On Demand Data

Absrtact: The importance of data has been more and more well-known and accepted by more and more companies and individuals, even the momentum of too much overkill. The concept of large data flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not the importance of data has been more and more companies, individuals are familiar with and accept, and even the momentum of overkill. The concept of large data is flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not in the data circle mixed. Then, by the outside gadget ...

One, what is the demand to meet 1.1 what is the need to meet users to search for "octopus Paul", in terms of textual relevance, search engines simply return to the "Octopus Paul" content related to the results can be, so the user is satisfied? User A: I heard that Octopus Emperor Hung, to see the latest results, how all is August, back page ... User B: Today colleagues are talking about the octopus brother Hung, what is the octopus brother? I again out, to search the Octopus Emperor's life story is what, how all is the latest results, no Octopus brother Introduction Ah, transform a query to see users ...

With large data growing in data centers and cloud environments, how to manage networks that transmit millions of of records at the same time is an unprecedented problem. This is not just a matter of data size--when it comes to large data network solutions, not only is the size of the data really negligible, but so does the workload. Large data environments do not simply operate on the basis of past data infrastructures. Given the complexity and speed of running large data application software, large data needs to be tailored to its own solution. The "traditional" data analysis architecture assumes a limited source of data, and they have ...

The God of the Bible says, there is light, so there is light. We are not God, product design research and development listed sales can not be so easy, can not say I want to have users will bring users. It must be closely combined with the user's own characteristics to meet specific needs. Wanted to talk about how products attract users, later found that the topic is too wide too deep, attract users of the method contains a lot of product life cycle marketing means, nature is not in the designer's concern, so the title changed to chat on-demand design, discuss how the product to meet the different types of users, due to the theory of bias, No patience to read as long as the close ...

Guide: In the project, the user's dictionary is a document, revenue, reports, audits, and so on, while the developer's dictionary is key values, indexes, buttons, events, and requirements analysis is like a translator, the language of the user and the language of the developer together, so that both sides understand each other's meaning accurately,   　　So that both sides really understand each other's thinking before starting the development work. In the author's previous post, "How to write the code for their own satisfaction," a reader in the comments mentioned that the user requirements are not determined in the overall design phase of the question ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall in a blog post I wrote earlier, "How to write your own code of satisfaction," some readers in the comments mentioned the uncertainty of user requirements in the overall design phase is always a problem. Requirements analysis is of course very important, even in some cases more important than the overall design. 　　So how do you understand requirements analysis? Google keyword "Demand analysis", the internet has a lot of related articles, there are many have been written like textbooks as comprehensive and accurate, but also provide some of the best ...

1. The introduction of large data production makes data analysis and application more complex, difficult to manage. According to statistics, the amount of data produced in the world over the past 3 years is more than the previous 400 years, including documents, pictures, videos, web pages, e-mail, microblogging and other types, of which only 20% are structured data, 80% is unstructured data. The increase of data makes the data security and privacy protection problem become more and more prominent, all kinds of security incidents to the enterprise and user wake-up alarm. Throughout the data lifecycle, businesses need to comply with stricter security standards and confidentiality rules ...

San Francisco: According to an independent report from 20.5 to 2010 on electricity consumption in computer data centers, the http://www.aliyun.com/zixun/aggregation/31873.html "> As the global economy slumps and new energy-saving technologies emerge, the rising demand for electricity in computer data centers has finally come to an end. Research shows that the power consumption of computer data centers has not increased as expected in part due to the 2008 economic crisis. Research shows Google's data ...

October 20 News, according to foreign http://www.aliyun.com/zixun/aggregation/31646.html "> Media reports, SAP launched a BusinessObjects business intelligence on-demand products at the company's TechEd meeting held in Wednesday. The product is based on SAP's high-performance analysis application Hana Platform, provides detailed real-time data analysis cloud services, timely, efficient and user-friendly interface. Hana early this year, the use of memory ...

Intermediary transaction SEO diagnosis Taobao guest Cloud host technical Hall The purpose of the data Warehouse is to build an integrated data environment for analysis, and to provide decision support for enterprises (Decision Support). In fact, the data warehouse itself does not "produce" any data, at the same time does not need to "consume" any data, data from the outside, and open to external applications, which is why called "Warehouse", not called "factory" reasons. Therefore, the basic structure of the data warehouse mainly contains the data inflow and outflow process, can be divided into three layers-source data ...