I chose the IT industry salaries
IT industry is a new sunrise industry, the high-speed increase. Now is the information society, is the fastest growing IT industry. National average GDP growth of 9%, it is already very fast and the development of the IT industry in recent years is 30%, or even 40 percent can create the most value with minimal cost, which is four times that of traditional industries.
A big data talent demand and situation analysis
With the national emphasis on big data, government support big data, big data in the enterprise to take root, blossom and bear fruit. The next three to five years, China will need 1.8 million personnel data, but only about 30 million people. Worry-free future large data job search, a total of 56,664 jobs to meet the conditions; Zhaopin big data job search, a total of 27,627 jobs to meet the conditions; headhunting job search large data network, a total of 10,000 + jobs to meet the conditions; pull hook large data network job search, a total of 10,000 + jobs to meet the conditions.
There are several types of big data industry demand for talent: big data systems R & D engineers, development engineers Big Data applications, big data analysts, data visualization engineer.
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Second, the transformation of big data for the crowd
1, will be a little Java
Java, and Java-based framework, to be found in Silicon Valley has become the largest high-tech companies that bone scaffold. If you move to prototyping past and the need to build large systems, so Java is often your best choice.
2, will be a little Python
Python is often supported in large data processing framework.
3, will be a little R
R language has become the darling of scientific data
Third, the large data engineer is doing what?
1. Large Data Systems R & D engineer: responsible for big data system development, including large-scale unstructured data to build business models, large data storage, database structure design, database optimization framework to address the central database design, while also responsible for data clusters monitor daily operations and systems, etc., this type of talent is the configuration of any institution set up large data systems are required.
2. Big Data Application Development Engineer: responsible for building big data application development platform and analytic applications, they must be familiar with tools or algorithms, programming, optimizing and deploying different MapReduce, they developed a variety of applications based on big data technology and industry solutions Program. (This is to train the best start into the line).
3. Large Data Analyst: mainly engaged in data mining, the use of algorithms to solve and analyze the problem, let the data reveal the truth, at the same time, they also push updated data solutions.
4. Data Visualization Engineer: responsible for the quality of data collected, the use of graphical tools and application means, clearly reveal complex information data to help users better big data application development
Fourth, what is the big data analytics?
Data analysis is the large amount of data collected is analyzed using appropriate statistical methods, not to extract useful information and form conclusions to be studied in detail and summarized the process data.
Data analysis contains "data" and "analyze" two aspects of one hand the collection, processing and sorting data, it also includes an analysis of data and extract valuable information and helpful form of business results. Big Data learning exchange group: 606 859 705
Data analysis results are usually presented in the form of analysis reports. For data analysis, the analysis is the argument, the argument is the data, both are indispensable.
05 big job analysis data analysis
1, business statistics analysts: understand enterprise data, found that business issues, develop predictive models that help companies better decision-making information;
2, data miners: the accumulation of knowledge discovery, need to be familiar with a variety of data mining algorithms can be deep-seated customer identification, portraits, to meet the marketing needs of risk control and customer relationship management.
3, Big Data analysts: massive heterogeneous data, and other tools for data collection, storage and cleaning. At the same time the data miners, reporting, business analysts, statistical cooperation to complete the work;
4, business support: create business reports or business analysis;
5, reporting staff: write SQL queries and reporting procedures;
6, data management: data access provide convenient services to the needs of personnel;
7, data architects: architecture and methods needed to pass processing, data quality management model development and design; platform architecture personnel: responsible business management platform installation, configuration, management and maintenance.
Data Analyst and direction of development of specific things to do
Data analysis it is divided into two directions:
Traffic class is a data analyst, a further technical type of data analysts.
Business Class Data Analyst main job is to drive the overall growth of our business, for example it, do most of it is like operations do work, do develop a report, for example, some of it in addition to his sales department sales Director predict annual performance will do, he will be based for the next quarter would have predicted this quarter, of course, this is less data than time. The amount of data is large enough that this time he would need to use data analysis to predict this year's data for the next year in accordance with, of course, for these primary. Therefore, the type of business data analyst mostly intermediate level will be able to reach you call a high height.
Now what is the type of technology analyst, technical analyst type of main job is to solve a specific problem, such as an example that it is our common resolve of our bank has a risk control system we belong to each individual to determine what kind of risk control, for example, that at this time it is to conduct securities account opening, it will give me a lot of options then will be after I finished I choose what level of risk is: is R1.R2 .R3. it appears at this time after my risk level has been very clear risk ability so I can bear, we will solve this problem.
Another is that it needs to build a model based on further allows developers to do the further development of, for example Today's headlines such as APP which are equipped with a function that recommendation based on what it is to recommend it, according to our preferences, then how can it come to be so accurate in fact, it is also recommended it after a final analysis of large data model established, to establish a good model for future developers to redevelop this feature to its platform to do this it is therefore the data big data technology analyst direction of doing things.