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I am engaged in big data research and development related positions, and I participated in the offline class of Jose on New Year's Day, and the three-day course gained a lot. I listened to a lot of cases on the production line and the pits in the production environment, which provided new ideas for optimizing the company's production environment. The speaker made an in-depth analysis of the Spark source code, explained the production application of SQL on HBase, and introduced some easy-to-use monitoring functions at the cluster operation and maintenance level.
Optimize clusters, jobs, and bugs to the Apache community from the perspective of source code. If you want to engage in big data development-related work, you will have a great gain from participating in offline training.
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I was fortunate to participate in the four-day offline class of Ruoze Data National Day, and learned a lot of ideas and precautions about big data production practices, and the course content was very good. Ruo Lao's analysis and application of the batch concept, the architectural evolution of Brother J's real-time data warehouse, etc., have benefited me a lot. Since I was not engaged in the related work of big data development before, I thought very briefly about the important issues considered in the process of big data development, such as idempotency, zero data loss, etc., and after this offline work, I have more in-depth thinking and have a certain ability to solve these problems.
Thanks to Jose Data, it provides an opportunity to more easily cross the threshold of switching to big data development.
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My fate with Jose data is that I first bought and watched some **, I feel that if the old talk is very good (about this, everyone feels for themselves, you can buy ** first, good and bad are clear in your heart), and then, I went to work offline, I was in Tianjin, I wanted to change jobs, and then the project experience was not enough, so I went to work offline, which lasted three days, and talked about a lot of things, including the project, which is really difficult to understand, very deep, and needs to take time to digest slowly, after all, you can't become a fat person in one bite, haha!! When I come back, I will reproduce what I have talked about, review it well, this depends on the individual, and after the review, I will go to Beijing to find a job. Rest assured, review well, finding a good job is not a problem, and then it has been following the pace of Ruo Lao, the most important thing is that the teacher is on the job, I applied for the senior class, a study is more than five months, now the system is finished, and yesterday if the old gave me a resume, thank you Ruo Lao for pointing out the problems in my resume, after the New Year, jump ship, come on!!
Don't ask me who I am, I'm a flathead...
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I have experienced 3 offline shifts in the data production project, and each time there is a new project, I have a new experience every time. Because the teacher is on the job, the PPT on the Internet can't be compared with the production experience at all. What I like most is that the teacher will talk about the pitfalls he has experienced in the production environment and the whole process of solving this problem.
If you are not lazy and follow the production project to achieve it, the progress will definitely be rapid. After experiencing growth, combined with interview guidance, in front of the interviewer, my heart is more steady.
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I was fortunate to participate in the offline work on New Year's Day, the production project was explained from shallow to deep, the solution ideas of many pain points were very novel, and the design of the project process was also very ingenious, which made people shine, and the offline project really expanded my horizons. Knowledge learning is one thing, I think it is a blessing to be able to get to know friends from all over the world after work, and the process of communication has made me have a clearer understanding of future development and planning. In the new year, I hope that Jose big data can do better and better.
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I'm from the National Day issue. The first time I experienced the cluster of 200G memory resources, I finally understood the real atmosphere of the enterprise. In fact, offline classes don't need to be really knocked by hand, and they don't explain much**, but they explain the ideas in great detail, and the ideas are very important, because everyone can write.
For those who have no project experience, it is necessary to listen to it once. Because there are a lot of pits and points, it will be explained more thoroughly.
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On New Year's Day, I participated in the offline class of Jose, and the three-day course was very rewarding. The teacher will be full of production cases and pits in the production environment, which provides new ideas for the company's production environment optimization. The teacher made an in-depth analysis of the Spark source code, and explained the application of SQL on HBase in the production environment.
It involves tuning clusters from the perspective of source code, tuning jobs, and submitting bugs to the Apache community.
The teachers of Jose Data are all from enterprises, and Jose Data is definitely a training institution with a conscience.
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It is not an exaggeration to describe the offline class as full of dry goods, a study class that is worth participating in, will be of a lot of help to the development of thinking and the improvement of project experience, I have been there twice, and the content and focus will be different each time, if you want to change the direction of big data, it is a good choice.
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Qingming participated in the offline class of Jose data, and the three-day course gained a lot. I talked about a lot of production failure cases and pits, as well as the tuning strategies of various postures, zero loss of data, and delayed processing of data. In short, the knowledge points are very rich.
The practical operation on the computer is another highlight, which deepens the impression and improves the practical ability. The teachers of Jose Data are all employed in the enterprise, believe in Jose, yes!!
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The project is very careful in combination with the actual production, including the project background, project architecture, pitfalls encountered in the implementation of the project, solutions, data volume, machine configuration, and most importantly, how to guide everyone to solve the problem and how to design ingeniously. In short, it is full of dry goods, and it has not been fully absorbed until now. It is worth it for students who lack project experience.
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I went there once on New Year's Day, and the harvest was very big. Offline will talk about one offline analysis and one real-time data warehouse two projects. But let's talk about production projects.
The biggest gain from going offline is that in real production, the process is just a trail, and the real core is in the fault tolerance and data monitoring of zero data loss, which is the most concerned place in production. Putting aside technology, those who are engaged in big data can take a look at a large cluster of 8500 cores + more than 10 tons to do one thing, which can be regarded as a long insight.
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The reproduction of offline work projects is very important, and the foundation will not be too much, but they are all used in work, and they can be used directly, which is very good, mainly about ideas.
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I am more curious about the gameplay routine of Internet big data, so I went to participate in the offline work of Jose Data on National Day, from the overall architecture to the details of each link, so that I can play the project from vague and hazy to gradually clear, with this clear shadow, I believe that I can absorb it through practice, especially the offline class has a variety of pits and various solutions to share, can learn how to deal with difficult problems and a variety of thinking angles, etc. It's a worthwhile trip.
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If the old lectures pay attention to efficiency, the concept of time is very strong, the research on the source code is also quite in place, are the insights in production, offline classes, the amount of knowledge is very large, to be fully prepared, if the old do not need to prepare for the class now, directly speaking, the key is to interlock, the source code and the official website can be understood dismantling, can make Xiaobai grow step by step, but the key depends on their own efforts, looking forward to you joining José data.
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New Year's Day Ruoze data offline class: The projects all come from the teacher's production practice, directly hitting the pain points of enterprise production. The teacher will take you step by step to analyze the process of the project, from shallow to deep, so that students can understand the process.
If you can participate in the basic class and the advanced version, it will be of great help to understand the project. This training was very rewarding, thank you very much for the data.
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Although I have learned the content of big data before, I have not done a project on big data, and I do not have a clear understanding of the context and details of big data projects. During the interview last year, I couldn't answer many questions, or answered unsatisfactory, such as the project structure, the details of ETL, the Spark job submission process and optimization, and the data skew. After listening to this Dragon Boat Festival offline class, I have a certain understanding of the project architecture, project process, from data collection, storage, data cleaning, and data storage details, especially the details of data tilt and optimization, and know a lot of pain points in production.
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Very rewarding, real production environment, the project is also very real, definitely not a demo level project.
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The four-day class is all dry goods in production, there are ingenious ways to solve some practical problems in production, there are also real failure cases encountered in production, and some feasible solutions at the architecture level, and the knowledge points are very intensive; The teacher's lecture ideas are clear, and he can explain carefully line by line; Another highlight is the practical operation on the computer that simulates the production environment, and immediately practices after listening to it to increase the practical experience. I feel that I have gained a lot from the courses in the past few days, but my foundation is still shallow, and I still need to digest it slowly and call the teachers
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Been there. In the course, we talked about some problems and solutions encountered in production, and we knew that we were talking about real projects. A very comprehensive project.
The solutions to the problems are all production best practices, which are of great help in practice, and the most important thing is to be able to learn how to solve the problem.
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I was fortunate to participate in the offline class on New Year's Day, three days and two nights of courses, two projects + three topics to share, all of which were production projects, and I was full of harvest. The teacher's lecture ideas are clear, humorous, and there is no urine point in the whole process. After class, there is also a cloud host with 200G memory to simulate the production environment for practice and project reproduction, which is definitely worth visiting.
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There is a lot of content, all of which are actual projects and data in production, if the old and brother j will tell us that they are in the work, the pain points of development and architecture, so that I can understand, the solution ideas they encounter problems, let me open my eyes, three days and two nights of study, and their like-minded friends to study together, plus the company of Ruo Lao and Mr. J, the harvest is full But there is a lot of content, and the follow-up digestion process is needed, and it is worth it this time. Come on, Jose Data!
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The teacher talked about the actual production projects, all kinds of pitfalls encountered in production, and all kinds of precautions, which are very rewarding for people who need to go further. Lack of personal ability, unable to absorb all the dry goods taught by the teacher, resulting in standing on the shoulders of giants and not allowing themselves to see further, which is the most embarrassing. I hope that all of you can work hard to reach a higher level.
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There are a lot of content in the project, all of which are projects produced by our own company, and the various problems and solutions encountered in the project are very detailed, and the content of the project structure is very valuable to be quoted to our own company. The knowledge points taught are a bit many and complicated, and my own thinking is a little unable to keep up with the rhythm of the teacher. To be honest, there is a lot of content in three days, and you need to digest it yourself.
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The project is very careful in combination with the actual situation, and at the same time, it is very good for the difficult pain points of the project and the architecture of the project iteration, and it will also guide everyone to think about how to check and troubleshoot, and think about upgrading. I feel full of dry goods, and I haven't fully absorbed it until now. At the end of the day, I feel that it is worth participating for students who lack project experience.
At the same time, the offline interaction J Brother Zege is very powerful, and the problems you don't understand will be solved for you, and it is worth making friends with them.
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In three days, although there are not a lot of things, they are all projects that need to be reviewed very, very much, and the project is very careful in combination with the actual production, including the project background, project architecture, project implementation pits, solutions, data volume, machine configuration, and most importantly, how to guide everyone to solve problems and how to design ingeniously. After these three days, I can basically reproduce it when I go back, and I can once again deeply understand the leap brought by these three days. With these projects, there is no problem in going to different units.
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To tell the truth, I have been there twice, each time the experience is different, it helps me a lot, there are many ideas to subvert my own cognition, but I need to digest it myself, figure it out in order to understand the mystery, in the lecture meticulously did not let go of every pit in production, but also taught people to fish, gave a lot of inspiration, and helped me a lot.
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Recently, I participated in Jose's offline training, and there are two major features, one is to clarify the structure of the entire actual production project, and the other is to have a lot of content to expand horizons. Finally, it is important to note that it takes time to reproduce the whole process slowly.
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Speaking of the most realistic, from not finding a job to offline work for 3 days, and then a few days to find an offer, although my salary is not high, but it has something to do with the personal foundation, I will participate in the advanced class next, continue to improve myself, thank you Jose data!!
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Qingming Festival 3 days and 2 nights, full of dry goods, demo-level things and real production things are not at the same level at all, the harvest is great, after coming back, I reviewed it a few times, and then slowly and fully understood the content of the class, a word, value.
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