Advanced SQL

Chapter 1. Evolution of SQL

SQL has had a remarkable impact in the world of technology as it has continuously adapted and evolved for decades. It has shaped the way we model and query data by introducing a declarative approach, in which we specify what data we want, not how we retrieve it.

From the first mainframe databases to modern cloud data warehouses, SQL has remained a constant. It combines solid mathematical foundations with practical developments and has evolved from a simple query language to the core of today’s data-driven industry. Its past, present, and future are closely connected with the history of data itself, and mastering this language remains essential for any data professional.

The evolution of SQL from its beginnings in the 1970s to the SQL:2023 standard shows how a technology can evolve for a long period without losing its core philosophy. Over the years, it has standardized access to data, enabled countless applications and analytics, and spawned an ecosystem of databases that underpins virtually every industry.

With consistency came innovation as SQL always embraced new ideas such as object-oriented data, online analytical processing, XML/JSON data formats, and geographical data. Few languages remain as relevant after half a century, and the combination of theoretical rigor and practical utility has secured SQL’s place at the center of data processing.

Looking to the future, SQL shows no signs of stagnating. Database communities and standards bodies are ...