……打标签、层级结构和解析/细分）。沿着这个思路，我觉得有一本书挺有意思，叫《组织纪律》（The Discipline of Organizing），链接：https://berkeley.pressbooks.pub/tdo4p/ 。顺便提一句，William Kent的《数据与现实》（Data and Reality，尤其是前两版）也探讨了更宏观的元问题：如何从人类那种微妙细致的思维转向更为受限的形式化表示（即“地图不等于疆域”）。http://www.bkent.net/Doc/darxrp.htm……
…tagging, hierarchies, and parsing/subdividing). One book I have found interesting along those lines is "The Discipline of Organizing". https://berkeley.pressbooks.pub/tdo4p/ Tangentially, William Kent's "Data and Reality" (the first two editions especially) also explores the larger meta-issues of moving from human-ish nuanced thinking to more limited formal representations (i.e. "The map is not the territory"). http://www.bkent.net/Doc/darxrp.htm…
("Data and Reality")[https://www.goodreads.com/book/show/1753248.Data_and_Reality] - despite its age (written before SQL was mainstream) it remains a short, accessible read that lays out how to think about modeling an information…
……以关系模型为例，但它们在多大程度上强制执行逻辑完整性，还是把内部细节暴露出来任人瞎折腾，各家做法大相径庭（坦白讲，所有的RDBMS都这副德行）。William Kent 1978年的那本《数据与现实》（Data and Reality）是一本极好的读物，能让你抛开具体用的是RDBMS还是非关系型数据库，站在通用的角度去思考数据建模和完整性问题。他指出了某些逻辑概念具有普适性……
…case of the relational model, but they all vary to the extent under which they enforce logical integrity vs. exposing the innards to muck with (same with all RDBMS' frankly). William Kent's 1978 book _Data and Reality_ is a great read to think of data modeling and integrity issues generically, irrespective of whether you use an RDBMS or a non-relational database. He highlights certain logical concepts as universal…
……(https://clojure.org/about/state#_working_models_and_identity) -> “身份（Identity）是我们用来将连续性强加于一个世界的思维工具，而这个世界在功能上正不断创造着自我的新价值。” 那本经久不衰的书《数据与现实》（Data and reality）同样也是无价之宝：https://www.amazon.com/Data-Reality-Perspective-Perceiving-I.... 具体回到这篇文章，我确实赞同作者的观点，区分了通过……进行的访问
…(https://clojure.org/about/state#_working_models_and_identity) -> "Identities are mental tools we use to superimpose continuity on a world which is constantly, functionally, creating new values of itself." The timeless book "Data and reality" is also priceless: https://www.amazon.com/Data-Reality-Perspective-Perceiving-I.... More specifically concerning the article, I do agree with the point of view of the author distinguishing access by…
…Pearls, which is the clearest explanation of solving the actual problem needed; when I say "software engineering", PP is what I mean. William Kent, author of Data & Reality https://mdhughes.tech/2017/07/19/data-and-reality-william-ke... Kent Beck, author of Extreme Programming Explained, for making good engineering practices "go to 11".
Data & Reality (Kent, 1978)
https://www.goodreads.com/book/show/19305264-data-and-realit...
164 pages. This book has had a bigger impact on my professional work than any other.
tl; dr: Any description of reality is subjective, which means that no data model can be an objectively correct description of reality. The book presents methods for reasoning about data in spite of this.
……打标签、层级结构和解析/细分）。沿着这个思路，我觉得有一本书挺有意思，叫《组织纪律》（The Discipline of Organizing），链接：https://berkeley.pressbooks.pub/tdo4p/ 。顺便提一句，William Kent的《数据与现实》（Data and Reality，尤其是前两版）也探讨了更宏观的元问题：如何从人类那种微妙细致的思维转向更为受限的形式化表示（即“地图不等于疆域”）。http://www.bkent.net/Doc/darxrp.htm……
…tagging, hierarchies, and parsing/subdividing). One book I have found interesting along those lines is "The Discipline of Organizing". https://berkeley.pressbooks.pub/tdo4p/ Tangentially, William Kent's "Data and Reality" (the first two editions especially) also explores the larger meta-issues of moving from human-ish nuanced thinking to more limited formal representations (i.e. "The map is not the territory"). http://www.bkent.net/Doc/darxrp.htm…
（《数据与现实》）[https://www.goodreads.com/book/show/1753248.Data_and_Reality]——尽管年代久远（写于SQL成为主流之前），但它依然是一本篇幅不长、通俗易懂的读物，清晰阐述了该如何去思考对信息进行建模……
("Data and Reality")[https://www.goodreads.com/book/show/1753248.Data_and_Reality] - despite its age (written before SQL was mainstream) it remains a short, accessible read that lays out how to think about modeling an information…
……以关系模型为例，但它们在多大程度上强制执行逻辑完整性，还是把内部细节暴露出来任人瞎折腾，各家做法大相径庭（坦白讲，所有的RDBMS都这副德行）。William Kent 1978年的那本《数据与现实》（Data and Reality）是一本极好的读物，能让你抛开具体用的是RDBMS还是非关系型数据库，站在通用的角度去思考数据建模和完整性问题。他指出了某些逻辑概念具有普适性……
…case of the relational model, but they all vary to the extent under which they enforce logical integrity vs. exposing the innards to muck with (same with all RDBMS' frankly). William Kent's 1978 book _Data and Reality_ is a great read to think of data modeling and integrity issues generically, irrespective of whether you use an RDBMS or a non-relational database. He highlights certain logical concepts as universal…
……(https://clojure.org/about/state#_working_models_and_identity) -> “身份（Identity）是我们用来将连续性强加于一个世界的思维工具，而这个世界在功能上正不断创造着自我的新价值。” 那本经久不衰的书《数据与现实》（Data and reality）同样也是无价之宝：https://www.amazon.com/Data-Reality-Perspective-Perceiving-I.... 具体回到这篇文章，我确实赞同作者的观点，区分了通过……进行的访问
…(https://clojure.org/about/state#_working_models_and_identity) -> "Identities are mental tools we use to superimpose continuity on a world which is constantly, functionally, creating new values of itself." The timeless book "Data and reality" is also priceless: https://www.amazon.com/Data-Reality-Perspective-Perceiving-I.... More specifically concerning the article, I do agree with the point of view of the author distinguishing access by…
……《编程珠玑》（Programming Pearls），它把解决实际所需问题解释得最透彻；每当我说“软件工程”时，指的就是PP那样的。William Kent，《数据与现实》（Data & Reality）的作者 https://mdhughes.tech/2017/07/19/data-and-reality-william-ke... 还有Kent Beck，《解析极限编程》（Extreme Programming Explained）的作者，把优秀的工程实践“推到了极致（go to 11）”。
…Pearls, which is the clearest explanation of solving the actual problem needed; when I say "software engineering", PP is what I mean. William Kent, author of Data & Reality https://mdhughes.tech/2017/07/19/data-and-reality-william-ke... Kent Beck, author of Extreme Programming Explained, for making good engineering practices "go to 11".
《数据与现实》（Data & Reality，Kent，1978年） https://www.goodreads.com/book/show/19305264-data-and-realit... 全书164页。这本书对我的职业生涯造成的影响超过了其他任何一本书。 太长不看版（tl;dr）：对现实的任何描述都是主观的，这意味着没有任何数据模型能成为对现实客观正确的描述。尽管如此，这本书依然提出了对数据进行推演思考的方法。
Data & Reality (Kent, 1978) https://www.goodreads.com/book/show/19305264-data-and-realit... 164 pages. This book has had a bigger impact on my professional work than any other. tl; dr: Any description of reality is subjective, which means that no data model can be an objectively correct description of reality. The book presents methods for reasoning about data in spite of this.