Forecast analysis of 2014 Big Data and cloud computing development

In 2013, we saw an increasing number of http://www.aliyun.com/zixun/aggregation/13844.html "> Large data projects coming out of the proof-of-concept phase and entering the production and implementation phase." Big data is not a whole new idea; businesses know they need to be addressed, and these big data can generate a lot of useful insights (or some integration hurdles).

However, cloud computing is in a very different phase, far beyond the initial hype phase, into a new era of hybrid deployment, in this new era of cloud computing is clearly extended to the data center. In 3721.html ">2014 year, we can expect big data and cloud computing development:

1. Big data and cloud computing grow together: Most organizations know they should use cloud computing platforms, but the main contribution of cloud computing to big data will shift. Soon, cloud computing will be the source of many big data, from open data to social data to aggregated data-all of which will provide energy and power for large data projects.

Businesses want to build a large data infrastructure that includes a comprehensive data source. To go beyond "traditional" data sources (databases, ERP/CRM, etc.), this infrastructure must be extended to any problem-related data sources.

2, Hadoop growth: Initially, Hadoop is basically a single task batch processing platform. With the new developments of the 2013 (e.g. yarn), Hadoop has become almost a computing platform, capable of running a variety of parallel workloads, some responding to the governor, and others responding in real time. Many projects and companies are already using Hadoop2.0, which will stimulate their adoption. We can expect Hadoop to become the "next" enterprise computing platform, driving large data in 2014 for more real-time and operational adoption.

3, mixed data Center cloud rendering: Although the enterprise has adopted the cloud computing, but the cloud deployment is still very isolated, the cloud running in these based on the internal deployment of the system does not always work properly. Soon, the difference between cloud-based and internal deployments will become irrelevant. The broader use of virtualization, resilient deployment technology, and a hybrid integration platform will ensure a complete mix of deployment patterns, often making it irrelevant for some applications that are deployed in the cloud or on the inside.

4, large data to globalization: this year, large data from the new concept for analysis purposes, to the enterprise used to better understand customer behavior of good practices, the implementation of advanced risk analysis. In essence, a large increase in data volumes can be stored or processed, which has enabled businesses to benefit from large data. More data means more operable insights.

In 2014, large data will begin to be adopted for business purposes and will be consumed by many applications, applications, and devices. Now that big data is moving toward usability, more and more use cases will emerge this year.

5, the company becomes data company: No company can avoid becoming an IT company, it is the basic part of each function, is also the key to successfully running an enterprise. But in 2014, taking a step beyond it, many companies will start using data to profoundly transform their businesses, and will either fund their data assets or use them to create new business models or take advantage of untapped parts. Companies will be more than just IT companies-they will be data companies.

Businesses are just touching big data-and there will be a lot of trends. In the coming year, companies will be able to leverage new technologies-especially cloud computing-leveraging the benefits of integrating systems and data tools. Tense up, big data hype is not over!