Nosql Spatial

A data storage technology of map tile based on NoSQL Chen, Liang, Hao Wen, Juagen, Li Yuxiang, Shu Fangfibenwen Firstly, this paper introduces the origin and development of NoSQL (non relational database), compares the advantages and disadvantages of the relational database, and puts forward the storage strategy of map tile data based on NoSQL. The difference between the MONGO DB and SQL Serv-er 2000 in the storage and concurrent access performance of the NoSQL database products oriented to document is analyzed by experiment. The results show that the Mongo db in the mass space number ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. AC ...

It can be said that big data is one of the hottest trends in the IT industry today, and it has spawned a new batch of technologies to deal with big data. And new technologies have brought the latest buzz words: acronyms, professional terms, and product names. Even the phrase "big data" itself makes a person dizzy. When many people hear "big data", they think it means "a lot of data", and the meaning of large data does not only involve the amount of data. Here are a few popular words that we think you should be familiar with, sorted alphabetically. ACID ...

Given that cloud computing is just a conceptual dream for most of us, when someone talks about their big data strategy of "storing all the data in a cloud service," You can't clearly tell that their strategy is a visionary solution, Or simply repeating some of the experts they heard at the industry meeting. The overlap between large data and cloud computing paradigms is actually so extensive that you can claim that your organization is leveraging existing, internally deployed Hadoop, NoSQL, or enterprise-class data Warehouse environments for large cloud-based data deployments. ...

Biopo (Eric Xing) is currently Professor of computer science at Carnegie Mellon University. His main research interests focus on the development of machine learning and statistical methodology and large-scale computing systems and architectures, in the hope of solving the problem of automated learning, reasoning, and decision making in a potential world of high dimensional, multiple peaks and dynamics in complex systems. Biopo has a Ph. D. In molecular biology from the University of Rochester and a PhD in computer science from the University of California, Berkeley. In December 2014 12-14th Beijing held the 2014 China Large Data Technology conference (Jinan second ...

Cloud services are playing an important role in large data applications, especially for short-term tasks or applications that have large amounts of data stored on the cloud. Cloud services are attractive to everyone. When someone says to you that their big data strategy is "store all the data in the cloud," you can't tell whether these people are visionary or simply repeat what the experts have suggested to them at the industry meeting. There is no doubt that there is a huge overlap between the big data and the cloud paradigm. These intersections are so broad that you can justifiably claim that you are ...

Recently, in 2011 China Software Technology Conference, Versant database technology Vice President Robert Greene received an exclusive interview with Sadie Net reporter. In the field of data management in cloud computing, the main trend in the future is the full mobility of data, Robert Greene said in an interview. At the same time, he also revealed that for domestic developers, Versant will soon launch certification training services. It is learned that the Versant database is an advanced large-scale distributed database of the next generation, widely used in a variety of large data processing. Vers ...

If all goes according to plan, Red Hat will be the first Open-source software vendor to make more than 1 billion dollars a yearly income. This will be a turning point for the open source software community. The open source community has always believed that their community-based approach to development is feasible, even superior, and alternative to traditional software development methods. ' I think we're going to see a fundamental shift in where technological innovation will take place, from the labs of several software companies to the huge open source soft ..., ' said Red Hat CEO Jim Whitehest Jim Whitehurst.

In recently held the third large data World Forum, Forrrester Cao Yuchin said in the current customer-centric era, we must pay attention to four major market points, that is, customer experience, mobile, large data and digital subversion, which data analysis is the CIO's priority to consider technical measures. Cao Yuchin showed a 2012-year follow-up report based on technical decision makers from 241 IT companies in China, when asked what technical measures will be prioritized in the next 12 months, use improved data analysis to improve business decision making in third place, high priority ...

Cloud services are playing an important role in large data applications, especially for short-term tasks or applications that have large amounts of data stored on the cloud. Cloud services are attractive to everyone. When someone says to you that their big data strategy is "store all the data in the cloud," you can't tell whether these people are visionary or simply repeat what the experts have suggested to them at the industry meeting. There is no doubt that there is a huge overlap between the big data and the cloud paradigm. These intersections are so broad that you can justifiably claim that you are ...