Best Database Software 2017

Here to find year-end inventory counts 2017 top 20 hot topics in Yunqi Community (with 100+ topic list)

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.

With the rapid development of mobile Internet, e-commerce and social media, the amount of data that enterprises need to face is exponential growth. IDC Asia-Pacific (excluding Japan) The latest market research on large data and analysis (BDA) shows that the market for large data technology and services will increase from $548 million trillion in 2012 to $2.38 billion in 2017, with a composite growth rate of 34.1% over the next 5 years. 　　The market covers storage, servers, networks, software, and services. According to IDC "Digital Universe" (Digital Univ ...

Construction of enterprise security building open source SIEM platform. SIEM (security information and event management), as its name implies, is a management system for security information and events. It is not a cheap security system for most enterprises. This article uses the author's experience to introduce how to use open source software to analyze data offline and use attack modeling Way to identify attacks. Review the system architecture to the database, for example, through logstash to collect mysql query log, near real-time backup ...

Today, some of the most successful companies gain a strong business advantage by capturing, analyzing, and leveraging a large variety of "big data" that is fast moving. This article describes three usage models that can help you implement a flexible, efficient, large data infrastructure to gain a competitive advantage in your business. This article also describes Intel's many innovations in chips, systems, and software to help you deploy these and other large data solutions with optimal performance, cost, and energy efficiency. Big Data opportunities People often compare big data to tsunamis. Currently, the global 5 billion mobile phone users and nearly 1 billion of Facebo ...

Foreign media recently published an article that 37 years, Ellison (Larry Ellison) is called the Enterprise Reengineering Master, lead Oracle to walk through a technical change. But now, the global database giant he created is facing unprecedented challenges, and Mr. Ellison's outgoing CEO will only exacerbate the central question about the company's future: Can Oracle overcome the structural shift in the industry that has reshaped markets in recent years? Ellison was handed over to two co-CEO Hurd (Mark Hurd) and Savera Car ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Big data has grown rapidly in all walks of life, and many organizations have been forced to look for new and creative ways to manage and control such a large amount of data, not only to manage and control data, but to analyze and tap the value to facilitate business development. Looking at big data, there have been a lot of disruptive technologies in the past few years, such as Hadoop, Mongdb, Spark, Impala, etc., and understanding these cutting-edge technologies will also help you better grasp the trend of large data development. It is true that in order to understand something, one must first understand the person concerned with the thing. So, ...

Blockchain technology requires the support and participation of traditional technology companies, both in terms of capital and final technology promotion and implementation, due to the deep-rooted thinking and business model of traditional technology enterprises.

Five years after the birth of Bitcoin, its underlying blockchain technology began to become a new hot spot for investment in high-tech companies, multinational financial institutions and venture capital funds, from the experiments of niche liberal cryptographers and computer hackers.