Big Data is now learning more and more, but you know big data needs to learn what conditions it? I speak from four prerequisites.
Big Data has become a trend in ××× exhibition, many people have a large selection of learning data, you want to enter the big data professional. Huge big data technology system, more knowledge contained in learning the big data system allows you to fully grasp the big data technologies. Big Data learning what needs to grasp the common sense?
1, big data is first learning to learn Java foundation
How big data entry fast learning? Accounting machine must first learn a programming language before school curriculum big data. Java is a programming language foundation learning needs of big data, due to the development of large data according to the usual high-end speech. And whether it is learning hadoop, it is still data mining, there are demand programming language as a foundation. Thus, if you want to learn big data development, grasp the Java foundation is essential.
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2, Big Data learning must learn common sense of large data centers
Hadoop ecosystem; HDFS technology; HBASE technology; Sqoop application processes; data warehousing things HIVE; large offline data analysis Spark, Python language; real-time data analysis Storm; audio subscription distribution system Kafka and so on.
If the data is large compared to the container, then this container capacity is infinite, what can be installed inside, big data can not do without things, mobile Internet, big data and also artificial intelligence, machine learning and cloud accounts with thousands of silk Wan thread link, large data mass data storage to be highly scalable cloud can not be separated accounting, accounting analysis of large data using traditional machine learning, data mining technology will be slower demand made parallel accounting and accounting distributed expansion.
Big Data learning what needs to grasp the common sense?
3, learning ability have large data requirements
Mathematical knowledge, mathematical knowledge is the foundation of common sense data analyst. About the data analyst to understand some of the calculation described in relevant content, there is a certain capacity to account for demand equation, understand the algorithm used in the calculation model. The engineer on excavation data, various algorithms also needs skillful use, the requirements of mathematics is the highest.
Programming language, the students want to learn about big data, demand has at least one programming language, such as SQL, hadoop, hive inquiry, Python can be.
4, large areas of learning data that can be used
Big Data technologies can be used in various fields, such as public security big data, big traffic data, medical data big, big job data, big data environment, large image data, video data, and so large, very wide scale use, big data technology is now like all aspects of air saturated in the same days. Big data technology into the society's will to carry out a high speed, it is not only the ultimate goal of information technology, human society is the driving force to carry out processing center technical intelligence.
Therefore advocates the students want to study large data, the best newspaper classes, learning the theory of large data system can sense, but also in conjunction with the project practice more skillful grasp of Big Data technologies.