We should learn how big data?

For large data learning, a lot of people feel that this technical knowledge to learn, more of a professional instructor needs to know in order to be more efficient learning, so professional lecturers and professors what way is the knowledge of it?

  

Want to draw nutrients in large data field so that they grow and grow. Share direction, sharing first action before the next big data exchange and sharing resources group 870,097,548 , welcome to want to learn, want to switch, and you join the Advanced Learning.

Roughly five stages atmosphere, the following key elements

 

  The first stage: big data base -Java language foundation phase

  The main content of this phase include: Java development reports, the familiar Eclipse development tools, Java language foundation, Java process control, Java string, Java array of classes and objects, classes and digital processing core technology, I / O and reflection, multi-threaded , Swing program and collections, PC terminal site layout, HTML5 + CSS3 basis, WebApp page layout program, native JavaScript function development, Ajax asynchronous interaction, JQuery applications, databases, JavaWeb development of core, JavaWeb development insider.

  The second stage: Linux system -Hadoop ecosystem

  The main content of this phase include: Linux system, Hadoop offline computing outline, distributed database Hbase, data warehouse Hive, data migration tool Sqoop, Flume distributed logging framework.

 

  The third stage: distributed computing framework -Spark & ​​Storm ecosystem

  The contents of this stage include: Scala programming language, Spark big data processing, Spark-Streaming Big Data in real time, Spark-Mlib machine learning Spark-GraphX ​​Figure computing, storm technology architecture system, Storm principle and foundation, message queues kafka, Redis tools, zookeeper explain.

  The fourth stage: big data project combat

  The contents of this stage there are currently most cutting-edge projects, hands-on instructor will guide teaching.

  Fifth stage: Big Data Analytics - direction AI (Artificial Intelligence)

  The contents of this stage include: Python Programming && Data Analyze working environment ready & data analysis based on data visualization, Python machine learning, image recognition && neural networks, natural language processing && social network processing, real project: "outdoor equipment identification analysis" .

  Of course, there are more than just the five stages of learning will be able to find a job paying what seemed almost? Let yourself in the grasp of the relevant big data technology, but also to win a high-paying job!

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Origin www.cnblogs.com/wuxiaoxia888/p/11596972.html