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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 ...

Have you ever heard such a statement? An IT senior manager talking about the application infrastructure of the organization. He is optimistic about the "modern" aspects of the Environment: multi-tier client-server systems, WEB-oriented development using languages such as PERL, Python, and Ruby, and service-oriented architectures. If you ask the IT senior manager about the IBM System z Server They are using, the answer may well be dismissive: "Oh, that's our legacy system." The word "Left" listens ...

There are often misconceptions about the relationship between big data and cloud computing. 　　And they will be mixed up to say, do one sentence of a straightforward explanation is: cloud computing is the virtualization of hardware resources, large data is the efficient processing of massive data. Although the above sentence explanation is not very appropriate, but can help you to understand the difference between the two. In addition, if you do a more vivid explanation, cloud computing is equivalent to our computer and operating system, will be a lot of hardware resources virtualization after the allocation of use, in the field of cloud computing is now the boss of Amazon, can ...

The large data in the wall are registered as dead data. Large data requires open innovation, from data openness, sharing and trading, to the opening of the value extraction ability, then to the foundation processing and analysis of the open platform, so that the data as the blood in the body of the data society long flow, moisture data economy, so that more long tail enterprises and data thinking innovators have a colorful chemical role, 　　To create a golden age of big data. My large data research trajectory I have been 4-5 years of mobile architecture and Java Virtual Machine, 4-5 years of nuclear architecture and parallel programming system, the last 4-5 years also in pursuit ...

The importance of data has been more and more companies, individuals are well-known and accepted, and even before the trend has not yet. The concept of big data skyrocketed, it seems that overnight everyone is talking about big data, met without greet big data, it seems not mixed in the data circles. So, the data passed by the outside world amazing, in the end can promote business take off? Or put it another way, the business what level of data needs? Where can the data help the business? Combined with the author's many years of work experience and Data and business understanding, business demand for data summarized ...

More and more companies, individuals have the importance of the data, more than ever before momentum. The concept of big data is everywhere, as if everyone is talking about big data, met without greetings of big data, as if it was not in the data world. So, was such a miraculous data from the outside world, in the end in what areas can promote business development? Or that business data on what level of demand? Where can the data to help business? With their many years of work experience and Data and business rough understanding, the business needs of the data summarized in four levels ...

Absrtact: The importance of data has been more and more well-known and accepted by more and more companies and individuals, even the momentum of too much overkill. The concept of large data flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not the importance of data has been more and more companies, individuals are familiar with and accept, and even the momentum of overkill. The concept of large data is flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not in the data circle mixed. Then, by the outside gadget ...

Absrtact: The importance of data has been more and more well-known and accepted by more and more companies and individuals, even the momentum of too much overkill. The concept of large data flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not the importance of data has been more and more companies, individuals are familiar with and accept, and even the momentum of overkill. The concept of large data is flying, it seems that one night everyone is talking about big data, see the face without large data to greet, as if it is not in the data circle mixed. Then, by the outside gadget ...

The writer Hangyuan, chief scientist of Huawei Noah's Ark laboratory. In this article I combined my personal experience, put forward to become a good engineer what needs? 　　We should follow the five principles: face the problem, solve the problem, solve the problem systematically, stand on the user's point of view, get the maximum benefit at the lowest cost; I have been in the research department of IT companies, and so far a total of three companies have worked: NEC, Microsoft, Huawei. The work content is different, both the base ...

In our development of the efficiency has been a problem, especially for a lot of large data operations, today we ran into a random query data, at first we may think of the simplest order by RAND () to operate but the efficiency is not flattering ah. Recently, because of the need to study the MySQL random extraction implementation method. For example, to randomly extract a record from the TableName table, the general wording is: SELECT * from TableName ORDER by RAND () LIM ...