Big Data Quality Management

IBM (NYSE: IBM) today held an annual conference in Beijing called IBM's Information Management (IM) conference called "Information Management in the Big Data Age." At the conference, IBM explained carefully how IBM Information Management software is used in data warehousing and integration , Governance, optimization, analysis and other areas of advanced technology, and for participants to share how IBM has been through new technologies to help different industries, different sizes of businesses and institutions to deal with the challenges of the information explosion era: to face the surge in high efficiency The data to create ...

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 ...

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 ...

Remember last year 8 15 competition? If you are the CEO of a certain electric company, would you adopt such a competitive strategy? Change is the eternal theme, business management can not be static. In the big data age, it is unwise for the electric trader to adopt price warfare, and to control the management based on the big data strategy will help you to surpass the existing CEO. Cost leading strategy, differentiation strategy and centralization strategy are the three strategies that enterprises can choose in market competition. In the era of information explosion, the fourth competition strategy-large data strategy has become the support of the original three competitive strategies. Big Data change Enterprise decision ...

2014 Zhongguancun Large Data day on December 11, 2014 in Zhongguancun, the General Assembly to "aggregate data assets, promote industrial innovation" as the theme, to explore data asset management and transformation, large data depth technology and industry data application innovation and ecological system construction and so on key issues. The Conference also carries on the question of the demand and practice of the departments in charge of the government, the finance, the operators and so on to realize the path of transformation and industry innovation through the management and operation of data assets. In the afternoon financial @big data Forum, ...

Traditional data storage and management are based on structured data, so relational database systems (RDBMS) can meet the needs of various applications.

If you want to summarize your dataset to a http://www.aliyun.com/zixun/aggregation/14417.html ">apache Hadoop cluster that you cannot coexist in a similar database, If you expect to build a unified view between them, you may feel a rude awakening. Quality issues are not uncommon when starting to address sources of information that have not been fully utilized in the past. When exploring underutilized data, quality problems can become a rat's nest full of filth ...

The growth of data volume into a sudden event is the thing of the last two years. The social changes generated by the application of the Internet make a series of data start from the client rather than from the enterprise. The growth rate of the data volume increases with the new progression. On this basis, 70%-85% of the data is "a complex of multiple data formats." The management model of future data is very different from today. In addition, 87% of the database performance problems are related to the increase in data volume. This is a data survey based on Oracle. Gartner found that the direct impact of data volume is ...

How will the coming data revolution change business, government services and even ordinary people's social life? At the moment you were born: boy, 7 pounds 82, and your parents no longer argue about who you look like, because they already know everything about you. The computer calculates your genetic information, your birth environment, results of data analysis you will have 43% like your mother, 57% like your father, and everything in your future is clearly visible: your intellectual level determines that you will only go to a local university (you don't have to work too hard at Tsinghua, Peking University or Yale, Harvard), You're not good at skiing.

Remember last year 8 15 competition? If you are the CEO of a certain electric company, would you adopt such a competitive strategy? Change is the eternal theme, business management can not be static. In the big data age, it is unwise for the electric trader to adopt price warfare, and to control the management based on the big data strategy will help you to surpass the existing CEO. Cost leading strategy, differentiation strategy and centralization strategy are the three strategies that enterprises can choose in market competition. In the era of information explosion, the fourth strategy of big competition strategy becomes the support of the original three competitive strategies. Large Data Change ...