Informatica Big Data

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Informatica Data Management scheme interpretation of the value of the subdivision

At present, the biggest problem of large data processing is input-output ratio, that is, the data analysis into a greater effort can bring higher returns, however, with the advent of SNS and other new forms of Internet use, data types are more and more rich, data storage and processing also become diverse, data management has encountered unprecedented pressure. The science of data classification traditional data classification based on computer principle divides the data into structured data which can be processed directly by computer and unstructured data which cannot be measured, but such classification is only based on the difficulty of data processing, but ignores ...

New Idea of informatica layout of domestic market under large data wave

"The biggest benefit of large data to the entire enterprise is to reduce costs and achieve innovation." The entire industry model today will be subverted by the arrival of the big data age. "In today's data explosion era, whether it is new data or existing data, are the great wealth of enterprises, and to bring unprecedented business opportunities." But only the effective application and management of enterprise data can achieve the maximum return on data investment. For most enterprise CIOs, leveraging large data management techniques can help them gain competitive advantage, and as technology continues to evolve large numbers are being paid attention to by CIOs ...

Big Data hits Informatica to answer good ideas

What is big data? We live in an information explosion era, we receive a variety of messages every day: SMS, mail, telephone ..., we also produce a variety of information every day: microblogging, blog, Frid ... All kinds of information are filled with the world, how should we deal with and make use of such a large amount of information? The challenges posed by these problems have brought the industry to an unprecedented level of enthusiasm for "big data". Not long ago, journalists participated in the leading enterprise data integration software Independent ...

Maximum return on helping Chinese users achieve large data

In the big Data age, the three technology trends-cloud computing, social computing and mobile computing-are reshaping the IT world and driving the rapid growth of big data--greater capacity, more variety and faster speed. Under the new technology trend, how can we maximize the value of data? In the big data world, how can companies take advantage of great data? Informatica Senior Vice president and Chief Information Officer Tony Yang in August, "intelligent data Gathering value--2012 Informatica Global Tour" activities, ...

Large data more value data quality master Data management mining hidden value

To bring up big data, people think of the mass of data, the rapid change, the complexity of the content, but this is the whole of large data? In fact, within the enterprise, there are some known as "master Data" data form, they are not change, seemingly unrelated to the transaction, they may be the customer's order information, but also may be the basic information of suppliers, but why such data is so important? Reporter recently interviewed Informatica senior vice president and Master Data management Business Department general manager Dennis Moore, as the main data management business department head, he told reporters: "Large number ...

Large data more value data quality master Data management mining hidden value

To bring up big data, people think of the mass of data, the rapid change, the complexity of the content, but this is the whole of large data? In fact, within the enterprise, there are some known as "master Data" data form, they are not change, seemingly unrelated to the transaction, they may be the customer's order information, but also may be the basic information of suppliers, but why such data is so important? Reporter recently interviewed Informatica senior vice president and Master Data management Business Department general manager Dennis Moore, as the main data management business department head, he told reporters: "Large number ...

Big Data big challenge integration is the key

April 26, 2013-27th, the 2013 Global Technology Summit hosted by the 51CTO Media Group's wot (World of Tech) brand was held at the Renaissance Beijing Capital Hotel. This summit will focus on large data infrastructure and the application of the upper layer of the ecosystem, to solve large-scale data-related problems, explore large data base solutions, to stimulate the competitiveness of data mining, make the data sound. 51CTO as the host of this summit, will be the whole video, text broadcast live coverage of this data feast, more content please click on the topic: 2013 ...

Deep digging large data virtual data machine burden

"A fashion retailer in the United States integrates Twitter and Facebook users ' evaluation information on their products by adopting Informatica Master data management, data integration, and data quality technology, creating a model that impacts product purchases, identifying the most valuable customers, And by giving these users more discounts and other precision marketing methods, led to a large increase in sales. "Informatica company executive vice president and chief marketing officer Margaret Breya told reporters," the world more than 5,000 enterprises have Informa ...

After "Madly in Love", examine the pain and pass of big data

Like a high bonus car Grand Prix, first prepare the car, familiar with the track, and then adjust the good mentality, timely sprint, to get a good position. The big data also has the gestation period, the preparation period, the result originates from the demand and the desire.   Each period has pain points and difficulties, the result is the best. Big data has big energy. It is significant for economic growth-"in the US, in retailing and manufacturing alone, big data analysis has the potential to raise GDP by 325 billion dollars." "This is an exciting estimate from analysts. In the global economic growth slowdown and even fatigue is all the more urgent need for new ...

The difference between "big data" and "mass data"

Big data hit many years ago, the industry was discussing a topic: How to deal with massive data? In particular, some need to store a large number of user data industry, finance, telecommunications, insurance and other popular industries. Users almost every hour of the day, are likely to produce a large number of data, these industries storage equipment, must be the data generated during the period of meticulous record, in order to prevent loss, but also must do backup, but also have to do off-site disaster recovery backup, which is not finished, business interruption events can not exceed the number of time range, Otherwise it is a major accident, so must be through the IT system assurance industry ...

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