2017, big data has moved from concept to fall; in 2019, followed by a wave of low-end IT engineers to accelerate the transition to big data, enterprise big data directly for talent is heating up.
So, for people who want to learn IT technology, I suggest, directly choose to study big data technology is in line with the trend of choice and employment needs.
Meaning a big data
Today's society is a society of rapid development, technology development, information flow and exchange between people getting closer, more and more convenient life, big data product is this high-tech era.
Alibaba founder Jack Ma speech to Taiwan on the mentioned coming age will not be the IT era, but the era of DT, DT is the Data Technology Data Technology, big data for display Alibaba Group is very important.
The data was compared to the energy reserves of coal. There are classified according to the nature of coal coking coal, anthracite coal, fat coal, lean coal, and coal mine, coal mining costs mountains not the same. Similarly, big data is not in the "big", but rather "useful." Value content, the cost of mining is more important than quantity.
For many industries, how to use these large-scale data is the key to win the competition.
Value Second, big data
Reflect the value of big data in the following areas:
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Provide products or services to a large number of consumers, businesses can take advantage of large data precision marketing.
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A small and beautiful patterns of small and medium micro enterprises can take advantage of big data do service transformation.
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Under pressure must be faced with the transformation of the traditional Internet companies need to take advantage of the times the value of big data.
Third, the direction of big data jobs
The moment, the employment aspects of big data has three main directions: first class data analysis of large data, human resources and systems development class big data talent and the third is the application development class big data talent. Their jobs are the big data base system R & D engineers, big data application development engineers, large data analyst.
For job seekers, big data is only engaged in a career direction, and professional positions which are determined to do something?
Big data practitioners / technical job seekers can learn their characteristics and interests, choose a suitable large data related posts.
Here we will introduce ten kinds of jobs associated with the popular big data.
1. ETL development
Enterprise data types and increasing sources of data integration and processing is becoming increasingly difficult, enterprises urgently need a kind of talent data integration capabilities. ETL developer This is a demand in this professional positions at the birth of the foundation. One of the reasons ETL talent in the big data era is hot: in the early stages of large enterprise data applications, Hadoop is just poor ETL.
2. Hadoop development
With the increasing size of data, data processing costs of traditional enterprise BI excessive burden. The cheap Hadoop data processing capabilities to be re-excavated, business needs continue to grow. And become a big data technology personnel must master.
3. visualization tool development
Visual development on the graphical user interface is the visualization tool provided by the user interface elements, there is visual development tools automatically generate the related application software, easily across multiple resources and connect all levels of the data. In the past, data visualization belong to the category of business intelligence developers, but with the rise of Hadoop, data visualization has become an independent professional skills and jobs.
4. Information Architecture Development
Big data re-energize the boom master data management. Full development and utilization of enterprise data and support decision-making requires very specialized skills. Information architects must understand how to define and archive key elements to ensure that the most effective approach to data management and use. Key skills include information architect master data management, business knowledge and data modeling
5. Data Warehousing
To facilitate business decision-making, for the purposes of reporting and analytical decision support and data warehouse to create research jobs strategy is a collection of all types of data. Providing business intelligence services and guidance on business process improvement and monitoring time, cost, and quality control.
6. OLAP development
OLAP line analysis developer, responsible for data extraction from relational or non-relational data sources out of the model, and then create a data access user interface that provides high-performance pre-defined queries.
7. Scientific data
Data scientist is a new type of work, it will be able to enterprise data and technology into the commercial value of the business. With the progress of science data, more and more work will be directed at the actual data, which will allow human knowledge data to understand nature and behavior.
8. Data Analysis Prediction
Marketing departments often use predictive analysis to predict user behavior or targeted user. Predictive analytics developers have spotted some scenes somewhat similar data scientists, namely to test threshold and to predict the future performance of the enterprise on the basis of historical data by assuming.
9. Enterprise Data Management
Enterprises should improve data quality must consider data management, and data stewards need to set up to this end position, this position need to be able to use a variety of technological tools pooled large amounts of data around the enterprise, and data cleansing and normalization, data import data warehouse, becoming a usable version. Then, through reporting and analysis technology, data is sliced, diced, and delivered to thousands of people. People act as data stewards, data need to ensure market integrity, accuracy, uniqueness, authenticity and not redundant.
10. Data Security Studies
Data security in the office, is responsible for large-scale enterprise servers, storage, data security management, and network planning, information security project design and implementation. Data security researchers also need to have strong management experience, with the knowledge and ability of operation and maintenance management of traditional business enterprises have a more profound understanding, in order to ensure the security of enterprise data to do a trace does not leak.
Fourth, the employment prospects of large data
In terms of employment "money scene", the major Internet companies are hoarding large data processing personnel, salary of employees is also very good. With basic Hadoop development engineers, for example, the entry salary has reached more than 8K, working one year salary can reach more than 12K, senior talent hadoop annual salary up to 300,000 to 500,000.
Big Data Developers salary from headhunting network
Big Data Developers salary from headhunting network
Leading global management consulting firm McKinsey analysis shows that by 2018, demand for large data or data job workers will surge. Where the gap between big data scientists from 140,000 to 190,000, for the jobs gap know how to use big data to make decisions analysts and managers will reach 1.5 million!
All these, all reveal the good prospects for the future development of large data! Waits for no man, seize the opportunity!
