Shulou(Shulou.com)06/03 Report--

The people suitable for the transformation of big data

1 、 Java

Java programming is the basis of big data's development. Many technologies in big data are written in Java, such as Hadoop, Spark, mapreduce and so on. Therefore, if you want to learn big data well, Java programming is a necessary skill!

2 、 Python

Python is often supported in the big data processing framework.

3. Linux operation and maintenance

The development of enterprise big data is often completed under the Linux operating system, therefore, if you want to work related to big data, you need to master the operating methods and related commands of the Linux system.

Here I still want to recommend the big data Learning Exchange Group I built myself: 529867072, all of them are developed by big data. If you are studying big data, the editor welcomes you to join us. Everyone is a software development party. Irregularly share practical information (only related to big data software development), including the latest big data advanced materials and advanced development tutorials sorted out by myself. Welcome to join us if you want to go deep into big data.

4 、 Zookeeper

ZooKeeper is a distributed, open source distributed application coordination service, an open source implementation of Google's Chubby, and an important component of Hadoop and Hbase. It is a software that provides consistency services for distributed applications, including configuration maintenance, domain name services, distributed synchronization, group services and so on.

5 、 R

R language has become the darling of data science.

6. Hadoop and Hive

Hadoop is slower than some other processing tools, but it is surprisingly accurate, so it is widely used in back-end analysis. It works well in pairs with Hive--, a query-based framework that runs on top.

7.

Kafka

Kafka is a high-throughput distributed publish and subscribe messaging system, which can handle all action flow data in consumer-scale websites, unify online and offline message processing through Hadoop's parallel loading mechanism, and provide real-time messages through clusters.

8.

Spark

Spark is a fast and general computing engine specially designed for large-scale data processing, which has the advantages of Hadoop MapReduce, but unlike MapReduce, the intermediate output of Job can be saved in memory, so it is no longer necessary to read and write HDFS, so Spark can be better applied to MapReduce algorithms that need iteration, such as data mining and machine learning. Big data Learning Exchange Group: 529867072

Technically speaking, as long as there is some basic programmer transformation big data has a natural advanced advantage, even if you have not learned the above language to use Hadoop is OK.

Third, big data develops the direction of employment

Big data, as a basic science, has core technology and job requirements in the fields of data development and analysis, Internet of things and artificial intelligence algorithm training, so what are the corresponding jobs in the development direction?

Direction ❶: big data engineer, big data development engineer, big data maintenance engineer, big data R & D engineer, big data architect, etc.

Direction ❷: big data analyst, big data senior engineer, big data analyst expert, big data digger, big data arithmetic master, etc.

Direction ❸: big data, operation and maintenance engineer, etc.

Big data develops this piece of age influence is relatively small, because big data is not a simple programming, the weight of programming is less than 1max 6, very often you need to analyze and solve problems from server, storage, computing, operation and maintenance and other aspects.

The longer he lives in big data's industry, the more his experience will be recognized, which is why most senior IT people analyze big data or bring 50-or 60-year-old "old" experts.

In the face of such a bright and attractive prospect, people with foresight have already arranged a way back for themselves.

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