Free collection | 10G big data learning video and detailed tutorial outline

  On the May 4th Youth Day, we will give away great benefits and receive 10G big data learning videos for free! 


  


With the rapid development of the Internet era, big data has been fully integrated into the production and life of modern society, and will greatly change the global economy. Big data is not only a technology, but also a strategic resource.

  Big data is the direction of Internet development, and big data talents are the future high-paying aristocrats. With the shortage of big data talents, the salaries of big data talents are also increasing. The advent of the era of big data has brought huge opportunities and challenges to big data development talents. In order to provide an excellent opportunity for people who are interested in big data development, the editor has also compiled a video tutorial for big data. Curriculum syllabus, two-pronged approach, still worried about not enough system? Still worried about not being able to learn big data technology?

  Big data video tutorial learning outline:

  Stage 1. Start the learning career of big data from the programming language.

  If we want to learn big data technology, we must first learn a programming language. Java has been developed by engineers for more than 20 years and has always been loved by engineers. First, because of the classic Java, and because Java is a great tool for Hadoop development.

  Stage 2, mainly the grasp and learning of front-end knowledge

  PC-side website layout, HTML5+CSS3 foundation, WebApp page layout, native JavaScript interactive function development, Ajax asynchronous interaction, jQuery application

  Stage 3, JavaWeb and Database

  Database, JavaWeb Development Core, JavaWeb Development Insider

  Stage 4, Linux & Hadoopt system

  Linux system, Hadoop offline computing outline, distributed database Hbase, data warehouse Hive, data migration tool Sqoop, Flume distributed log framework

  Stage 5. Actual combat (real projects of first-tier companies)

  Data acquisition, data processing, data analysis, data presentation, data application

  Stage 6. Spark Ecosystem

  Python programming language, Scala programming language, Spark big data processing, Spark-Streaming big data processing, Spark-Mlib machine learning, Spark-GraphX ​​graph computing, combat 1: Spark-based recommendation system (a real project of a front-line company), practical 2 : Sina.com (www.sina.com.cn)

  Stage 7. Storm Ecosystem

  Storm technical architecture system, Storm principle and foundation, message queue kafka, Redis tool, detailed explanation of zookeeper, actual combat 1: log alarm system project, actual combat 2: guess you like the recommendation system actual combat

  Stage 8. Big Data Analysis - AI (Artificial Intelligence)

  Data Analyze Work Environment Preparation & Data Analysis Fundamentals, Data Visualization, Python Machine Learning. 1. Python Machine Learning 2. Image Recognition & Neural Networks, Natural Language Processing & Social Network Processing, Practical Projects: Outdoor Equipment Recognition and Analysis

  Friends, have you got the skills to become a big data engineer? How to get the video tutorial and super detailed outline: comment or private message to leave your contact information and get it directly for free!

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