Learn the necessary skills of big data analysis.
To be a qualified big data analyst, you need to master Linux operating system and shell script; Familiar with data capture, data cleaning (ETL) and data warehouse modeling; There are also Hadoop big data platform architecture, HDFS/HBase/Hive/MapReduce and so on. These are well known. By the way, Mapreduce program development is also a necessary skill!
In addition to technology, you have to understand these.
In addition to the above technologies, big data analysts have to be proficient in database technologies such as MySQL and Oracle; Familiar with distributed storage and NoSQL database technology, such as MonogoDB, Redis, Cassandra, etc. At the same time, you need to have a deep understanding of Hadoop-based big data system, and it is best to have experience in application research and development of related product projects!
The Best Way to Learn Big Data Analysis
Don't be scared by the above content! As long as you choose the right learning method, zero foundation can also become a great god! Participating in professional training is the best way for beginners to learn big data analysis. Professional training allows you to systematically learn big data analysis knowledge and practical project experience to help you master skills quickly!
The road of rookie counterattack
So, dear novices, don't hesitate! Take the first step bravely and join the big family of big data analysis! Let's ride the wind and waves in the ocean of data together and start a new journey! ?