2014 Big Data trends and how to deal with the security market?

The February 8 News, according to foreign media reports, Cloud management company Adaptivecomputing recently published its 2014 future calculations and large data analysis of the main forecast. These forecasts include emerging trends such as cloud computing conflicts, high-performance computing, and large data. These trends will accelerate the way companies extract insights from data.

1. Enterprises will consolidate resources to provide better large data solutions

According to Adaptivecomputing's survey, 91% of the agencies believe that large data, high-performance computing or cloud computing will appear some mergers. Adaptivecomputing predicts that with the increasing conflict between cloud computing, High-performance computing and large data, organizations that invest in software that can orchestrate and optimize data center resources will gain a competitive advantage. This software will improve utilization by simultaneously arranging computations on multiple computing platforms.

2. More institutions will use high-performance computing as a large data solution

According to the adaptivecomputing survey, 44% of institutions use high-performance computing as a large data solution. As the cost of high-performance computing hardware continues to decline, high-performance computing will become a large data solution for more organizations, including midsize enterprises.

3. Large data analysis process will be more automated

Adaptivecomputing's survey showed that 84% of the agencies surveyed had manual processes for analyzing large data. Manual methods are time-consuming, often resulting in low utilization and a silo-type computing environment. This explains why 90% of institutional respondents get better satisfaction from better analytical processes or workflows. To deal more effectively with simulation and data analysis, more organizations will automate workflows, minimize costs, and reduce the number of manual jobs that are prone to errors.

4. The number and complexity of large data workflows will begin to affect business more on a larger scale

According to Adaptivecomputing's survey, 72% of the agencies interviewed said that the workflow would affect their business. This is because enterprises build different types of datasets and databases, as well as the complexity of the corresponding applications needed for each job. Running calculations and data-intensive large data workflows without automation is likely to cause blocking and latency results. Adaptivecomputing predicts that focusing more on automating workflows will eliminate congestion and help extract critical information from large data and accelerate understanding of the business's internal situation.

5. More effective large data analysis will increase revenue sources

Mobile, large data and analysis are more important to institutions than social networks, according to a study published in January 2014 by Gartner, a market research firm, entitled "User Survey Analysis: improving efficiency and reducing costs is the king of decision making for new technology solutions." This is consistent with Gartner's recent findings on vendors. In the survey, 2015 providers said large data analysis generated more than three times times the income generated by social networks. Adaptivecomputing predicts that large data analysis will generate more revenue by increasing efficiency, reducing internal costs, and enabling new business models.

The first organization to come up with the "Big Data Age" is McKinsey, a world-renowned consultancy. In the Big Data Age report, McKinsey notes that big data is now in the global economy, and that, like other production essentials, many modern economic activities leave it alone and that big data will lead to a wave of productivity growth and a consumer surplus. And so far, it will also open China to monitor the capital market of a new round of treasure hunt game.

In the field of video surveillance, with the tide of the era of high-definition monitoring, more and more mass video data are produced. However, a lot of video data is still independent and fragmented. The video recording data spreads in each profession, the unit independent system, has not played achieves the networking, the sharing, the industry also did not form to the data mining, the utilization general method, the core technology still is in the research, has not achieved the major breakthrough.

At present, a large number of video surveillance data using Huain defense field, but mainly artificial search, the government across the duties, Cross-sectoral, cross-regional network sharing applications are still less, let alone for the common people, the use of the community has not yet started. It will be the Gospel of society to open up these video resources and serve the common people, not only for public security and criminal cases, but to promote the development of new data service industry through information disclosure, data sharing and data mining.

Big data is the future development trend, many Chinese companies are now in the big data business, but really will be large data mining and application to implement, into a business model of enterprises or very little, at present many large data concepts are gimmicks.

and security enterprises need to do is to actively strengthen the internal strength, improve research and development capabilities, strengthen technical reserves, to deal with the impact of larger data volumes. Later security manufacturers will be differentiated, part of the traditional security manufacturers more focused on a fixed security field continue to deep, focus on products and technology, a part of security manufacturers will be to Daan integrated platform transformation, focus on business integration and data analysis processing.

(Responsible editor: The good of the Legacy)