background
When I was in school, I met some friends who were recording some technical content. Later, I also learned from them and learned to record on some platforms.
After coming out to work, the content operation has some direction. I planned to learn big data from the beginning, so the direction of writing is big data AI.
analyze
- Application development: I was not interested when I first entered the industry.
- Game development: When I was young, my father was selling game software. I didn’t play games after junior high school.
- Front end: I feel that the depth is not enough.
- Hardware: At that time, the understanding of hardware was relatively shallow, and I had to buy tools, so I was not very interested.
At that time, I did some analysis when I entered the industry. I thought that I would like to do something with depth, with a wider horizontal direction, and the data direction was more suitable for me. Later, time proved that it was indeed more suitable.
free
I participate in community creation, more for the purpose of learning and summarizing, without doing too much extension, and making progress like an old scalper. I also experienced the wave of knowledge payment at the beginning, which is not suitable for me. I love freedom and open source.
technology choice
Some components of the big data ecosystem are constantly changing with hot spots.
Some examples of AI model training, machine learning, NLP and more.
AI big model.
There are corresponding technical plans and annual plans every year, and then cut goals to achieve.
writing options
- If you don’t write interview questions, I think it’s too low. You can just digest it yourself. When you face the interviewer, you actually meet each other again. If the interviewer thinks you have problems, maybe he has problems himself, so don’t write about it.
- Do not write workplace sharing, many people love to write about this aspect, love to educate others, there is no need, if you really want to do a certain aspect that cannot be controlled by technology, subconsciously choose it, the workplace is just that matter, and the technical boundaries are the same, many Spend energy on the main thing.
- technical analysis
- Open Source Community Analysis
- Speech
Habit
I read books every day, some e-books, such as the column of Geek Time, some foreign materials, GitHub hot list, and some documents around participating in the community. Part paper, some classic books. Take about 3 hours or so.
Every year there is a corresponding reading plan, annual plan, and then cut goals to achieve.
time
The CSDN number (Dlimeng) shows 9 years, but it actually started operating in 2016.
grateful
Thanks to the community friends along the way
about the author
I have been engaged in big data-related work for 9 years, and have done user growth, BI, big data middle platform, knowledge map, AI middle platform, and am good at big data AI related technology stacks. I have output many columns in CSDN. I am a CSDN blog expert and a high-quality creator in the field of CSDN big data. In 2018, I participated in the construction of the WeDataSphere open source community. The community attribute is a data-related comprehensive community. Exchange tool), Streamis (streaming application development management system), Apache Linkis (computing middleware). Individuals initiated the SolidUI data visualization community. Apache Asia 2022 lecturer, Hadoop Meetup 2022 lecturer, WeDataSphere Meetup 2022 lecturer. Apache Linkis Committer , EXIN DPO (Data Protection Officer).
I started working as an independent developer in May 2023. The fundamental reason is that the support of the workplace platform is not enough, and it is still limited. I can’t reach the realm of Linus Benedict Torvalds in the workplace. The direct reason is that Better operate the open source community, promote Chinese open source products to the world, build a cutting-edge technology community, and make SolidUI a popular product in the world.