Relational Database

The characteristics of cloud computing applications from the previous description we can see the cloud to the application of some of the challenges, that is, how the application in the cloud environment to take advantage of some of the characteristics of the cloud platform to better meet user needs. Cloud computing applications should be able to leverage dynamically scalable resources in the cloud computing environment to build an resilient, highly available application. 　　Below we discuss the application characteristics and requirements of cloud computing environment separately. Automation Requirements Automation is a human dream, and the computer automation in the field of development has a huge impact, it greatly improve the work ...

As I mentioned in the previous article, with SQL Services as a general development of small and medium sized applications, you can forget about the existence of SQL Server 200X. Is it that amazing? 　　Now it's time to learn more about the sanctity of SQL services. In most cases, Web applications need to rely on another database server. This database service requires professional IT people to maintain. Before you deploy your application, you need to think too much: Does the data server have enough capacity? Performance How ...

Applications cannot be separated from data, and cloud computing applications are supported by data. Windows Azure Service Platform, Microsoft Cloud Computing Services platform provides storage Service--windows Azure storage to store data for cloud applications and, of course, SQL Azure to store relational data. Windows Azure Storage consists of three important parts or three storage data services: Windows ...

Absrtact: Zhou Jianfei is one of the Aliyun hundreds of thousands of customers. We met on an online event in Aliyun and learned his story after several chats. Now the entire Aliyun relational database RDS team knows that Zhou Jianfei is a die-hard customer of RDS Zhou Jianfei is one of the Aliyun hundreds of thousands of clients. We met on an online event in Aliyun and learned his story after several chats. Now the entire Aliyun relational database RDS team people all know that Zhou Jianfei is a "die-hard" customer of RDS, it took several days to put the MySQL database ...

Data is the most important asset of an enterprise. The mining of data value has always been the source of innovation of enterprise application, technology, architecture and service. After ten years of technical development, the core data processing of the enterprise is divided into two modules: the relational database (RDBMS), mainly used to solve the transaction transaction problem; Based on analytical Data Warehouse, mainly solves the problem of data integration analysis, and when it is necessary to analyze several TB or more than 10 TB data, Most enterprises use MPP database architecture. This is appropriate in the traditional field of application. But in recent years, with the internet ...

After MySQL was acquired by Oracle, the industry has never stopped talking about the Open-source database, and the voice of PostgreSQL will be replaced as the most popular Open-source database. However, from the Db-engines rankings, the gap between PostgreSQL and MySQL is far more than "a few floors" so high (Postgresq not score a fraction of MySQL). Looking at the entire list of 193 databases, we will find that the NoSQL database has accounted for most of the land, the listed traditional relational data ...

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 ...).

The document database of NoSQL database technical characteristics Today's cloud computing practitioners are not unfamiliar with the term nosql, though many technicians have long been working on relational databases, but now they are looking forward to nosql technology. The transition from relational to NoSQL databases is definitely a big change to be considered for businesses. This involves not only the changes in software, but also the conceptual changes in data storage. Most non-relational databases have fast and scalable features. By discarding relational storage models and schemas, relationships ...

Cloud computing--at least as an extension of virtualization--has become increasingly widespread. However, cloud computing does not yet support a complex enterprise environment. So the cloud computing architecture is clear, and experience suggests that before cloud computing matures, we should focus on the details of the system's cloud computing architecture. 　　Based on some existing cloud computing products analysis and personal experience, summed up a set of cloud computing architecture, cloud computing architecture can be divided into four layers. Cloud computing architecture--the display layer is primarily used to show users what they want in a friendly way, and it takes advantage of the middleware layer below ...

It is well known that cloud OS Windows Azure and Cloud Database SQL Azure play a very important architectural role in Microsoft's cloud computing strategy. Among them, Windows Azure mainly includes three parts, one is the computing service of Operation application, the other is data storage service, the third is the controller (Fabric Controller) that manages and allocates resources dynamically based on cloud platform. And the database plays an important role in the entire Microsoft cloud strategy, especially for cloud database SQL Azure. In other words, SQL ...

From 2008 only 60 people attended the technical salon to the present thousands of people technical feast, as the industry has a very practical value of the professional Exchange platform, has successfully held the seven China large Data technology conference faithfully portrayed a large data field in the technical hot spot, precipitated the industry's actual combat experience, witnessed the development and evolution of the whole large data ecological circle technology. December 12-14th, hosted by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the 2014 China Large Data Technology conference (Big&n ...

Guide: While there are security issues, Hadoop is ready for large projects deployed in large enterprises. Hadoop, the top open source project for Apache, is mainly used to analyze large datasets, which are now widely used by internet companies such as ebay, Facebook, Yahoo, AOL and Twitter. Last month Microsoft, IBM and Oracle also embraced Hadoop. More and more companies have started to grope for Hadoop technology, in order to deal with blog, click the data brought by ...

Cloud computing "turned out" so many people see it as a new technology, but in fact its prototype has been for many years, only in recent years began to make relatively rapid development. To be exact, cloud computing is the product of large-scale distributed computing technology and the evolution of its supporting business model, and its development depends on virtualization, distributed data storage, data management, programming mode, information security and other technologies, and the common development of products. In recent years, the evolution of business models such as trusteeship, post-billing and on-demand delivery has also accelerated the transition to the cloud computing market. Cloud computing not only changes the way information is provided ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. But what's the difference? Today's enterprise data warehouses and relational databases are good at dealing with ...

Large data as a concept in the IT field has been recognized by many people. As in many aspects of the IT field, new technologies were first used by large enterprises, and then in the late stages of the entire use curve, small and medium enterprises began to use it. Big data seems to have gone through the same process. As large data continues to evolve in the real world, it is gradually being applied to less large data elements. Most standards consider smaller datasets being handled by large data tools in a way that is specific to large data architectures. Still, there is a consensus that there will be more data, not less, in the future.

Information from multiple sources is growing at an incredible rate. The number of Internet users has reached 2.27 billion in 2012. Every day, Twitter generates more than TB of tweet,facebook to generate more than TB log data, and the New York Stock Exchange collects 1 TB of trading information. Approximately 30 billion radio frequency identification (RFID) tags are created every day. In addition, the annual sales of hundreds of millions of GPS equipment, is currently using more than 30 million network sensing ...

Sometimes the best way to learn about a software product is to see how it is used. It can solve what problems and how these solutions apply to large application architectures that can tell you a lot. Because HBase has a lot of open product deployments, we can do just that. 　　This section describes in detail some of the scenarios in which people successfully use HBase. Note: Do not limit yourself to the belief that hbase can only solve these usage scenarios. It is a nascent technology, and innovation based on the use of the scene is driving the development of the system. If you have new ideas, think you can benefit from HBAs ...

The Apache hive is a Hadoop based tool that specializes in analyzing large, unstructured datasets using class-SQL syntax to help existing business intelligence and Business Analytics researchers access Hadoop content. 　　As an open source project developed by the Facebook engineers and recognized and contributed by the Apache Foundation, Hive has now gained a leading position in the field of large data analysis in the business environment. Like other components of the Hadoop ecosystem, hive ...

Datax is a tool for high-speed data exchange between heterogeneous database/file systems, which implements the http://www.aliyun.com/zixun/aggregation/34332.html "> processing system in arbitrary data" (rdbms/ Hdfs/local filesystem data Exchange, by the Taobao data Platform department completed. Sqoop is a tool used to transfer data from Hadoop and relational databases to one another ...

Now Apache Hadoop has become the driving force behind the development of the big data industry. 　　Techniques such as hive and pig are often mentioned, but they all have functions and why they need strange names (such as Oozie,zookeeper, Flume). Hadoop has brought in cheap processing of large data (large data volumes are usually 10-100GB or more, with a variety of data types, including structured, unstructured, etc.) capabilities. 　　But what's the difference? Enterprise Data Warehouse and relational number today ...