Quoting a quote from a friend in the circle: 1984 should be your big brother, the work is late, when you understand it, the window of opportunity has passed. Programmers are in the golden age for the 10 years between 22-32 years old. If they don't go well, they will basically be abandoned afterwards. So old folks, think more when you are young, and communicate more with people who come over.
Although there is no way to go in vain in life, the new year will come, and the old knowledge will be there. People's worth is there. No matter how hard you are, you will not get a better offer.
This kind of job-hopping is actually meaningless. In my opinion, only when wages achieve explosive growth or enter an industry with absolute potential can they be regarded as a real job-hopping.
Some people may ask, it’s the Internet winter now, where is such an opportunity?
You know, crisis coexists with opportunity . As long as you have enough vision and can see the future vents, to borrow Lei Jun's words: standing on the vent, pigs will fly.
Big data is the next hot IT discipline of the era, and the market is very hot. Whether it is a large company such as Alibaba and Baidu, or small and medium-sized enterprises, it attaches great importance to it. It is even the first technology to be included in the national strategy, and the government supports it. , A lot of support!
Faced with such an environment, big data-related positions have high salaries and good job prospects.
Therefore, it has attracted a large number of people with lofty ideals who want to study and engage in big data related work.
So, what is the prospect of big data employment?
1 : Big data talent demand and current situation analysis
As the country attaches great importance to big data and the government supports big data, big data takes root and blossoms in enterprises. By 2020, based on the development of big data development, computational analysis storage, data mining, data analysis and other data industries, my country needs more big data talents.
The most intuitive phenomenon brought about by the shortage of talents is the increase in salary.
Currently, the monthly salary of a large data easily over a million engineers, a few years of work experience in big data engineers pay 400,000 to 800,000 between per month, and more top talent big data technology is easy to annual salary of over one million .
High salary, as long as you dare to think, dare to pay, and are afraid of high salary, isn’t the person yourself?
Two : Transform the people who are suitable for big data
1、Java
Java programming is the foundation of big data development, an essential skill in big data programming!
2、Python
Python is often supported in big data processing frameworks.
3. Linux operation and maintenance
Enterprise big data development is often done under the Linux operating system. Therefore, if you want to engage in big data-related work, you need to master the Linux system operating methods and related commands.
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.
5、Hadoop和Hive
Hadoop is slower than some other processing tools, but it is surprisingly accurate, so it is widely used for back-end analysis.
6. Kafka
Kafka is a high-throughput distributed publish-subscribe messaging system that can process all action flow data in consumer-scale websites.
7. Spark
Spark is a fast and universal computing engine designed for large-scale data processing, and it has the advantages of Hadoop MapReduce.
Technically speaking, in fact, as long as a basic programmer transforms into big data, there is a natural advanced advantage , even if you have not learned the above language to get started with Hadoop.
Three : 6 hot directions for big data development and employment
What are the jobs that big data technology professionals can do? Common food manufacturing, retail e-commerce, medical manufacturing, traffic inspection, etc.
Talents are mainly divided into three categories: big data system research and development, big data application development, and big data analysis.
Popular positions include:
1. Big data system architect
2. Big data system analyst
3. Big data development engineer.
4. Data Analyst
5. Data mining engineer
6. Big data visualization engineer
The age of big data development has a relatively small impact. The longer you live in the big data industry, the more certain your experience will be. Faced with such a bright and tempting prospect, the visionary has already arranged a way for himself.
How to study together, are there free materials?
The above is the big data technology map I collected and summarized. Because I like technology, I have collected some big data technology materials such as Hadoop, Spark, Flink, source code analysis and kafka. If you are also interested in technology, you can come to my big data For the community ( 8-1-3-3-8-3-8-2-7 ), you can download the learning materials. Welcome everyone to join the group to discuss and learn.