Nosql

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

The five major database models, whether relational or non relational, are the realization of some data model. This article will give you a brief introduction of 5 common data models, so that we can trace back to the mysterious world behind the current popular database solutions. 1. The relational model relational model uses records (composed of tuples) for storage, records stored in tables, and tables are defined by the schema. Each column in the table has a name and a type, and all records in the table conform to the table definition. SQL is a specialized query language that provides the appropriate syntax for finding records that meet the criteria, such as ...

Will large data policies fail? It's time to discuss the problem. Enterprises have just mastered how to integrate ERP (Enterprise resource planning) and other business applications to eliminate the obstacles to efficiency in the business process. Service-oriented architecture, software-services, cloud computing and other modern solutions have played a role in helping enterprises achieve large-scale application integration. But today, organizations are facing a new set of challenges in a large number of data environments. More clearly, it is not a data stream. It is made up of a number of independent data streams, separating the data from each other or just like the previous enterprise application ...

TA (Tencent Analytics), a free website analysis system for third-party webmasters, is highly praised by webmasters for data stability and timeliness, and its second-level real-time data update frequency is also recognized by the industry. This article will take you in-depth exploration of TA system architecture and implementation principles from many aspects of real-time data processing, data storage and so on. Web Analytics (Web Analytics) mainly refers to the site-based ...

My Chinese name is Yu Zhihong. In the HBase community, more people know about Ted Yu. has been a member of the HBase PMC since June 2011. At the HBTC 2012 conference, I was pleasantly surprised by the wide adoption of hbase in China. Famous companies such as Taobao, Huawei, Intel and IBM all recognise HBase. HBase has become a de facto nosql solution in the United States, a trend that is more pronounced in China. I am delighted to see the company's contribution to HBase. In the introduction NoSQL ...

Open source projects because of its openness, free, free and flexible characteristics of the majority of developers love. In recent years, a lot of open source free things are popular. While cloud computing is the hottest technology term in recent time, cloud computing + open source is not a new event, now, there are more and more open source projects for the cloud, the overall development of cloud computing plays a vital role. Now let's take a look at the most popular 10 open source projects related to the cloud. 1. Open Source PAAs platform: Cloud Foundry and OpenShift Clo ...

At present, large data analysis is a very popular industry, one night, it seems that the company's data has been invaluable. Enterprises are beginning to try to use large data to enhance their business competitiveness, but for large data analysis industry, is still at the beginning of rapid development, this is a rapid development of the field, every moment of the new changes. Recently we have looked at 8 trends in the future of the big data industry. 1. Large Cloud based data analysis Hadoop is a framework and a set of tools for handling large datasets, originally designed to work on a cluster of physical machines ...

Big data is the most hot technical vocabulary of the 2013, and the year's big data market is growing fast, and more and more companies are embracing big data solutions, and as the ecosystem matures, Hadoop is no longer a toy for talented technicians, It is a powerful "mine machine" that data scientists and business people tap into the business value of data. If the 2013 is just a big data market warm-up and qualifying, then the 2014 Big data market will usher in the World Cup feast, recently CIO magazine gave a 2014-year Big Data Market forecast, the IT Manager network compiled ...

Will large data policies fail? It's time to discuss the problem. Enterprises have just mastered how to integrate ERP (Enterprise resource planning) and other business applications to eliminate the obstacles to efficiency in the business process. Service-oriented architecture, software-services, cloud computing and other modern solutions have played a role in helping enterprises achieve large-scale application integration. But today, organizations are facing a new set of challenges in a large number of data environments. More clearly, it is not a data stream. It is made up of a number of independent data streams, separating the data from each other or just like the previous enterprise application ...

This week, splice machine, a big data start-up, completed a 4 million dollar a round of funding to build a SQL database on the Open-source Hadoop Distributed File System, MONGOHQ $6 million in investment to develop its developer-oriented database services BloomReach received 25 million dollars in investment to further expand the application of large data marketing. The recent developments in these three companies have amply demonstrated why investors are pouring money into big data start-ups because of the increasing use of large data ...

When 2010 is about to end, the new private and hybrid cloud systems are considered by everyone as the way forward. Now, as time flies, 2011 is over, and many of the past predictions have come true. 2011 can be said to be a veritable "cloud computing" year. In the past year, thousands of cloud architectures began to be built and deployed, and are widely used in a variety of industries. More and more IT vendors at one point has maintained a consistent idea that they all believe that the next year, cloud computing IT equipment procurement song ...

It has been almost 2 years since the big data was exposed and the customers outside the Internet were talking about big data. It's time to sort out some of the feelings and share some of the puzzles that I've seen in the domestic big data application. Clouds and large data should be the hottest two topics in the IT fry in recent years. In my opinion, the difference between the two is that the cloud is to make a new bottle, to fill the old wine, the big data is to find the right bottle, brew new wine. The cloud is, in the final analysis, a fundamental architectural revolution. The original use of the physical server, in the cloud into a variety of virtual servers in the form of delivery, thus computing, storage, network resources ...

The development of data storage technology in large data age Dalian City College Yang Junsheng data storage technology experienced from manual management to file management, and then to the database management system three stages, database technology in the relational database occupies a major position. The rise of the internet, prompting user data explosion, large data era has come, the storage media capacity and data retrieval speed have put forward higher requirements, traditional relational database is not competent for this role, NoSQL database gradually rise. On the basis of introducing the concept of large data, this paper analyzes the advantages and disadvantages of relational database,...

The author is the broad application prospect of Soath, vice president of Oracle Company and technical general manager of Greater China. Corporate CEOs and CIOs talk about big data when they talk about business strategy and it model innovation. Gartner releases "Big Data drives Rapid Changes in infrastructure and $232 billion in IT spending 2016" ("rapid change in the large database-driven infrastructure ...").

Set "Hadoop China cloud Computing Conference" and "CSDN large data Technology conference" The essence of the great, successive Chinese large Data technology conference (BDTC) has developed into the domestic de facto industry's top technology event. From the 2008 60-man Hadoop salon to the present thousands of-person technical feast, as the industry has a very real value of the professional Exchange platform, each session of China's large data technology conference faithfully portrayed in the field of large data technology, sedimentation of the industry experience, witnessed the whole large data eco-circle technology development and evolution. December 2014 1 ...

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. Put aside relational database before the network and level ...

The concept of "big data" is not new. The age of the big data has come, but not everyone is accepting its baptism. 　　More precisely, what we now call "big data" it's what the internet bosses of Silicon Valley did a few years ago, and it's a new and interesting thing to think about today, because the technology that drives big data now is completely open source and popular with most companies and companies. In conversations with many of Europe's traditional businesses, we can be more aware that large data can be used in addition to developing applications in non-Silicon Valley ...

Red Hat JBoss Data grid version 6 better management Big Data release time: 2012.06.29 14:20 Source: Sadie Network Author: Sadie Network "Sadie Network" recently, Red Hat announced the memory data grid solution Red Hat JBoss Data grid 6 version of the official listing. Red Hat JBoss data grid 6 specifically designed several of the latest features to help enterprise users reduce the need for relational databases, let the application software research ...

Big data is the most hot technical vocabulary of the 2013, and the year's big data market is growing fast, and more and more companies are embracing big data solutions, and as the ecosystem matures, Hadoop is no longer a toy for talented technicians, 　　It is a powerful "mine machine" that data scientists and business people tap into the business value of data. If the 2013 is just a big data market warm-up and qualifying, then the 2014 Big data market will usher in the World Cup feast, recently CIO magazine gave 2014 Big data Market forecast, it ...