What big data needs to learn is as follows:
1, Java programming technology: Java programming technology is the basis of big data learning. If you want to learn big data well, it is essential to master the basics of Java.
2.Linux command: Big data development is usually carried out in the Linux environment. If you want to engage in big data development, you need to master the basic operating commands of Linux.
3.Hadoop: Hadoop is an important framework for big data development, and its core is HDFS and MapReduce. HDFS provides storage for massive data, while MapReduce provides calculation for massive data.
4.Hive: Hive is a data warehouse tool based on Hadoop, which can map structured data files into a database table and provide simple sql query function, and can convert sql statements into MapReduce tasks to run, which is very suitable for statistical analysis of data warehouses. If you are interested, click here to study for free.
For more information about big data, please consult Dana Education. Our institution has been engaged in IT technical training on 19, and has built a TTS8.0 teaching system. 1v 1 inspector, tracking and learning, can communicate at any time if there are any questions. The 26 curriculum systems of institutions are closely related to the needs of enterprises. Enterprise-level projects and courses are interspersed with real projects of large factories, and professional learning plans are formulated according to the talent standards of enterprises, including mainstream hot technologies, to help students learn better. Dana IT training institutions, audition places are snapped up in a limited time.