Advanced SQL

SQL Evolution and Modern Data Solutions

SQL has evolved from a querying language for relational databases to a foundational tool for building scalable, modern data solutions across real-time analytics, machine learning workflows, and even generative AI applications. Advanced SQL moves beyond SELECT statements and taps into the full power of SQL as a programming interface for today's most advanced data platforms.

Authors and Practical Guidance

Written by seasoned data experts Rui Machado, Helder Russa, and Pedro Esmeriz, this practical guide explores the role of SQL in streaming architectures (like Apache Kafka and Flink), data lake ecosystems, cloud data warehouses, and ML pipelines. Data and analytics engineers, analysts, and scientists will get hands-on guidance on expanding their SQL skills into emerging workflows and real-world production systems.

Key Applications of SQL

Use SQL to design and deploy modern, end-to-end data architectures

Integrate SQL with data lakes, stream processing, and cloud platforms

Apply SQL in feature engineering and ML model deployment

Master pipe syntax and other advanced query features

Leverage SQL to build GenAI-ready data applications and pipelines