Geo Distributed Database

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MongoDB v1.8 publishes a database based on distributed file storage

MongoDB is a database based on distributed file storage. Written by the C + + language. Designed to provide scalable, high-performance data storage solutions for Web applications. Products between relational and non relational databases are among the most functionally rich and most like relational databases in relational databases. The data structure he supports is very loose and is a JSON-like Bjson format, so you can store more complex data types. MONGO the most characteristic is that he supports the query language is very powerful, its syntax is somewhat similar to the object-oriented query language, can almost actually ...

Big Data Hot Word report

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 ...

Big Data Hot Word report

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 ...

Trends in large data-processing technology-introduction of five open source technologies

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

"Big Data"--for the tourism industry can be unlimited

Reading: The ability of large data technology to discover patterns in large amounts of data clearly offers a lot of opportunities for tourism, where companies with large data projects can sell tourism products to consumers in a new way. If you are a loyal reader of Tnooz, you must have read about the potential of big data. But like most emerging technologies, people are confused about what it really means, can it bring a better customer experience and boost sales? This article is just a tip, analysis of the future of large data in the tourism industry some potential applications ...

How to apply large data in power industry

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

Analysis of Business intelligence platform technology in the new era of large data (Bigdata)

Facebook has announced that its users are now over 750 million and that the number of shares per day has reached 4 billion. IDC predicts that from 2009 to 2020, the total amount of data will increase 44 times times to 35ZB (Zettabyte), and that 80% of the data is unstructured data. Bigdata is also a concept without a normative definition, and different applications have different interpretations of large data. Whether big data has opened a new era, it may be premature to draw a conclusion, but it has a huge impact ...

How to apply large data in power industry

Large data is not a patent in the ICT industry. At present, the financial, radio and television and other traditional industries are actively using the power of large data to help enterprises to achieve transformation. In the power industry, large data has been regarded as an important issue at the strategic level of the enterprise: The State Grid has set up three large data centers in Beijing, Shanghai and Shaanxi, of which more than 10,200 sensors have been installed in the large data center of Beijing, which can save a value of about 300,000 yuan per month. So how does the power industry apply big data? In the face of the challenges of the power industry, what are the common features of telecommunications and what are the opportunities for telecommunications? Electricity ...

Occupy the middle reaches the commanding point the Super graph software plunges into the downstream market

How big is the geographic information industry? How is the value chain of the entire industry distributed? What is the layout of the hyper-graph software?  When the National Survey and Mapping Geographic Information Bureau announced the state 1:50,000 basic geo-Information Database update project completed, the reporter yesterday Wired software company Dong-Yu Yaje, on the above issues in-depth exchanges. According to Yu Yaje, the whole geographical information industry can be divided according to the upper and lower reaches of the middle and downstream, mainly the acquisition of digital information, including basic geographic information data collection, commercial satellite remote sensing image, navigation, electronic map data. "China's digital information ...

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