Slow APIs, laggy dashboards, and expensive query bottlenecks can quietly stall product growth. If your team is juggling transactional workloads, analytics demands, and rising data volume, this book gives you a practical path to faster, safer, and more scalable SQL systems.

Modern SQL for Web Apps & Analytics shows how to design and tune production-grade SQL workflows that power both web applications and business intelligence. You’ll learn how to shape schemas for mixed workloads, optimize query plans, reduce latency with indexing and materialized views, and connect SQL cleanly to REST and GraphQL services. From ETL and data quality checks to KPI alerting and governance, every chapter is focused on real delivery outcomes.

Inside, you’ll build the skills to:

Build high-performance SQL APIs with reliable pagination, filtering, and sorting
Cut query response times using EXPLAIN plans, covering indexes, and partitioning
Model data for both OLTP and analytics without duplicating business logic
Integrate SQL with dashboards and interactive visualizations users can trust
Secure web-facing SQL with parameterized queries, RBAC, and row-level controls
Operationalize pipelines with incremental transformations, observability, and monitoring

Whether you’re a backend developer, data engineer, analytics engineer, or technical lead, this guide helps you ship faster with cleaner SQL architecture, lower query latency, and better decision-ready reporting. If you want modern database performance without sacrificing clarity or control, this is the playbook to keep on your desk.

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