One, the basic part: JAVA language and LINUX system

Two, data development:

1, data analysis and mining

General work includes data cleansing, perform analysis and data visualization. Learn Python, database, web crawler, data analysis and processing.

Big data training generally refers to big data development training.

Big data technology is huge and complex, and the underlying technology contains a variety of technical categories and different technical aspects such as data collection, data preprocessing, distributed storage, databases, data warehouses, machine learning, parallel computing, visualization, and so on.

2, big data development

data engineer du programmer to build and optimize the system. Learn hadoop, spark, storm, super zhi big cluster tuning, machine learning, Docker container engine, ElasticSearch, concurrent programming, etc.;

Course learning a *** divided into six stages:

3

4

5

6

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