2014 Big Data Five trends: enterprises or the consolidation of computing resources

According to foreign media reports, cloud computing management company re-use Computing recently published its 3721.html ">2014 years of future computing 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 the survey, 91% of institutions believe that large data, high-performance computing or cloud computing will appear some mergers. It is predicted that with the increasing conflict between cloud computing, High-performance computing and large data, institutions 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 survey, 44% of the 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

Surveys show that 84% of the agencies surveyed have a manual process 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

The survey found that 72% of the agencies interviewed said 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. The forecasts say 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 research firm titled "User Survey Analysis: improving efficiency and reducing costs as 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. Projections say large data analysis will generate more revenue by increasing efficiency, reducing internal costs, and enabling new business models.