The content that needs to be learned in big data development includes three parts, namely: basic knowledge of big data, common sense of big data channels, and application of big data scenarios. The common sense of big data mainly has three parts: mathematics, statistics and computers; Common sense of big data channel: it is the foundation of big data development, often based on Hadoop and Spark channel.
Big data has many skills:
The first is the big data channel itself, which generally provides services according to the product layout of some Hadoop products such as CDH. There are many components in the arranged products, such as Honeycomb, HBASE, Spark, city zoo and so on.
The second is ETL, which is the process of data extraction. The raw data in the big data channel generally comes from other trading systems in the company, such as credit and centers in banks. The data of these trading systems are extracted from the trading system to the big data channel every day, and then a series of operations such as standardization and sorting are carried out, and then some models are generated for the lower-level systems to use.
Third, data analysis, what kind of processing should be done according to these data after data collection is completed, such as report application, which may be writing SQL development reports every day; There are also some channels, such as risk monitoring, which should be processed according to the data collected by big data channels.
The above is what Bian Xiao shared with you today about "What do you need to learn in big data development?" I hope the relevant content. Bian Xiao believes that if you want to make achievements in the big data industry, you need to obtain some data analyst certificates with high gold content, which will have more core competitiveness and competitive capital.