We all know, big data engineers need to deal with a large amount of data, as well as with the complexity of the English code contact, math and English skills are needed to have. This makes us a lot of math and English is not very good, but also want to learn big data friends made difficult, do not know poor English math can learn big data, good learning? In this article, we will talk in detail, poor English math can learn big data, good to learn, this topic, the north blue bird to answer the questions in your mind.

1: First of all, to answer you in the affirmative, poor English math, in fact, is able to learn big data. Big data engineers do not need deep math, but the logic should be clear; do not need too much English, but the basic grammar words need to master. Big data can be used in English is very limited, even if you do not have a foundation in English, stay in this industry for a long time, practiced more, the same practice makes perfect, easy to use.

2: a qualified big data engineering, need to be familiar with ActiveMQ, Kafka and other MQ frameworks and protocols; familiar with Mongodb, Hive, Hbase, redis and other NOSQL database development and tuning familiar with graphical databases; familiar with the principles of the JVM, JAVA performance tuning practice; familiar with the distributed open source frameworks and tools such as ZooKeeper, Strom, Spark, Hadoop, Impala and so on.

3: The above technology looks like a lot of complex, in fact, is not so, if you are to participate in professional training courses, then learn this technology is a very easy thing oh! The north blue bird has a lot of poor English math students, they are through the five months of training and learning, can become qualified big data engineers, find their own satisfactory good job!