Nosql

Today's industry has a lot of nosql products, but now the industry also lacks a very simple architecture, and can adapt to a variety of cloud computing scenarios of the NoSQL database, and the emergence of yuntable fill the gap. Yuntable is not a database like bigtable all-inclusive, but mainly a compact distributed Key-value database, the upper cloud application will be yuntable or modified according to its own needs, so that the yuntable is easy to use, Applicable to a variety of cloud computing field ...

Whether you're using relational database systems, hash tables, or other structures to maintain your data, you must have heard about NoSQL and big data. At present, companies such as Google, Yahoo and Amazon are already developing or using large data/nosql solutions. But apart from some very specific cases, are these big data implementations really that useful? In a recent article, Capgemini consulting company Steve even pointed out that sometimes large data may be a big scam, or at least not fully become a panacea, can solve the original relationship ...

With the development of the Internet, mobile Internet and IoT, no one can deny that we have actually ushered in a massive data era, data research company IDC expects 2011 total data will reach 1.8 trillion GB, the analysis of these massive data has become a very important and urgent demand. As an Internet data analysis company, we are "revolt" in the field of analysis of massive data. Over the years, with stringent business requirements and data pressures, we've tried almost every possible big data analysis method, and finally landed on the Hadoop platform ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."

Research and application of cloud data management technology based on MongoDB Beijing Jiaotong University Liu Yimeng introduced the concept, characteristics and theoretical basis of nosql system in cloud computing environment, analyzed the design principle and characteristics of the mainstream NoSQL system, and NoSQL system and traditional relational database in data mode, system architecture, Read-write characteristics, scalability and other aspects of the detailed analysis and comparison. Through analysis and comparison, it is concluded that the NoSQL system is superior to the traditional relational database for the storage and processing of massive data in cloud computing environment. But ...

Abstract: What big data brings new opportunities for entrepreneurs? An entrepreneurial team composed of former IBM North American lab staff is giving an answer. Startups have just won a large Minsheng Bank cooperation list through the model innovation based on big data business. This company is what big data brings to entrepreneurs New opportunity? An entrepreneurial team composed of former IBM North American lab staff is giving an answer. Startups have just won a large Minsheng Bank partnership via a model innovation based on big data business. The company is Sequoia Software. Wang Tao, CTO of the company said that ...

Guide: As we all know, the big data wave is gradually sweeping all over the world. And Hadoop is the source of the Storm's power. Microsoft is an unprecedented partner with the Apache Hadoop community. Microsoft's move is to build a Microsoft-branded Hadoop biosphere, leveraging its own advantages in the software world. Today, Microsoft has put Hadoop at the heart of its big data strategy. The reason for Microsoft's move is to have a fancy for had ...

It is easy to compare the cost of cloud computing vendors, but it is not easy to compare the performance of the application. A performance comparison of the different types of database applications running in the same cloud or across different cloud computing environments will be a particularly challenging task. The Yahoo Cloud computing Service Benchmark (YCSB) is a test framework designed to help users understand the performance of different cloud computing databases and store data performance under actual load. The source code for this test framework is available from the GitHub download. Yahoo cloud services benchmark tools include ...

As the amount of data contained in business transactions continues to increase, service providers are looking for ways to make data management for the public cloud easier. Big data is becoming more and more important, and cloud service providers want to get involved in the Enterprise database field. Research institute IDC predicts that large data will increase at a rate of 60% a year, with structured and unstructured data. Enterprises need to find ways to play the role of these data, and for a long time the database is a very good solution. Today, service providers are using cloud technology to introduce more ways to host these databases in a public cloud, from cumbersome ...

At the moment, "big data" has become one of the hottest technical terms of the 2013, and in the past year, the growth and change of the market is not insignificant. At the same time, we have seen a change in the use of Hadoop and its ecosystem from top technical talent to data scientists. More and more enterprises embrace large data technology and apply it to production environment. So what will happen to the trend of big data in the 2014, and here's a look at 12 predictions from CIOs: 1. People stop talking about big data for 2014, and big data stops saying ...

The fastest way to store a computer system is the ram traditionally used primarily as memory. As the access performance of the hard drive has deteriorated over the years, and the cost of RAM has been decreasing, many researchers have been exploring how to replace the hard disk with memory in recent years. As early as the 1980, David DeWitt and Garcia-molina and so on published a main memory database paper. Steven Robbins's article points out that the Turing Prize winner, Jim Gray, is more explicit about the idea that "memory will be a hard drive and the hard drive will become a tape."

Now everyone is talking about big data, but in fact, much of the talk is too exaggerated. Employment data show that large numbers seem to be needed by corporate recruiters. However, more data suggest that companies do not know what to do with these big data professionals. However, more important than large data itself is the analysis and management of large data. This trend is allowing server Automation configuration system tools to emerge in large numbers. Puppet is the power behind the "DevOps" trend. As dice.com data shows, Puppet is a tidal wave ...

30 years of database development and formation of Oracle, IBM, Microsoft and other representative of the strong monopoly pattern, making the traditional domestic database not only untimely, coupled with the technology to follow the strategy, in the field of business processing tenacious fight, although the product continues to progress, market applications have also been to achieve a single point of breakthrough, But mostly in non-core applications. Despite the government's continued strong support, but in the monopoly barriers and open source software around the attack, in addition to the policy market, it is difficult to achieve a large-scale breakthrough, has not yet formed a benign cycle of enterprise development and government support for a mutually beneficial situation. ...

It's really tempting to get business on big Data technology, and Apache Hadoop makes the temptation more violent. Hadoop is a large scale scalable data storage platform that forms the foundation of most large data projects. Hadoop is powerful, but it requires the company to invest a lot of learning energy and other resources. If you get the right application, Hadoop can actually improve your company's business, but the application of this hadoop is fraught with thorns. On the other side, many businesses (not Google, of course) ...

The biggest difference between cloud-based applications and applications running in private data centers is scalability. The cloud provides the ability to scale on demand, extending and shrinking applications based on fluctuations in load. But the traditional application to give full play to the advantages of the cloud, not simply to deploy the application to the cloud is all right, but need to be based on the characteristics of the cloud around scalability to redesign the architecture, Recently AppDynamics's development preacher Dustin.whittle wrote about the application architecture suitable for cloud deployment, which has great inspiration for our traditional application to cloud deployment.

What new opportunities do big data bring to entrepreneurs? An entrepreneurial team of former IBM North American Laboratories is giving the answer, and startups have just won a big deal with CMBC through a model innovation based on large data business, the company is the giant FIR software. 　　Wang Tao, CTO of the company, said the emergence of a large data concept had changed the entire it community, creating opportunities for entrepreneurs to innovate on big data businesses. The database has been going on for decades from birth to the present, but the development of information management has never stalled. Open the network before the relational database ...

IaaS through this mode of IaaS, the user can get the computing or storage resources he needs from the vendor to load the relevant applications and only pay for the portion of the resources that they lease, and these cumbersome management tasks are assigned to the IaaS vendor. 1. History and SaaS, like the idea of IaaS has been in fact for a long time, such as the past IDC (Internet Data Center, Internet Datacenter) and VPS (Vi ...).

Big data may be the most hot word in the tech world and VC circles. It seems that internet companies, even traditional industry companies, that don't have much of a big data connection have no future. is a hot word, there must be a bubble. Under the bubble, some companies that are really creating and digging into big data values, especially startups, are not known. There are companies that may still be in stealth mode, and they are now busy finishing the final finishing touches that will make it possible to change the rules of the game. Many of these big data startups ' teams come from Google ...

The latest survey shows that 3 large data technology Hadoop, DA data, NoSQL occupy the technical field of the highest pay 3 jobs.   　　Apple and other related technologies are followed, and Java, C, C + + and other mainstream technology areas of the rankings are not ideal. Perhaps some companies have yet to really understand the value of large data, but they do not affect their huge investment in big data skills like Hadoop and NoSQL. Through a 2013 Dice Tech Salary Survey Understand ...

EMC appears to be a silent investor in MongoDB. 　　This investment not only allows EMC to enter the field of database technology to handle large data, but also provides a way to significantly improve the performance of its RSA security and Isilon storage technologies. MongoDB said in Friday that it had completed a round of financing of 150 million dollars. This is the largest single financing for any database manufacturer, NoSQL, or other company. 　　The total investment that this round of financing brings to the company is 207 million dollars. New Investor Altimeter ...