Relational Database Training

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.

Over the past few years, NoSQL database with its easy to expand, high-performance, high availability, data model flexibility and other features attracted a large number of emerging internet companies, including the domestic Taobao, Sina, Jingdong Mall, 360, Sogou, etc. have been in the local attempt to NoSQL solutions. Guangzhou giant FIR Database is a focus on the new NoSQL distributed database research and development of the start-up company, has now won the first round of angel investment, the core product is sequoiadb. The founding team members of the giant FIR database are from IBM North America Laboratories, and have long been engaged in the relational database D ...

Naresh Kumar is a software engineer and enthusiastic blogger, passionate and interested in programming and new things. 　　Recently, Naresh wrote a blog, the open source world's two most common database MySQL and PostgreSQL characteristics of the detailed analysis and comparison. If you're going to choose a free, open source database for your project, you may be hesitant between MySQL and PostgreSQL. MySQL and PostgreSQL are free, open source, powerful, and feature-rich databases ...

So far, it's time to stop hype about the lack of big data talent and start training and recruiting programs. Experts are trained and not born. One question you need to answer is whether you need technical expertise or data expertise. Expertise allows SQL databases or Hadoop clusters to be used. Data expertise allows us to leverage data mining, text mining, forecasting and machine learning techniques. Either way, we should first of all assume that cultivating talent from existing staff is the most important ...

There are many methods for processing and analyzing large data in the new methods of data processing and analysis, but most of them have some common characteristics. 　　That is, they use the advantages of hardware, using extended, parallel processing technology, the use of non-relational data storage to deal with unstructured and semi-structured data, and the use of advanced analysis and data visualization technology for large data to convey insights to end users. 　　Wikibon has identified three large data methods that will change the business analysis and data management markets. Hadoop Hadoop is a massive distribution of processing, storing, and analyzing ...

Liang: Good afternoon, I am the Super Cloud Product manager Leung Yiu-chung, thank you just now my two leaders to do a more wonderful speech, more vivid, give me half an hour to introduce you to the Yun Hui. Before I introduce this product or solution to you, I would first explain to you our company's corresponding concept of large data and large data corresponding solutions in our company. We have three questions to solve for big data or three questions to ask the customer, there are three. The first one, the customer's actual demand is what he is now in the big ...

Recently, in 2011 China Software Technology Conference, Versant database technology Vice President Robert Greene received an exclusive interview with Sadie Net reporter. In the field of data management in cloud computing, the main trend in the future is the full mobility of data, Robert Greene said in an interview. At the same time, he also revealed that for domestic developers, Versant will soon launch certification training services. It is learned that the Versant database is an advanced large-scale distributed database of the next generation, widely used in a variety of large data processing. Vers ...

Today, "Bigdata" (large data) the advent of the era has been no doubt, especially in the telecommunications, financial and other industries, almost to the "data is the business itself". One of the more important trends in this is the socialization of data (socialization of 挟裹). From the blog forum to the gaming community to the microblog, from the Internet to the mobile internet to the IoT, the real-time networking of human beings and various physical entities has been and will continue to produce incalculable data. For the enterprises that always focus on the market, they ...

We should stop trumpeting the gap between big data technicians and start talking about training and recruiting programs. Experts are trained, not born. One question you need to answer is whether you need technical expertise or data expertise. Technical expertise allows SQL databases or Hadoop clusters to be put into use. The expertise of data enables us to use data mining, text mining, forecasting, and machine learning techniques. Either way, we should first assume that nurturing talent from existing employees is the most important and the best choice. 2012 Large Number ...

When it comes to big data, a lot of people are starting to focus on big data and Hadoop and data mining and data visualization, and I'm starting a business, and I've got a lot of questions about the companies and individuals that have come across a lot of traditional data industries to transition to Hadoop, and most of them are similar. 　　 　　So I want to sort out some of the issues that may be of concern to many people. 　　What about the Hadoop version? So far, as a half foot forward to the Hadoop gate, I suggest that you choose the Hadoop 1.x. Many people may say, Had ...