New ideas give birth to new technologies, thus creating many new words, such as cloud computing, big data, BYOD, social media, 3D printers and the Internet of Things ... In the Internet age, all kinds of new words emerge one after another, which is overwhelming.
These new technologies, emerging applications and corresponding IT development trends make IT necessary for IT personnel to know and even master the latest IT skills. On the other hand, a new round of deployment and operation and maintenance of IT infrastructure such as cloud computing and big data, which promote the development of various industries, will bring more IT jobs and related skills and technical requirements.
Undoubtedly, the arrival of these new trends will give birth to a number of new jobs, such as data mining experts, mobile application development and testing, algorithm engineer, business intelligence analysts and so on. At the same time, it will also strengthen the new vitality of the original jobs, such as network engineers, system architects, consultants, database management and development. The following are the jobs reflected in the top ten IT skills:
I. algorithm engineer
Dr. He Wanqing once introduced three ways to do one thing quickly and well, among which he mentioned "improving pipeline efficiency, better algorithm and shorter code critical path". It can be seen that algorithm plays an important role in system efficiency. The algorithm is to let the machine solve the problem in the way that human beings imagine. The algorithm largely depends on the type of problem and the engineer's understanding of machine programming, and its efficiency is closely related to the algorithm.
In mathematics and computer science, algorithm is a concrete step of calculation, which is often used in calculation, data processing and automatic reasoning. In the era of big data, the function and role of the algorithm are further highlighted. For example, develop search-related algorithms and ranking algorithms for company search business. Aiming at the massive user behavior data and user intention of the company, a data mining algorithm is designed.
Algorithm engineer is divided into audio/video algorithm processing, two-dimensional information algorithm processing in image technology and one-dimensional information algorithm processing in communication physical layer, radar signal processing, biomedical signal processing and other fields. In addition, data mining and Internet search algorithms, which reflect the development direction of big data, have become more and more popular in recent years, and algorithm engineer has gradually developed towards artificial intelligence.
Second, business intelligence analysts.
Business intelligence extended from algorithm engineer, especially in the field of big data, has become increasingly hot. Bluewolf, an IT career and consulting service company, has published a report that the fastest growing demand for IT jobs is mobile, data, cloud services and user-oriented technicians, including a business intelligence analyst.
Business intelligence analysts often need to be proficient in database knowledge and statistical analysis ability, and can use business intelligence tools to identify or monitor existing and potential customers. Collect business intelligence data, provide industry reports, analyze the development trend of technology, determine the future product development strategy of the market or improve the sales of existing products.
Business intelligence and logical analysis ability are particularly important in the era of big data. In the future IT workplace, IT talents with business knowledge and strong data and mathematical analysis background will be more favored by large enterprises. However, these skills are not universally available. Some companies are currently recruiting statisticians and teaching them technical and business knowledge.
Third, data mining engineers.
Data mining engineers can also be called "data mining experts". Data mining is a technology to discover its laws from a large number of data by analyzing every data. Data mining is a decision support process, which is mainly based on artificial intelligence, machine learning, pattern recognition, statistics, database, visualization technology and so on. It analyzes the enterprise data with high degree of automation, conducts inductive reasoning, and mines potential patterns from it, helping decision makers to adjust market strategies, reduce risks and make correct decisions.
The skills mastered by data mining experts or data mining engineers can quickly create wealth for them. At that time, the data mining company founded by David Selinger, Amazon's first data mining engineer, sold a product recommendation engine system similar to Amazon to online retailers and advertising providers, which became the most profitable tool in Amazon's history. This shows the value of data mining.
Four. Consultant (expert)
Any business department, any industry enterprise, has IT system behind it. In the era of cloud computing and big data, the challenges and opportunities faced by business will also bring more requirements to IT systems. In this case, the planning, deployment, operation and maintenance of IT systems need more proficient professionals to meet the needs of future big data analysis and cloud computing service applications.
JackWolf, vice chairman of montefioremedical Center in new york, once said that he was looking for new employees, who should not only set up and use the system, but also provide technical support to other employees. He said, "The new system means that you must have more information desks to handle more inquiries." Of course, the technical support function of a certain system is mainly reflected here, but it is not difficult to find that the importance of such technical consultants is highlighted in both the material procurement at the initial stage of deployment and the good suggestions in the operation and maintenance process.
Verb (abbreviation for verb) network engineer
Network engineer can be said to be an "evergreen" profession, and network technology has always been in urgent need. According to the third quarter IT recruitment index and skills report of Robert Half International, an American human resources company, network management ranks second among the total demand skills. For the era of cloud computing, the network plays a more important role in the cloud resource pool (computing, storage, network).
On the other hand, with the rapid development of IPv6 standard, Internet of Things and mobile Internet, the talents and skills of network engineers, especially new network engineers (mobile, IPv6 and cloud computing), are increasingly demanding. Therefore, network engineers can be subdivided into several development directions, and the corresponding skill requirements also have their own emphasis. Such as network security, network storage, architecture design, mobile network and so on.
Six, mobile application development engineer
With the advent of the mobile Internet era, mobile application development will become more popular. By the end of 20 12, the number of mobile phone users in China was 10 billion, and the number of mobile intelligent terminal users exceeded 400 million, and a large number of mobile internet games, applications and startups emerged in the fields of mobile payment, mobile shopping, mobile travel and mobile social networking.
There are many intelligent systems on the mobile platform, but the really influential ones are nothing more than iOS, Android, WP, BlackBerry and so on. A large number of information applications and Internet applications on PC and Internet have appeared on the mobile phone platform, and some novel applications that have never been seen before have begun to appear and are increasing day by day.
Mobile application development, because there are multiple platform systems, different platform developers face different opportunities and challenges. An obvious example is that the Android system based on Linux, which was developed by Google and open handset alliance, brought huge business opportunities to developers (businesses) after open source, and the development engineers who firmly chose the iOS platform also made a lot of money through the continuous expansion of the Apple ecosystem and the high market share of smart devices. However, due to domestic user habits, industrial environment, copyright protection and other issues, mobile application developers have not received corresponding benefits.
Seven, software engineering designer
In recent years, software-defined network (SDN), software-defined data center (SDS), software-defined storage (SDS) and software-defined server (MoonShot) have gradually emerged in the IT industry, and there is a trend that software will define all IT infrastructures in the future.
PaaS, SaaS, data mining and analysis, data management and monitoring, virtualization, application development, etc. It is a good stage for software engineering teachers to display their talents. Correspondingly, these technical fields will also have higher requirements for software engineers, especially the development and management of virtualization, BYOD, cloud computing, big data and other applications, which require more advanced technical support.
Similar to algorithm engineer, software engineers also need to pay attention to the use of design patterns. A good engineer can usually identify and use patterns, rather than being bound by them. Engineers should not adapt the system to a certain pattern, but need to find opportunities to use the pattern in the system.
Eight. Database development and management
Database development and management is particularly important in the era of big data, and related database management, operation and maintenance and development technologies will become the skills that BI, large enterprises and consulting and analysis institutions pay special attention to. It represents the emergence of more types (especially unstructured types) of massive data, which requires us to collect, analyze and transmit these data sets in real time. While posing severe challenges to infrastructure, it also emphasizes the challenges of database development and management personnel.
For example, NoSQL, one of the distributed database systems for mass data management, is a popular platform for non-relational databases in the field of big data. The application characteristics of high availability, large throughput, low latency and high data security have become the characteristics valued by many enterprises. it is hoped that there will be enough excellent IT developers to deeply develop the NoSQL system and solve the problems of storage expansion, downtime, smooth expansion and automatic failover.
The above are the contents of eight popular IT jobs in the era of big data shared by Bian Xiao. For more information, you can pay attention to Global Ivy and share more dry goods.