Zero-based gold digging large data, high-end large data starting to learn Raiders

Zero-based high-end programmers dug gold Big Data Big Data starting to learn Raiders, big data has become the most popular programming language IT workers for some time! Heat only unabated, regardless of the line outside expert friends are closely watching its movements! I think very unified, no not want paying into the ranks of big data by learning! Zero-based high-paying dream want to achieve through big data, maybe? Learn the Raiders!

Zero-based gold digging large data, high-end large data starting to learn Raiders

 

 

The first step: java foundation.

Starting point for learning must be the start of big data from Java! As we all know, Java is the most widely used programming language! Its many features determines that it is the most appropriate language Big Data application development. After that, Hadoop and other big data processing are also developed by java! Such as Apache, and java-based HBase ElasticSearchas Accumulo and the like. So learning Java is a big learning data in a vital part.

Step two: Linux, Hadoop system.

To undertake the above, we continue to say that big data. Its framework is based on the Linux system, surely we understand it. Therefore, training and development of large data, we need an understanding of the Linux development environment. The Hadoop distributed computing + storage platform that can build large data warehouses, storage PB-level data processing, analysis, statistical and other services, therefore, we must grasp the Hadoop core components, including distributed as an open source distributed file system HDFS, resource scheduling and management of distributed computing systems YARN framework MapReduce.

The third step: distributed computing framework Spark & ​​Storm ecosystem. After a little with the foundation, we need to use Spark large data processing technology, Mlib machine learning, knowledge GraphX ​​map calculation and Strom technology architecture foundation and principles and so on. As the theme stages of learning, Spark unity in terms of performance and programs, it has incomparable superiority! It enables real-time data stream processing, batch and interactive query functions!

Step Four: python

The reason mentioned here Python, I hope the students are able to recognize the fast iteration of Internet technology update speed! We must not stop at the front of some of the popular programming languages! Adapt to market demand, while delving into big data, we need lots of thinking, dynamic tracking circle, circle to grasp the most popular programming techniques, learn to improve self-worth! Programmer here suggest that you, Python can be everyone's first choice extracurricular "books."

Finally, I must say, programmer large class of high-end data, using shaped thinking "T", with great depth of data-based, machine learning and cloud computing as width, your ultimate goal is to develop into a "composite" R & D talent! Us with open arms, we welcome the arrival! Your super easy to zero-based learning method of learning! Identify the road, and more diligent! Tailored learning route, transfiguration old rookie driver! Always have a dream, you are responsible for hard work, we are responsible to help you put the boat to shore!

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Origin blog.csdn.net/chengxvsyu/article/details/91492234