Note:
This topic has been translated from a Chinese forum by GPT and might contain errors.
Original topic: 【TiDBer 唠嗑茶话会 32】偷偷了解一下，大家最近都在学什么？
Sneak Peek: What is everyone learning recently? 
Let’s chat together!
Participation Award:
Participation reward: 50 points, 50 experience points
TiDBer Badge Reward:
Top 3 with the most likes will receive a TiDBer badge after accumulating 5 awards
ps. Congratulations 
@ShawnYan @啦啦啦啦啦 for accumulating 10 Top 3 likes awards, @Kongdom for accumulating 9 Top 3 likes awards, @caiyfc @索隆爱喝酒 for accumulating 7 Top 3 likes awards, @TiDBer_杨龟干外公 for accumulating 6 Top 3 likes awards, @mliaukz @TiDBer_pig for accumulating 5 Top 3 likes awards, @hey-hoho @whymalin @TiDBer_徐川 for accumulating 4 Top 3 likes awards, @CuteRay @TiDBer_dog @数据小黑 @yangchao909 @TiDBer_sao游 @半瓶醋仙 for accumulating 3 Top 3 likes awards, @pupillord @Billmay表妹 @lxzkenney @xfworld @HHHHHHULK for accumulating 2 Top 3 likes awards, @TiDBer_jYQINSnf @Hacker_ZdnQFYP1 @Myth @Hi70KG @tidber_桃 @JiekeXu @seiang @孙晨航11 @buddyyuan @张雨齐0720 @forever @边城元元 @dapan3927 @MyronWang @望海崖2084 @xiaohetao @ablewang_xiaobo @TiDBer_KBt2aPzy @langpingtan @LI-ldc @fanruinet @zanmato @xingzhenxiang for accumulating 1 Top 3 likes award.
Event Duration:
2022.7.29-2022.8.5
Let’s chat together:two_hearts:!
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Secretly telling you, I’ve been learning TiFlash recently 
Learn about national affairs:
Sapiens: A Brief History of Humankind 
Learning financial knowledge~
Studying the history of prices
Looking at materials related to Flink.
After watching the official Bilibili TiFlash video and studying the D-tree open-source algorithm, I stayed up for a second night. In a moment of carelessness, I randomly typed on the keyboard and ran it. Well, it crashed. Open-source delivery engineers and internal development engineers feel too stifled when writing code for projects. 1vs? Writing in vain, I’m going to draw instead.
The Clean Architecture, Big Data Architecture
How to survive longer in the IT industry!
Recently, I have been learning and mastering openLooKeng: It is an “out-of-the-box” engine that supports in-situ analysis of any data at any location (including geographically remote data sources). It provides a global view of all data through the SQL 2003 interface. openLooKeng features high availability, automatic scaling, built-in caching, and index support, providing the reliability needed for enterprise workloads.
Secretly telling you, I’ve been learning about enterprise WeChat development and operations recently~
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