Database Centric Architecture

Customers call every day to modify product features, a simple requirement may be done for one months. The more bulky the product, the more and more bugs to catch the time limit. Headache！ Products from the primary version to now four years, the relevant programmers come and go for three batches, patching on the patch is often the case, a lot of functions just opened a head, another project manager is forgotten. We are always afraid of customers in this product to put forward new requirements, as long as customers still use the past, can not change it. The limitations of these rigid codes can be tolerated even if they are not changed. Yesterday just on the function ...

Codename:bluemix is a beta-grade product that will continue to improve as we continue to make functions more complete and more accessible. We will do our best to keep this article up to date, but it is not always in full progress. Thank you for your understanding. The consumer banking industry is changing the direction of its business model from a product-centric island to a customer-centric strategy. The banking system must be a highly resilient platform to take advantage of the ability of consumers to access their accounts and execute transactions through a variety of channels, including mobile devices. Financial institutions in their old data center environment ...

Amazon lead the cloud market Microsoft play affinity card This week for Amazon, it should be "a year of mixed feelings." First of all, AWS's first market training event in China kicked off in Beijing. Nearly 400 participants from all over the country gathered for the venue to open the "AWS China" sign. The second happy event for AWS is that the latest Public Cloud survey from RightScale research shows that AWS has a 54% surveyor usage rate, far behind Rac ...

Those who recommend putting everything in the Hadoop database clearly forget some of the bitter lessons that have occurred in the history of the database. Although there is a proverb called "Elephants will never forget", I still doubt the meaning of this proverb. I know a special kind of elephant--their name is Hadoop, and these elephants don't seem to remember that they are http://www.aliyun.com/zixun/aggregation/8302.html to enterprise class.

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 ...

The development of the Internet today is not the era of fish, but the time of fast fish eating slow fish. The winning principle of Internet products is a word-"fast". In various forms of product development, we always implement one of the values is "fast", how should we understand and interpret "fast"? What are the ways to implement this principle? First, rapid iteration, quick to do the Internet product is different from the traditional software development, we are faced with hundreds of millions of users such a huge user group, who they are, what preferences, what kind of habits, how to use our products, ...

In the previous article, we have scanned the recognition and attention of large data based on China's different regions and industries, and seen the acceptance and development potential of the x86 architecture as a large data base platform, in combination with the ZDNet launch of China's large data recognition and application market research. This article will be based on the previous article, combined with database application and related technologies to interpret the research report, and summed up several major findings and conclusions. The data of large data analysis and storage require vigorous research, in addition to the recognition that large data has large capacity, production ...

First, the initial understanding of large data seems to be overnight, big data becomes one of the most fashionable words in the IT industry. First of all, big data is not a completely new thing, Google's search service is a typical large data use, according to customer demand, Google real-time from the global mass of digital assets (or digital garbage) ...

In the current internet age, is not the era of fish, but fast fish eat slow fish era. Just as the famous "World martial arts, only fast not broken", the Internet product winning principle is a fast word. 　　In the various forms of product development, we always implement one of the values is "fast", how should we understand and interpret "fast"? What are the ways to implement this principle? Fast iterations, fast-acting Internet products are different from traditional software development, we are faced with hundreds of millions of users such a huge user group ...

Today, the rapid development of the Internet industry, now is not the era of fish, but fast fish eat slow fish era. The winning principle of Internet products is a word-"fast". 　　In the various forms of product development, we always implement one of the values is "fast", how should we understand and interpret "fast"? What are the ways to implement this principle? Let's share my experience. Fast iterations, fast-acting Internet products are different from traditional software development, we are faced with hundreds of millions of users such a huge user group, who they are ...