Big Data Engineer is one of the hottest positions in 2020, big data technology talent is leading the intelligent revolution of the tide, is the most direct beneficiaries of the intelligent era.

The most core course for big data development is the Hadoop framework, and before learning the technology of big data development engineers, you will generally learn the basic syntax and framework of Java, which is the bridge to big data engineers.

Today, Xi'an Huijie. Ufo Academy introduces you to the learning outline of the big data development course.

Part I java basics: java overview, runtime mechanism, environment configuration, general commands, java identifiers, judgment statements, loop statements and arrays;

Part II J2SE: java classes and objects, memory and heap, etc., Java's overloading, keywords, Object class, java threads;

Third Part of the database and labeling: SQL syntax, PL/SQL syntax, web scripting, server, CSS, Jsp and servlet;

Part IV big data fundamentals and practice: Linux, hadoop distribution installation, MapReduce theory and practice, hadoop environment, Spark and Storm, big data mining and machine learning;

Part V framework: persistence layer framework, spring and framework integration

These are only the approximate framework of big data learning part, which contains a lot of small details.

Learning big data development need to have enough patience, careful, each small knowledge points have its unique role. So here Xi'an Huijie . UFIDA suggests that everyone:

1, during the study period to do a good job of all the notes, the more detailed the better;

2, each technical point should be repeatedly practiced, understood and familiar with until;

3, good at summing up, summarize the knowledge points, summarize the place where they are prone to error;

4, there are problems in a timely manner to figure out, must not be accumulated for the back of the study to bring trouble;

5, all the techniques learned in each chapter, must be combined together, coherent operation practice.

In this technology is advancing by leaps and bounds, big data talent is extremely lack of society, as early as possible to master this technology, as early as possible to master the times wind vane.

Beginning with the blossoming of flowers in spring and ending with the heat of summer. The learning cycle of big data development engineers is generally four months to four and a half months, when the spring bloom began to learn, in the hot summer can be on the job, the workplace will be able to stabilize, through the technology to gradually improve the quality of life, change the life.