Keep up with the top ten essential IT skills in the rhythm Big Data era

New ideas have spawned new technologies, creating many new words, cloud computing, Big Data, BYOD, social media ... In the age of the Internet, new words abound and are overwhelmed. These new technologies, these emerging applications and the corresponding it trends, make it necessary for it people to understand and even master the latest IT skills.

New ideas are creating new technologies that create many new words, cloud computing, Big Data, BYOD, social media, 3D printers, the Internet of things ... In the age of the Internet, new words abound and are overwhelmed. These new technologies, these emerging applications and the corresponding it trends, make it necessary for it people to understand and even master the latest IT skills. On the other hand, cloud computing and big data, and even other new deployments and operations that boost the IT infrastructure of various industries, will bring more IT jobs and related skills and technology requirements.

There is no doubt that the advent of these new trends will create a new generation of jobs, such as data mining experts, mobile application development and testing, algorithmic engineers, business intelligence analysts, but also to strengthen the original position of the new vitality, such as network engineers, system architects, consultants, database management and development and so on. Here we introduce the top ten IT skills reflect the work of the position:

Algorithmic engineer

First, the algorithm engineer

Dr. He Wanzing has introduced three ways to do one thing quickly, including "improving pipelining efficiency, better algorithms, and shorter code-critical paths." "It can be seen that the algorithm plays an important role in system efficiency." The algorithm is to allow the machine to solve the problem in the way of human imagination, the algorithm depends largely on the problem type and the engineer's understanding of machine programming, and its efficiency is closely related to the algorithm.

In mathematics and computer science, the algorithm (algorithm) is a concrete step of computation, often used for computation, data processing, and automatic inference. In the era of big data, the function and functions of the algorithm are further highlighted. For example, for the company search business, the development of search relevance algorithm, sorting algorithm. The data mining algorithm is designed for the company's massive user behavior data and user intention.

Algorithm Engineer Recruitment Information

Algorithm engineer, according to the field of research mainly has audio/video algorithm processing, image technology aspects of two-dimensional information algorithm processing and communication physical layer, radar signal processing, biomedical signal processing, such as the field of one-dimensional information algorithm processing. In addition, data mining, Internet search algorithms, which embody the direction of big data development, has become more and more popular in recent years, and algorithmic engineers are gradually developing toward AI.

Business Intelligence Analyst

Second, business intelligence analyst

The business intelligence extended by algorithmic engineers, especially in the big data world, has become even hotter. Bluewolf, an IT career and consulting firm, has released reports that the fastest growth in IT jobs is mobile, data, cloud services, and user-facing technicians, with specific jobs including business intelligence analysts.

Business intelligence analysts often need to be proficient in database knowledge and statistical analysis to be able to use business intelligence tools to identify or monitor existing and potential customers. Collects business intelligence data, provides industry reports, analyzes trends in technology, identifies future product development strategies for the market or improves sales of existing products.

Business Intelligence Analyst Recruitment Information

Business intelligence and logic analytics skills are particularly important in the age of big data, and IT professionals with business knowledge and a strong background in data and math analysis will be more attractive to large enterprises in the future it workplace. But these skills are not generally available to people, and some companies are recruiting statisticians and teaching them about technology and business.

Third, data mining engineer

Data mining engineers can also be called "Data mining experts". Data mining is a technique that analyzes each data and finds its regularity from a large amount of data. Data mining is a decision support process, it mainly based on artificial intelligence, machine learning, pattern recognition, statistics, database, visualization technology, highly automated analysis of enterprise data, to make inductive reasoning, from which to dig out the potential model, help policymakers adjust market strategy, reduce risk, make the right decision.

Data Mining specialist Recruitment information

Data mining experts, or the skills that data mining engineers possess, can create wealth quickly. The data mining company, founded by Amazon's first Data mining engineer, David Selinger, David Sailing the Amazon-like product recommendation engine system to online retail and advertising vendors, and this product recommendation engine system has become Amazon's most lucrative tool ever. The value of data mining is evident.

IT Systems Consultants

Iv. Consultants (experts)

Any business unit or any industry enterprise has an IT system that is behind the obscurity. In the era of cloud computing big data, business challenges and opportunities will also bring more requirements to IT systems. In this case, the planning, deployment and operation of IT systems requires more proficient professionals to meet the needs of future big data analytics, cloud service applications.

Jack Wolf, Vice-chairman of the Montfavo Medical Center in New York, said he was looking for new employees who would not only build and use the system but would also give technical support to other employees, saying: " The new system means that you have to have more information desk to handle more consultation volume. "Of course, this is mainly reflected in a system of technical support functions, but the regulation leopard we are not difficult to find, whether it is the initial deployment of material procurement or the operation of the process of wisdom, highlighting the importance of such a technical consultant.

Five, network engineer

Network engineers can be said to be a "green evergreen" career, network technology has been in urgent need, U.S. human resources company Rob Head International (Robert half International) third-quarter IT recruitment index and skills report points out that Network management occupies the second place in the total demand skill ranking. For the era of cloud computing, the network plays a more important role in the cloud resource pool (compute, storage, network).

Network engineer Recruitment information (Cloud computing direction)

On the other hand, IPV6 standards, Internet of things, mobile interconnection and other booming, so that network engineers, especially the new network engineers (mobile, IPV6, cloud computing direction) of the talent and skills requirements are more and more. Network engineers can therefore be subdivided into several development directions, the corresponding skills require their emphasis is also different. such as network security, network storage, architecture design, mobile network and so on.

Mobile Application Development Engineer

VI. Mobile Application Development Engineer

Mobile app development will become more popular with the advent of the mobile internet era. By the end of 2012, China has 1 billion mobile users, mobile intelligent end users more than 400 million, in mobile payments, mobile shopping, mobile tourism, mobile social and other aspects of the emergence of a large number of mobile Internet games, applications and start-up companies.

Mobile platform Intelligent system more, but the real impact is also iOS, Android, WP, BlackBerry and so on. A large number of the original PC and Internet information applications, Internet applications have appeared on the mobile platform, some of the previously unseen novelty applications have also begun to appear, and increasing.

Mobile app Development

Mobile application development, because of the existence of a number of platform systems, so different platform developers face the opportunities and challenges are not the same. One obvious example is that the Linux-based Android system, which was led and developed by Google and the Open Mobile Alliance, has created huge business opportunities for developers (business) after open source, and has firmly chosen the development engineer for the iOS platform. Also through the continuous expansion of the Apple ecosystem and the high market occupancy of smart devices, the earlier batch of developers have made a full pot. However, in the domestic due to user habits, industrial environment and copyright protection issues, mobile application developers did not get the corresponding benefits.

Vii. Software Engineer

In recent years the IT industry has emerged with a wave of software-defined networking (SDN), software-defined data centers, software-defined storage (SDS), and software-defined servers (MoonShot), with software defining trends in all future IT infrastructures.

PaaS, SaaS, data Mining and analytics, data management and monitoring, virtualization, application development, and more are all good platforms for software engineers. Accordingly, these areas of technology are also more demanding for software engineers, especially for virtualization and the development and management of applications such as BYOD, cloud computing, and big data, all requiring more advanced technical support.

Java Senior Software engineer Post recruitment information

A bit similar to algorithmic engineers is that software engineers also need to focus on the use of design patterns, and a good engineer can often identify and exploit patterns rather than being constrained by patterns. Instead of adapting the system to a pattern, engineers need to discover the timing of using patterns in the system.

Database Development and Management

VIII. Database Development and management

Database development and management in the era of big data is particularly important, the relevant database management, transport and development technology, will become the vast number of BI, large enterprises and consulting and analysis institutions to pay special attention to the skills embodied. The emergence of massive amounts of data representing more types, especially unstructured types, requires us to capture, analyze, and transmit these datasets in real time, while challenging the infrastructure, with particular emphasis on database development and management challenges.

For example, a distributed database system for mass data management, NoSQL, is a popular platform for non-relational database in Big data field, high availability, large throughput, low latency, high data security application characteristics have become the characteristics of many enterprises, And hope that there are enough good it developers to deeply develop the nosql system, to solve the expansion of storage, downtime, smooth expansion, automatic failure to switch problems such as distress.

NoSQL (NoSQL = not-only SQL)

In addition, the more well-known data management of the Hadoop distributed database HBase requires the overall management of the data through an architecture consisting of hregion, Hmaster, and Hclient. These also require a deep understanding of Hadoop and a mastery of the business to be competent. In addition, big data storage management, memory computing, including based on these applications on the platform development, and so on, will also be more and more popular market.

Nine, System architect

Last year, Samsung's chief System architect, Jim Mogad Jim Mergard, moved to Apple, a recent major change in the system Architect's staff, which also illustrates the importance and recognition of today's systems architects.

As we all know, the advent of cloud computing and big Data makes traditional data center infrastructure difficult, on the other hand, the increasingly fierce market competition and the emergence of business opportunities such as mobile interconnection, will inevitably bring profound changes to enterprise business. This change and IT architecture transformation will involve the core issue of IT system architecture. The system Architect's ability to plan and deploy is particularly important when compared to the previously described IT skills and the corresponding positions, and it involves the pain points of the entire polygon rather than a certain point in the field.

Ten, System security Division

Similarly, network, compute, storage, and system architecture also need to focus on security issues, and security in today's cloud computing environment, the protection of personal privacy and enterprise sensitive data has been strengthened.

Many companies are constantly facing increased compliance requirements after shrinking IT security budget spending. Companies are considering whether some IT operations should be handed over to cloud service providers. In fact, everyone is stressed, the budget is not enough to try to protect data security, especially small and medium-sized enterprises, which means that enterprises need to outsource some of IT operations to third parties to reduce capital and human investment.

Even if the form of outsourcing is not used, both individuals and enterprises will be more security-oriented, because "security" itself is no industry constraints and division, especially in the enterprise in the building of cloud computing environment, submit or collect massive data for processing analysis, storage and transmission, etc., will face new challenges. This challenge is bound to require more and more professional technical personnel to help solve these problems. Compared to the traditional, the system security Division will be more in conjunction with specific business development, and rooted in the system platform and the underlying infrastructure of the system security, more will appear in the operators, service providers on such talent demand.

Keep up with the top ten necessary IT skills in the era of Big Data (RPM)