Is big data easy to learn?

What capabilities do big data engineers need? ?

Mathematics and statistics related background;

Computer coding ability;

Knowledge of specific application fields or industries.

The role of big data engineers is very important, because big data can only generate value if it is combined with applications in specific fields.

Therefore, experience in one or more vertical industries can accumulate industry knowledge for candidates, which is very helpful for becoming a big data engineer in the future, so this is also a convincing plus item when applying for this position.

There are many skills related to big data. According to the data itself, it can be divided into five categories: data acquisition, data processing, data analysis, data storage and data mining.

Data acquisition: log acquisition recorder, sink and crawler, etc.

Data processing: Storm for streaming computing, Spark Streaming, Hadoop, and message queues, such as Kafka.

Data analysis: HIVE, SPARK, basic algorithm, data structure, etc.

Data storage: HDFS and so on;

Data mining: machine learning related algorithms, clustering, time series, recommendation system, regression analysis, text mining, Bayesian classification, neural network, etc.

I hope it helps you! ~