Big Data 2.0

Go to Marketing 2.0 Times Editor's note: This is a "sales and market" to write a big article, should have more than 12,000 words. Although writing has been written more comprehensive, but still deeply inadequate, especially in how to find the crowd, how to carry out marketing plans, how to make full use of the wisdom of the masses, and so on, not how to write, please wait for my later articles. 　　I am not a person who likes too much theory, just marketing 2.0 can't do some work. Marketing 2.0 is not a ready-made tool to provide existing market competition, but a bar to the future market competition ...

When Cloud 2.0 transforms the two-dollar relationship between the cloud and the end into a business relationship, human beings will have a spectacle: they can tyrants the data-form assets, "hit the fields" like the Sun monkeys, and then liberate them--like the four hundred thousand or five hundred thousand developers in the App store model--labor. Cloud computing starts with technology and ultimately returns to people. Cloud Computing 2.0 is the cloud that shifts from electronics to commerce. Just as the centre of information shifts from technology to business, cloud computing will also experience a shift from technology to business. In this process ...

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...

The industry has divergent views on the concept of large data. One of the most notable is the definition of the authoritative research institute Gartner: Large data is the ability to gather, manage, and process data for its users over an acceptable period of time, beyond the common hardware environment and software tools. Large data is not a simple data capacity, data speed, complexity and diversity are the key characteristics of large data. Big data often comes from new data sources, where unstructured data is the absolute mainstay. Unstructured data refers to those data that are not convenient to use in two-dimensional logical tables of the database, including all forms of office ...

With the development of the industry, its business opportunities show a variety of trends. 　　"Big Data" was used in the 2014 vocabulary, but in fact, due to the lack of data, large data cleaning and analysis capacity, as well as data visualization bottlenecks, and other issues, "Big data" has been unable to delay landing. Recently, with the development of infrastructure, it means that the development of large data has come to a new critical point. System software supplier Software AG Gagan Mehra, on the VentureBeat website, elaborated his recognition of the next development of big data ...

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall Wen/Ming Road Vice President Xu Wei and the year web2.0 comes out some similar, Enterprise 2.0 This concept comes out later, we found that despite the article many, but still did not know it is a thing. 　　As a practitioner of 2.0 industries, I would like to make it clear in a more understandable language. Enterprise 2.0 is also called Corporate social collaboration, the first by Harvard Business School professor Andrew ...

In the past, Hadoop seemed to be synonymous with big data. But with the recent deepening of large data applications, it has become increasingly popular to just think of it as a storage tool for large data. But that's not necessarily a bad thing. Taking Hadoop as a cheap and efficient storage is just the perfect starting point for the next phase of Hadoop's evolution. The Hadoop 2.0, which is to be unveiled this summer, will make the information in the Data warehouse and the unstructured data pool more accessible than ever before. Hadoop bucket Since becoming a big data tool, Hadoop is a ...

In the past, Hadoop seemed to be synonymous with big data. But with the recent deepening of large data applications, it has become increasingly popular to just think of it as a storage tool for large data. But that's not necessarily a bad thing. Taking Hadoop as a cheap and efficient storage is just the perfect starting point for the next phase of Hadoop's evolution. The Hadoop 2.0, which is to be unveiled this summer, will make the information in the Data warehouse and the unstructured data pool more accessible than ever before. Hadoop bucket Since becoming a big data tool, Hadoop is a ...

Since the implementation of the big Cloud project of China Mobile, the construction of its cloud platform has been gradually improved, during the sixth session of the International Mobile Internet Symposium, China Mobile released a big Cloud 2.0. Following the Sutra 1.0/1.5 version, the launch of the Big Cloud 2.0 will further push the mobile cloud platform to commercial. Huang, dean of China Mobile Research Institute, also said that the 1.5 version of the big cloud has been effectively applied in many fields, while the 2.0 version not only shows that China Mobile's overall technology level has been greatly improved, but also narrowed the gap with Google, Amazon and other related products, and gradually walked to the business ...

2008, http://www.aliyun.com/zixun/aggregation/1560.html ">facebook gave a gift to large data users. Social giants open source Cassandra--nosql large data distributed databases. 　　Today, with the advent of Cassandra 2.0, this gift is becoming more precious. Since 2008, under the direction of the Apache Software Foundation (ASF), Cassandr ...