Data structure is a way of organizing and storing data so that it can be used efficiently by our programs. It's like Marie Kondo for data - everything has its place, and if it doesn't spark joy (or efficiency), it gets tossed out.

How to use it in a sentence

• I was trying to optimize my code, but then I realized my data structures were more tangled than the cords behind my desk. Time to refactor!

• "We need to scale this system," the CTO declared, causing the engineering team to collectively groan. They knew it meant long nights ahead, grappling with data structures and algorithms, all while the sales team celebrated their new client acquisition.

If you actually want to learn more...

• Schemaless Data Structures: Martin Fowler dives into the subtleties of schemaless data, discussing its advantages, disadvantages, and its role in the rise of NoSQL databases.

• Data-Driven Domination: How Top Companies Leverage Data for Competitive Advantage: This article illustrates how data, when harnessed effectively, can fuel a company's competitive advantage, even in traditional industries like agriculture.

• Data Guide: In this comprehensive guide, Martin Fowler covers the evolving landscape of data management, from the growth of big (and messy) data to the importance of personal responsibility in data handling.

Note: the Developer Dictionary is in Beta. Please direct feedback to skye@statsig.com.