What can big data learning do?

At present, there are three main directions for big data employment: first, big data talents for data analysis, second, big data talents for system research and development, and third, big data talents for application development. Their basic positions are big data system R&D engineer, big data application development engineer and big data analyst.

For job seekers, big data is only one direction of career, while professional positions are about deciding what to do. Big data practitioners/job seekers can choose their own big data-related jobs according to their skills and interests. Here are ten hot jobs related to big data.

I. ETL research and development

With more and more types and sources of enterprise data, data integration and processing become more and more difficult, and enterprises urgently need a talent with data integration ability. ETL Developer This is a professional post born based on this demand. One of the reasons why ETL talents are hot in the era of big data is that in the early days of enterprise big data application, Hadoop was just ETL for the poor.

Second, Hadoop development

With the increasing scale of data, the data processing cost of traditional BI is too high, and the burden on enterprises is increasing. Hadoop's cheap data processing ability has been re-excavated, and enterprise demand continues to grow. And become a technology that big data talents must master.

Thirdly, the development of visualization tools.

Visual development means that on the graphical user interface provided by visual tools, relevant application software is automatically generated by visual development tools through operating interface elements, and all data can be easily connected across multiple resources and levels. Data visualization used to belong to business intelligence developers, but with the rise of Hadoop, data visualization has become an independent professional skill and post.

Fourth, information architecture development.

Big data reignited the upsurge of master data management. Making full use of enterprise data to support decision-making requires very professional skills. Information architects must know how to define and document key elements to ensure that data is managed and utilized in the most effective way. Key skills of an information architect include master data management, business knowledge and data modeling.

Research on verb (verb's abbreviation) data warehouse

In order to facilitate enterprise decision-making, the data warehouse research position created for analysis report and decision support is a strategic collection of all types of data. Provide business intelligence services for enterprises, guide business process improvement, and monitor time, cost, quality and control.

Sixth, the development of OLAP.

The developer of OLAP online analysis is responsible for extracting data from relational or non-relational data sources to build a model, and then creating a user interface for data access to provide high-performance predefined query functions.

Seven, data science research

Data scientist is a brand-new type of work, which can transform enterprise's data and technology into enterprise's commercial value. With the development of data science, more and more practical work will focus on data, which will enable human beings to understand data and thus understand nature and behavior.

Eight, data prediction and analysis

Marketing departments often use predictive analysis to predict user behavior or target users. Some scenarios of predictive analysis developers seem to be similar to data scientists, that is, testing thresholds and predicting future performance through assumptions based on historical data of enterprises.

Nine, enterprise data management

In order to improve the data quality, enterprises must consider data management and set up the position of data steward. The staff in this position need to be able to use various technical tools to collect a large amount of data around the enterprise, clean and standardize the data, and import the data into the data warehouse to become a usable version.

X. Data security research

Data security positions are mainly responsible for the management of large-scale servers, storage and data security in enterprises, as well as the planning, design and implementation of network and information security projects.