Data Warehouse Consolidation

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 ...

Most data warehousing projects will bring huge investment. For example, the Nordbanken bank, a European lender, spent 100 million euros to build a data warehouse system for data unification across regions and business units. However, in the face of the same business challenges, another European bank, UniCredit, has taken a radically different approach. "Our philosophy is to look for space in other projects, as long as there are any other projects," UniCredit chief financial officer Criscito Ambrisi said in an interview.

When new technologies emerge, large telecoms, pharmaceutical and energy companies are deployed quickly, and retail, government and smaller businesses typically start to deploy after new technology has entered the mainstream market. In view of the fact that data virtualization is already in the mainstream market, how is the data virtualization deployment of SMEs? How will these companies benefit from this? What is Data virtualization? Data virtualization is a method of data consolidation, a technology that companies use to provide users with data business perspectives, improve business agility, and reduce IT costs. Data virtualization technology is a data integration middleware form, it ...

Teradata Corporation (Teradata Corporation, NYSE: TDC) recently announced the launch of the Teradata Unified Data Environment (TERADATA, unified data Environnement) and the Unified Data Architecture (Unified). Teradata Unified Data Environment is a framework that can help enterprises to deal with all types of data and a variety of teradata systems. Tere ...

May 28, the Teradata Data Warehouse summit in Sanya ushered in the tenth year, Teradata to the Chinese user introduced the Teradata Geospatial solution, accompanied by, not only the influx of massive data, there are more can be used for decision making reference, This is the new industry standard that Teradata to bring to the data warehouse. Teradata Geo-space Solutions Teradata Chief Technology Officer Baoliming at the Teradata Data Warehouse summit to introduce users to the Teradata last year ...

With so much hype about big data, IT managers have a hard time knowing how to tap into the potential of big data.     Gartner points to five misconceptions about big data to help IT managers develop their information infrastructure strategy. Alexander Linden, Gartner research director, said: "Big Data offers great opportunities, but it also poses greater challenges." Massive amounts of data do not solve the problems inherent in the data. IT managers need to break all kinds of hype, according to the known ...

There are often misconceptions about the relationship between big data and cloud computing. 　　And they will be mixed up to say, do one sentence of a straightforward explanation is: cloud computing is the virtualization of hardware resources, large data is the efficient processing of massive data. Although the above sentence explanation is not very appropriate, but can help you to understand the difference between the two. In addition, if you do a more vivid explanation, cloud computing is equivalent to our computer and operating system, will be a lot of hardware resources virtualization after the allocation of use, in the field of cloud computing is now the boss of Amazon, can ...

Biomedical data cover a wide range of areas related to human health: clinical Medicine, public health, pharmaceutical Research and development, medical markets and costs, individual behavior and emotions, human genetics and genomics, social demography, environment, health networks and media data.   Large data (Bigdata) is a dataset that cannot be crawled, managed, stored, retrieved, shared, transmitted, and analyzed by conventional software for a certain period of time due to its capacity too big and too complex. &n ...

Since enterprises and CIOs began to try data mining, the island of data has hindered the improvement of the efficiency of business intelligence. Islands of data, in other words, expensive, tail databases that need to be maintained but not compatible with each other, are expected to discover great knowledge from them, no doubt in impossible. In other words, the number of databases has nothing to do with the amount of knowledge that is mined. As one business intelligence expert has said, the incoming and outgoing is rubbish. When it comes to big data analysis-or data 3V (categories, numbers and growth rates), it's a buzzword that chokes most companies. Because, according to the points ...