Cloud apps: Finding talent treasure by recruiting big Data online

In the large data age, how to make more efficient use of data for enterprises to do more valuable decision-making and development is particularly important, the development of cloud computing and the continuous maturation of large data business, so that the topic can "play" more and more places. Another year of "Job-hopping Peak", for the recruitment site, its stored user data value both in terms of effectiveness and relevance are very quality, but how to use the data to make analysis, and to provide users with more convenient and efficient services need to rely on a number of key business help. In Chinahr, CTO Shiller, the resume is more of a statistical proposition: through insights into big data, recruiting sites can be "more than you know yourself".

Chinahr was founded in 1997 with tens of millions of, hundreds of billions of data information, with its own 20 servers before using Windows Azure for several days. Now the cloud services through Microsoft are done in a few minutes. As the first online recruitment web site using cloud computing, Chinahr the use of Windows Azure cloud and large data services, the average delivery of new jobs increased by 80%, the site's 2014-year visit compared to 2013 growth of 871.21%, resume delivery volume increased by 213.24%. This year, you will gradually migrate all your business to Windows Azure.

The ultimate goal of job seekers and recruiters is to find objects that match precisely. Through the large data analysis can do machine intelligent algorithm, automatically do this match. Microsoft's technology platform provides a great help on data mining and data analysis, and the Hdinsight service provides a very free platform to quickly deploy a large Hadoop platform in minutes.

In order to do more than job seekers and employers "know Yourself", Chinahr invested 250 million yuan to focus on upgrading the technology platform and the introduction of core talent. Among them, hand Microsoft, with the help of the century-operated Windows Azure Microsoft Cloud Platform to upgrade its campus recruitment system, to open up the technology transformation of cloud computing bold move, become a recruiting site cloud transformation of another aspect.

Chinahr in the past 20 years of development process, accumulated a large number of talent data information. Especially in the spring and autumn of the campus recruitment season, Chinahr received the total number of resumes in the year 70%-80%--among them, many state-owned enterprises received more than 100,000 resumes a day. Data volume of the increase in demand for the server, the data volume often exceeded expectations, expansion pressure, and over the peak season, the server and related IT resources will be idle down, resulting in waste.

For Chinahr CTO Benji, these data resources are both wealth and baggage.

As business continues to grow and data accumulates, the time it takes to back up and restore Chinahr data is large, and some of the data is time-consuming and even timed. And once the problem, the data involved will be difficult to quickly and flexibly restore and deployment, and even have access to lost data anomalies. From a security standpoint, to carry out data synchronization, both time-consuming and limited by network bandwidth, the effectiveness is not high, coupled with the computer room conditions and hardware equipment differences, in the off-site switching service, server and bandwidth performance on the bottleneck and a lot of pressure, resulting in site access anomalies.

Therefore, it is the main challenge for the Chinahr technology department to reduce the management cost brought by the mass data processing and storage while guaranteeing the safety of the personnel data and realizing the efficient operation. After a comprehensive review and comparison, the Windows Azure Microsoft Cloud Computing solution, operated by the century, has entered the vision of the Chinahr technical team. The actual test shows that Azure features enough to meet business needs, especially in Beijing and Shanghai, 6 off-site backup, cold data rapid recovery, hot and cold data efficient management, local and cloud business fast switching, high-quality bandwidth resources and other advantages of technology, to ensure that data security, and improve data synchronization efficiency, Let the IT system be flexible and calmly respond to the pressure of the annual recruitment season.

For a 179-city branch in the country, with more than 2,600 employees, it is not a simple matter to apply the new technology comprehensively--not only the current technology platform docking, migration, but also the future of business needs and development, forward-looking technology reserves and bedding. Chinahr In the future, the online recruiting website will not only provide a platform for enterprises and job seekers to share information, but also make full use of large data, machine learning and intelligent algorithms to provide accurate matching for both sides. Starting from this development concept, Chinahr decided to use Microsoft Cloud to let itself this ship accurately grasp the direction of the data reserves from the burden to the advantage of resources to achieve faster development.

The biggest change that Windows Azure brings is a comprehensive increase in Chinahr's ability to exploit fragmented information. The Hdinsight distributed large data service provided by Microsoft Cloud provides rapid and easy deployment for multiple types, unstructured, fragmented data analysis and applications. Through the job seekers on the recruitment site to leave the job search, delivery options and other traces, you can achieve a very high precision matching degree. The data analysis reveals that a graduate from a sports college is actually more interested in computer design, and that professional services are becoming a hot spot for jobs, and that job seekers are more likely to find information on demand and trends, such as work units that are less than 30 minutes away. through to each enterprise delivers, buys, the successful application resumes to do the statistical analysis, extracts the key characteristic, may recommend the high success rate resume for the enterprise. When users search for positions, even the same search requirements, for the user's own needs characteristics, will return more suitable for individual needs, different results.

In order to be invincible in the future competition, enterprises need to develop breakthroughs in service differentiation, mobile end and marketing mode, and how to play the big data in hand is the key to win the future. As Benji said: "A large amount of user resumes constitute a huge talent treasure, if not intensive cultivation, you will be lost." The intelligent algorithms provided by large data, like the key to unlocking the treasure, allow us to accumulate data for 18 of years as a big data threshold that rivals cannot surmount.