The Good Tech Companies - Back to Basics: Database Design as Storytelling

Episode Date: January 7, 2026

This story was originally published on HackerNoon at: https://hackernoon.com/back-to-basics-database-design-as-storytelling. Why great database design is really storytelling—and why ignoring relational fundamentals leads to poor performance AI can’t fix. Check more stories related to data-science at: https://hackernoon.com/c/data-science. You can also check exclusive content about #relational-database-modeling, #database-design-best-practices, #data-architecture-fundamentals, #sql-database-design, #chris-date-relational-model, #enterprise-data-engineering, #database-performance-issues, #good-company, and more. This story was written by: @dataops. Learn more about this writer by checking @dataops's about page, and for more stories, please visit hackernoon.com. Database design is more than schemas and tables—it’s storytelling. This piece reframes relational modeling as narrative construction, showing how clear predicates create meaning, why ignoring foundational rules leads to poor performance, and why AI can’t fix broken data structures. Strong databases come from humans who understand the story their data must tell.

This audio is presented by Hacker Noon, where anyone can learn anything about any technology. Back to basics. Database Design is Storytelling by DataObs. Live. Chris State, one of the fathers of the relational model for data management, once told me that all of relational theory is built on predicate calculus. We stack up factual statements until they create a description of reality. In my book, That's a Story.

Humans are all storytellers in one way or another. We adapt storytelling into our daily lives in our daily work. If you are defining a database table and cannot tell the story of the data, you are doing it wrong. A look at the nuts and bolts O'F story telling good stories follow rules. Pixar famously stacks the elements of a story into a formula they call a story spine. Once upon a time and every day, until one day, and because of that, and because of that, until finally, and since that day, one could think of this story spine as the model for good storytelling. Hollywood blockbusters use a similar formula. Following the rules of storytelling is why we

see Woody as a hero rather than junk, Remy as an artist rather than a health code violation, and Nemo is brave, rather than hopeless. There are plenty of opportunities for creativity within this model's rules. Storytellers who internalize the rules of good storytelling are sought after to create new stories and new movies. Some directors, writers, and producers may diverge from these best practices of storytelling to tell stories that do not fit within the standard storytelling model, but films that lack a clear story will flop at the box office every time, even if they're beautifully shot. How we engineer stories with data in the world of technology, like in Hollywood, our stories are not just written down, they are acted upon. We instruct electrons to carve

ruins into structures we define. Other technologists or knowledge workers may refer back to what we've made for years to come. The relational model for data management that Chris Date and Ted Cod defined in the 1960s and 70s solved many problems that had existed prior to its creation. SQL Server, Oracle, Snowflake, Redshift, MySQL, Click House, Cockroach DB, and On and On would not exist without the work of these two gentlemen. Here's an example table referenced from their book, an introduction to database systems. EMP-Hash-E name department hash salary E1 Lopez D 140KE2, Cheng D 142KE3, Finzi D 230KE4 Saito D2-25 kin the abstract. This predicate is defined as employee EMP hash is named E name, works in department department

hash, and earns a salary of salary. In the concrete, we can interpret this to be. Employee E1 is named Lopez, works in department D1, and earns a salary of 40k. It's easy to tell the story of the data this table represents, which is how you know you're doing it right. Why I can't solve your database performance ISSUESI have been brought in time and again to situations where database performance was thought to be poor, only to discover that the data structures the application developers had created completely disregarded decades of well-documented best practice rules that ensure effective storytelling. This is not a problem that AI can solve. If application developers or even business users write the prompts that are text-prepared,

processing and text generation tools use, those tools will generate text that must then be incorporated into actual working code and stable data structures. Unless the people implementing these rules understand them and their rationale, the only thing that will happen is that poorly performing data structures will be created faster. Tools and techniques will only take you so far in telling the story of your enterprise. Whether your role is the architect, developer, engineer, user, or any other title that may arise in the future, you are ultimately responsible for what has persisted, stored, represented, and used to solve future problems. Returning to these best practices, which have been around for decades, will make you a better, more creative builder. This is how you make your mark yes,

you are one small part of an enterprise. Nevertheless, you want to leave your own mark on the world, right? Why are you there, and what good will you do? Whitman asked a similar question in his poem, oh me, oh life. What good amid these, oh me, oh life, the answer for all of us is that you are here, that life exists in identity, that the powerful play goes on, and you may contribute a verse. What story will you decide to tell if you're a snowflake database administrator or data engineer, data ops? Live can help. Get started today. You get 500 minutes free every month. Thank you for listening to this hackernoon story, read by artificial intelligence. hackernoon.com to read, write, learn and publish.