Can be engaged in a wide range of work, the job description is as follows:

Big Data System R & D Engineer

Responsible for the development of big data systems, including large-scale non-structured data business model construction, big data storage, database architecture, optimize the database architecture, to address the design of the database center, etc., and at the same time, the Also responsible for the daily operation of data clusters and monitoring of the system, etc. Big data system development engineers are necessary for any enterprise that constructs a big data system, so this kind of position is in greater demand.

Big Data Application Development Engineer

Responsible for building big data application platforms and developing analytical applications, they must be familiar with tools or algorithms, programming, optimization, and deployment of different MapReduce, they develop a variety of applications based on big data technology and industry solutions.

Big Data Analysts

Principally work in data mining, applying algorithms to solve and analyze problems and make data reveal its truth, while at the same time, they drive the continuous updating of data solutions. As the size of datasets continues to grow, enterprise demand for Hadoop and related inexpensive data processing technologies such as Hive, HBase, MapReduce, Pig, etc., will continue to grow, and technicians with experience in the Hadoop framework are the most sought-after big data talent for the popular analyst jobs they hold.

Data Visualization Engineer

The development of data visualization, like most of the project development, is also based on the demand to filter according to the data dimensions or attributes, and select the presentation according to the purpose and user groups. The same data can be visualized in many different forms. Data visualization engineers are responsible for dao responsibility in the collection of high-quality data, the use of graphical tools and means of application, clearly reveal the complex information in the data, to help users better big data application development, if you can use the new data visualization tools such as Spotifre, Qlikview and Tableau, then, it becomes a very popular talent.

Data security research and development talent

Data security research and development talent is mainly responsible for large-scale server, storage, data security management within the enterprise, and the network, information security project planning, design and implementation, and for the data security aspects of the specific technology of the talent is even more needed if the data security technology, but also With strong management experience, can effectively ensure the data security of big data construction and application units, that is the sought-after talent.

Data Science Research Talent

Data Science Research is a brand new work, enough to transform the unit, enterprise data and technology into useful business value, with the arrival of the era of big data, more and more work, affairs directly related to or targeting the data, which requires a data science research experts to conduct research.

Big Data is the most sought-after talent in the world, and it's the most important thing to know is that it's the most important thing in the world.

Big data development prospects are very good, Nanjing classroom workshop wish you all can high salary employment.