, a new version of Hadoop that will bring a lot of change. With HDFs and java-based MapReduce as core components, the early adopters of Hadoop ...

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 concept of online games has attracted the attention of many institutions, including the Fund. According to wind information statistics, the Securities Daily Fund news department shows that there are 26 online game concept stocks, of which the fund holds 16 in the two quarter. 　　As of July 25, a total of 1.5 billion yuan has been floating in the three quarter. However, wind data show that the concept of online games to do the stage "faucet", as of July 25, if the trend of the year, the best is the palm of the technology, the increase is 294.75%; but, the best in the two-quarter gains are in the green treasure, the rise ...

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 ...

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 ...

In the field of telecommunications and it, a complete system consists of various kinds of basic physical resources and software resources, the basic physical resources provide computing, storage, network and other hardware capabilities, and all kinds of software constitute a variety of colorful applications. 　　These applications are developed by different manufacturers, based on different operating system platforms, using different software architectures, with different deployment patterns, the application of diversification will inevitably bring the complexity of software management. The software management described in this paper mainly refers to the lifecycle management of the software in the field, including the release of software, configuration management, distribution and deployment, patch management 、...