Teradata Use Cases

Teradata, chief executive of the Greater China region, Singlun, said in an interview with Sina Science and technology, with the arrival of large data era, enterprises should be in the internal training of three kinds of ability: first, the ability to integrate enterprise data; second, explore the value behind the data and the ability to develop precise action programmes; The ability to perform accurate and rapid real-time operations. Data rapid growth Teradata Company is an intelligent analysis solutions vendors, mainly for enterprises and government agencies do data integration, analysis, exploration, mining data behind the value, thereby enhancing customer production competitiveness ...

2013 Teradata Big Data Summit was held in Beijing International Hotel recently. Teradata Business Consulting Manager The Yellow Sea has shared some of the experience of business intelligence applications in the aviation industry at the club, saying the aviation industry faces the same challenges as big data, and how it can be used to provide better support will be key to the success of aviation companies. The five major trends of aviation industry in the current development trend of the aviation industry, the Yellow Sea, the main five obvious trend: the development cycle growth, revenue volatility intensified. The global market competition strengthens, many big ...

2013 Teradata Big Data Summit was held in Beijing International Hotel recently. Teradata Business Consulting Manager The Yellow Sea has shared some of the experience of business intelligence applications in the aviation industry at the club, saying the aviation industry faces the same challenges as big data, and how it can be used to provide better support will be key to the success of aviation companies. The five major trends of aviation industry in the current development trend of the aviation industry, the Yellow Sea, the main five obvious trend: the development cycle growth, revenue volatility intensified. The global market competition strengthens, many big ...

"The key is not in what methods, but in being able to really solve problems using any available tool or method," said Forrester analyst James Kobielus in a blog about Big data. "In recent years, with the urgent sense of solving big data problems, many organizations have started to explore the data architects." 　　In short, traditional databases and business intelligence tools that they typically use to analyze enterprise data are no longer competent for large data-processing tasks. To understand this challenge, we must go back to 10 years ago: There were very few t ...

We have all heard the following predictions: By 2020, the amount of data stored electronically in the world will reach 35ZB, which is 40 times times the world's reserves in 2009. At the end of 2010, according to IDC, global data volumes have reached 1.2 million PB, or 1.2ZB. If you burn the data on a DVD, you can stack the DVDs from the Earth to the moon and back (about 240,000 miles one way). For those who are apt to worry about the sky, such a large number may be unknown, indicating the coming of the end of the world. To ...

For large companies, the rise in large data is partly because computing power is available at lower cost, and systems are now capable of multitasking. Second, the cost of memory is also plummeting, and businesses can handle more data in memory than ever before. And it's getting easier to aggregate computers into server clusters. 　　Carl Olofson, IDC's database management analyst, believes the combination of these three factors has spawned big data. "Not only do we do these things well, but we can do them at a lower cost," he said. "There used to be ...

Do you have a http://www.aliyun.com/zixun/aggregation/14208.html > data model? Don't you even know exactly what the data model means? This is an important issue. Today, companies are in a more severe economic situation, forcing them to focus on operational efficiency anytime, anywhere. At the same time, there is a lot of data, and the data is growing exponentially each year. However, if you do not use a schema or business environment to define this data, most of the information resources are largely ...

This article will introduce big SQL, which answers many common questions about this IBM technology that users of relational DBMS have. Large data: It is useful for IT professionals who analyze and manage information. But it's hard for some professionals to understand how to use large data, because Apache Hadoop, one of the most popular big data platforms, has brought a lot of new technology, including the newer query and scripting languages. Big SQL is IBM's Hadoop based platform Infosphere Biginsight ...

Cady Wang (Wang Nanan) you want to know big data, but don't know the jerky terminology? Do you want to know the market and application of large data, but there are no good cases and explanations? 　　Don't worry, this little book from the Wikibon community wants to help you. 　　Yes, this is a small book rather than an article, because it is detailed and meticulous to let you from a completely do not understand the large data technology and related applications of the layman to become a familiar with its concept and meaning of the "inner pedestrian", so it is great! Translator Cady Wang Nanan spent a lot of effort to translate this small book, insufficient ...

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 ...