1 big data professional what courses big data professional one, programming language courses
To learn big data technology, first of all to master a basic programming language. java programming language is the most widely used, so the employment opportunities will be more, Python programming language is the high-speed promotion of the application of the study of Python will also have a lot of employment direction.
Big data major two, Linux courses
Learning big data must master a certain Linux technical knowledge, do not require the technical level to reach the employment level, but must master the basic operation of the Linux system, to be able to deal with the actual work of the relevant issues encountered.
Big Data Major III, SQL courses
Big Data is characterized by a large amount of data, so one of the core of Big Data is data storage. So big data work on the database requirements are very high, and even many companies set up a separate database development engineer.
Big Data Major IV, Hadoop Course
Hadoop is the basic framework for distributed systems to process data in a reliable, efficient, and scalable way.Hadoop has the advantages of high reliability, scalability, efficiency, fault tolerance, and low cost, which is the necessary knowledge for working on big data related jobs.
Big Data Professional V. Spark course
Spark is a fast and versatile computing engine designed specifically for large-scale data processing, which can be used to complete a variety of operations, including SQL querying, text processing, machine learning and so on.
Big Data Major VI, Machine Learning Courses
Machine learning is the core technology in the field of artificial intelligence at present, and it is also widely used in big data majors. Machine learning plays a very important role in the development of algorithms and automation, and can greatly expand their career direction.
What is the job outlook for big data majors
Big data majors have a broad employment outlook. The employment direction is big data development direction: involving positions such as big data engineers, big data maintenance engineers, big data research and development engineers, big data architects and so on;
Data mining, data analysis and machine learning direction: involving positions such as big data analysts, big data senior engineers, big data analysts, big data analysts, big data analysts, experts, big data mining, big data algorithms, and so on;
Big data operation and cloud computing direction: the big data analytics and cloud computing direction is a very good one.
Big data operation and cloud computing direction: involving positions such as big data operation and maintenance engineers;
This, data mining, data analysis is the easiest to get started, but also a piece of the largest gap in the development of the direction of talent.