Nosql Design Patterns

With regard to NoSQL and SQL, it is well known that NoSQL only allows data to be accessed in restricted predefined modes. For example, DHT (Distributed Hash Table) is accessed through the Hashtable API. Other NoSQL data service access modes are also restricted. Scalability and performance structures are therefore predictable and reliable. In SQL, access patterns are not known beforehand, SQL is a common language that allows data to be accessed in a variety of ways, and programmers have limited control over the execution capabilities of SQL statements. In other words, in s ...

What is the real difference between NoSQL and SQL? Essentially, because different access patterns lead to differences in NoSQL and SQL scalability and performance. NoSQL only allows data to be accessed in restricted predefined modes. For example, DHT (Distributed Hash Table) is accessed through the Hashtable API. Other NoSQL data service access modes are also restricted. Scalability and performance structures are therefore predictable and reliable. In SQL, access patterns are not known beforehand, and SQL is a ...

It was easy to choose a database two or three years ago. Well-funded companies will choose Oracle databases, and companies that use Microsoft products are usually SQL Server, while budget-less companies will choose MySQL. Now, however, the situation is much different. In the last two or three years, many companies have launched their own Open-source projects to store information. In many cases, these projects discard traditional relational database guidelines. Many people refer to these items as NoSQL, the abbreviation for "not only SQL." Although some NoSQL number ...

Within a few years, the NoSQL database has focused attention on performance, scalability, flexible patterns, and analytical capabilities. 　　Although relational databases are still a good choice for some use cases, like structural data and applications that require acid transactions, NoSQL is more advantageous in the following use cases: The data stored is essentially semi-structured or loosely-structured. 　　Requires a certain level of performance and scalability. 　　The application to access the data is consistent with the final consistency. Non-relational databases typically support the following features: Flexible ...

Next, Wang Shupeng, associate researcher of Institute of Information Engineering, Chinese Academy of Sciences, shared the development and use of new NoSQL large data management systems (BDMS). Wang Shupeng said most of the projects he contacted were non-Internet applications, such as security and transportation. 　　These industries are now faced with big data, but many popular NoSQL databases do not apply to them, so they independently developed a NoSQL database management system. The design of the target system is highly scalable: it can be achieved by increasing the linear branch of the node ...

As two of the most popular technologies in the field of information management, the hardware architecture of database integration machine and large data technology is basically the same, but the software system has the essential difference, which leads to the different characteristic performance. With the rapid growth of enterprise data and the continuous improvement of users ' requirements for service level, the traditional relational database technology has shown obvious lack of ability in production practice for a long time. How to obtain high availability of massive data at reasonable cost has become a major challenge in modern it field. In order to meet this challenge, in recent years, it market ...

This article will go beyond the well-known details and explore the less obvious details related to Cassandra. You will examine the Cassandra http://www.aliyun.com/zixun/aggregation/14208.html "> Data model, storage mode design, architecture, and potential surprises associated with Cassandra." In the database history article "What Goes Around comes Around", Mi ...

The appearance of MapReduce is to break through the limitations of the database. Tools such as Giraph, Hama and Impala are designed to break through the limits of MapReduce. 　　While the operation of the above scenarios is based on Hadoop, graphics, documents, columns, and other NoSQL databases are also an integral part of large data. 　　Which large data tool meets your needs? The problem is really not easy to answer in the context of the rapid growth in the number of solutions available today. Apache Hado ...

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."

The cloud computing concept originated in super large-scale internet companies such as Google and Amazon, and with the success of these companies, cloud computing, as its supporting technology, has been highly recognized and widely disseminated by the industry. Today, cloud computing has been widely regarded as the new phase of IT industry development, which has been endowed with a lot of industry and product level significance. Because of the multiplicity of meanings, various concepts are complex, many companies and practitioners have their own cloud, as Xu Zhimo in the "accidental" a poem said: "I am a cloud in the sky, and occasionally projected in your wave heart." Traditional ...