What are big data technologies?

Big data technologies include:

1. Basic stage of big data

Technologies that need to be mastered in the basic stage of big data include: Linux, Docker, KVM , MySQL basics, Oracle basics, MongoDB, redis, etc.;

2. Big data storage stage

The technologies that need to be mastered in the big data storage stage include: hbase, hive, sqoop, etc.;

3. Big data architecture design stage

The technologies that need to be mastered in the big data architecture design stage include: Flume distributed, Zookeeper, Kafka, etc.;

4. Big data real-time calculation stage

Technologies that need to be mastered in the real-time computing stage of big data include: Mahout, Spark, storm, etc.;

5. Big data data collection stage

Things that need to be mastered in the big data data collection stage Technologies include: Python, Scala;

6. Big Data Business Practical Phase

The technologies that need to be mastered in the big data business phase include: practical enterprise big data processing business scenarios, analysis needs, and solutions Plan implementation and practical application of comprehensive technologies.

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