Do you really understand what a big data concept is?

Recently, the topic of large data by many European and American CIO, about the enterprise internal management and information work, more and more people began to pay attention to it. When CIOs propose to use large data architectures to release increasingly saturated IT resources, media people are asking: what do you really understand about the concept of big data? Cio.com recently wrote that enterprises in the deployment of large data and cloud security http://www.aliyun.com/zixun/aggregation/6608.html "> Intelligent Platform (LSIP), there are some inadequate methods and management tools, Hinder the management and use of effective data.

Loglogic's CMO Mandeep Khera says most CIOs in the enterprise are focused on big data, but they don't understand what that means, and there is no clear definition of how much big data there is, and everyone is confused.

A new survey by the IT Security Research consultant and Loglogic found that 49% of the organizations were very concerned about managing the concept of large data, but 38% of respondents did not understand what big data was, and another 27% said their understanding was more one-sided. In addition, the survey found that 59% of businesses lacked the tools they needed to manage their IT system data, and instead turned to stand-alone and different systems or spreadsheets.

"We know that data is made up of a lot of different content and important, including security, IT operations, compliance, etc." Khera said: "Companies need to manage data more effectively so policymakers can make smarter decisions." ”

"Large unstructured data has many terabytes. "Khera explains:" Information is power, big data, if properly managed, can provide powerful insight into security, operations, and other issues to help organizations of all sizes and cloud infrastructure to provide a variety of sources to collect more data. But many organizations do not use these tools and processes properly to manage data, and if this pattern continues, we will see further failures and inability to obtain effective operational data that affects the wise decisions of the business.

According to a majority of respondents, 62% per cent said they had managed multiple terabytes of data. But it is more concerned about the future of large data processing. At present, the amount of data in the world is increasing at an almost incomprehensible rate. IBM publishes information that they create tens of thousands of bytes of data a day. According to the blue Giant's statistics, this growth is staggering, including data from sensors, transactions, images, videos, social media, logs and other sources.

However, if you don't have the tools to manage and execute these big data and analyze the effective information, these are essentially the growing rubbish.

"One of the keys to controlling large data is to consolidate and centralize operations from across the country from Web applications, middleware, custom backend applications and database index repositories, as well as common user interfaces, organizations, including log management of log records," Khera said. In order to normalize data processing, with the ability to correlate, report, and send operational alerts, Loglogic commissioned expert Cairns earlier this month to set up a network Security Application Institute to conduct an analysis of information security and to carry out the management of log data from Regulations (Isia).

After an interview with Loglogic customers about big data issues, he says the main difference between Big Data log management is the sheer volume of log information. But after the incident, it is a very simple matter. If there are only a few devices, imagine crossing thousands of servers and using petabytes of data without an Easy-to-use user interface or indexed repository, how to react quickly. Large data, not only size, but also to consider the characteristics of speed. It takes time to search for data on a large scale. If it is an incorrect index, if the critical information about unauthorized access or other activity is not available because it is not indexed, the search results for large data will be indeterminate. Therefore, if the index time is too long, critical alert message latency can result in unacceptable latency response times.

Now, although only 54% of respondents say they use a log management solution to manage their log data. Many use system logs and spreadsheets to manage your own logs. The survey also showed that 33% of people do nothing.

The results show that: in practice, the management of large data becomes very inconsistent. Large data, clouds need to meet objective cognitive management operations, and most companies are not ready for any of them to deal with the comments. Just like the charming statue saw the rift, most of the respondents did not effectively monitor the cloud environment or report the normal activities of the network and equipment, which is not the correct way to use large data. Therefore, the detailed data era of management and thinking, will become very important.