What are the jobs of big data?

Big data work high salary list For job seekers, big data is only one direction of career, while professional work is to decide 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.

With the increasing types and sources of data in 1 ETL R&D enterprises, 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.

2 Hadoop development With the increasing data scale, the data processing cost of traditional BI is too high, which increases the burden on enterprises. 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.

3 Visualization tool development Visualization development means that on the graphical user interface provided by visualization tools, a visualization development tool automatically generates related application software by operating interface elements, and easily connects all data 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.

4 The development of information architecture Big data has re-stimulated 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.

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

6 OLAP development OLAP online online analysis developer, responsible for extracting data from relational or non-relational data sources to build models, and then creating user interfaces for data access, providing high-performance predefined query functions.

7 data science research data scientist is a brand-new type of work, which can transform the data and technology of enterprises into the commercial value of enterprises. 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. 8 data forecasting analysis Marketing departments often use forecasting analysis to predict user behavior or lock in 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.

8 data forecasting analysis Marketing departments often use forecasting analysis to predict user behavior or lock in 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.

Enterprise data management enterprises must consider data management to improve data quality, and need to set up a data housekeeper position for this purpose. The personnel 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.

10 data security research The position of data security is mainly responsible for the management of large-scale servers, storage and data security in enterprises, and the planning, design and implementation of network and information security projects.