Learning the employment direction of big data

The employment direction of learning big data is as follows:

Data analyst should be the big data position that everyone hears the most at present. This job refers to professionals who are engaged in collecting, sorting and analyzing industry data of different industries, and make industry research, evaluation and prediction based on the data. In our work, we use tools to extract and analyze data and realize the commercial significance of data.

Therefore, as a data analyst, you need to master data analysis tools such as SPSS, STATISTIC, Eviews, SAS and the marketing thinking of data analysis. According to the statistics of major recruitment platforms, the monthly salary of data analysts is generally above 10K.

The data architect is responsible for the overall data architecture design of the platform, completing the design from business model to data model, designing database modeling according to business functions and business models, and completing the definition and application development of various business-oriented data analysis models, platform data extraction, data mining and data analysis.

To be a data architect, you need to have a strong business understanding and business abstraction ability, the ability to design database models of Internet platforms for things and transactions, a very deep understanding and understanding of scheduling systems and metadata systems, familiar with commonly used analysis, statistics and modeling methods, familiar with data warehouse related technologies, such as ETL and report development, and familiar with Hadoop, Hive and other systems and have practical experience.

Data mining engineer. This work generally refers to engineering professionals who search for hidden knowledge from a large number of data through algorithms. Using this knowledge can make enterprise decision-making intelligent and automatic, improve work efficiency and reduce the possibility of wrong decision-making, so as to be invincible in the fierce competition.

To do data mining, we need to discover rules from massive data, which requires certain mathematical knowledge, especially a deep statistical foundation, and familiarity with statistical analysis software such as R, SAS and SPSS. Experience in machine learning and algorithm implementation under data, familiar with hadoop, hive, map-reduce, etc. Generally speaking, this is also a relatively high-paying job, with a monthly income of 20K~30K.

Data algorithm engineer. In the enterprise, it is responsible for the data mining algorithm and model design of big data products, and formulates and implements architecture specifications such as data modeling, data processing and data security. The knowledge that data algorithm engineer needs is solid basic knowledge of data mining, proficient in common algorithms of machine learning and mathematical statistics, and familiar with distributed computing framework and technical principles.