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Alipay supports the technical realization of the peak of database request for double eleven 42 million times / sec

After more than eight years of practice, from Taobao's collection business to today to support all of Alipay's core business, and in the annual "Double Eleven Singles Day" continue to create a world record for the transaction database peak processing capacity.

Microsoft New Generation database platform Showdown Big Data age

2012 is called the year of large data, more and more enterprises into the embrace of large data, the relevant manufacturers are also constantly introducing new products. According to the initial budget of the domestic relevant institutions, the future of China's large data potential market size is expected to reach nearly 2 trillion yuan. The IDC report also notes that the total amount of data created and replicated around the world in 2011 amounted to 1.8ZB, not only on the scale of the amount of data available in the physical universe known to humans, but also on the global amount of information every two years. This means that the opportunity for big data is already in the market. In order to grasp the market opportunity of big data, ...

Piecewise relational database in cloud computing

Social media, E-commerce, mobile communications, and machine-machine data exchange make terabytes or even petabytes of data that the enterprise IT department must store and process.   Mastering fragmentation best practices is a very important step in the cloud planning process when users process data for cloud computing databases. Fragmentation is the process of splitting a table into a manageable size disk file. Some highly resilient key-value data stores, such as Amazon simple DB, Google App engine ...

Some principles needing attention in design of large database

A good database product is not equal to have a good application system, if can not design a reasonable database model, not only will increase the client and Server section program programming and maintenance of the difficulty, and will affect the actual performance of the system. Generally speaking, in an MIS system analysis, design, test and trial run stage, because the data quantity is small, designers and testers often only notice the realization of the function, but it is difficult to notice the weak performance, until the system put into actual operation for some time, only to find that the performance of the system is decreasing, At this point to consider improving the performance of the system will cost more ...

Website migration of those things

Intermediary trading SEO diagnosis Taobao customer hosting technology hall I have a website for the old server out of the question, you need to migrate to a new server, the whole process can be described as twists and turns, then how to avoid walking on the pit, I share through some of their own experience For everyone, I hope everyone can be resolved on similar issues and take detours. First, the choice of space Business prophase preparation Western digital virtual space, upload code and database Spend a lot of time and found that the limited number of binding domain name, and the domain name can not be mapped to the specified directory, the data synchronization in this one ...

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Chen: Spark this year, from open source to hot

The Big data field of the 2014, Apache Spark (hereinafter referred to as Spark) is undoubtedly the most attention. Spark, from the hand of the family of Berkeley Amplab, at present by the commercial company Databricks escort. Spark has become one of ASF's most active projects since March 2014, and has received extensive support in the industry-the spark 1.2 release in December 2014 contains more than 1000 contributor contributions from 172-bit TLP ...

The confusion of big data

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 ...

Cloud practice and large data outlook

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

2013 Bossie Selection: Best Open source Large data tool

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 ...

Cloud Computing Guide: Management, architecture, security, networking, and services

One, the charm of the management of cloud computing is that users can start using their ID card and credit card, but that's the problem. Such a simple service is bound to bring many challenges to the unprepared IT department.   We've been through this many times before: the benefits of a technology that are easy to use end up being an unexpected management challenge, such as virtualization, which causes virtual machines to become fragmented, new security risks to smartphones, and instant messaging that triggers corporate governance problems. This article is intended to show IT managers how to maximize cloud computing ...

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