数据管理

Data is a massively valuable asset for businesses today, and data management is the process by which this resource is collected, organized, stored, and accessed. Data management and proper data integration is thus a critical part of IT systems, as it informs operational decision-making and strategic planning at the highest levels of an organization.

Database administration via database management systems (DBMS) is one of the chief responsibilities for professionals in this field, which must be effectively integrated with data pipelines, data warehouses, and other data infrastructure that collects, cleans, and delivers data at scale. Data managers are also increasingly responsible for data governance, ensuring data privacy and data protection in compliance with corporate policies as well as regulations such as GDPR.‎

Data management professionals can come from diverse educational backgrounds, such as computer science, business administration, or mathematics and statistics. Their most important skills are organizational and interpersonal; they need to be able to methodically collect, organize, and analyze large datasets while also communicating their relevance to both technical (i.e. data engineers) and non-technical (i.e. C-suite decision-makers) audiences.

Data managers also need strong computer science skills. That includes proficiency in programming languages such as Python and Java, database systems such as SQL and NoSQL, and operating systems such as UNIX and LINUX. As more and more business computer services move to the cloud, data management professionals increasingly must know how to work with cloud computing platforms like Azure, IBM Cloud, and Google Cloud.‎

In today's era of big data, data management careers are a big opportunity for growth. For example, according to the Bureau of Labor Statistics, database administrators had a median annual salary of $90,070 in 2018, and these jobs are expected to grow by 9% over the next decade - faster than the average for the economy overall.

There are a wide range of roles using data management skills besides database administrator. Businesses may hire specifically for data managers, data management specialists, and IT project managers to build and maintain their data systems. On the more technical side, data scientists and data engineers are responsible for building the data infrastructure needed to collect large datasets efficiently. And data mining analysts, operations analysts, and systems analysts use their expertise to turn these datasets into actionable business insights.‎