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Anotace knihy

Stop building reports that break. Stop writing SQL that works-until it doesn't.

Every data professional knows the feeling. Your query executes without errors, the numbers look reasonable, and you send it to production. Then the data grows, the joins multiply, and suddenly your "working" query is a performance nightmare that brings the dashboard to a crawl.

Oracle SQL for Data Analytics is the practical guide that bridges the gap between knowing SQL syntax and writing SQL that actually works in the real world. Written for data analysts, SQL developers, and BI professionals who want to move beyond basic queries, this book shows you how to build reliable, maintainable, and production-ready Oracle SQL for enterprise-scale workloads.

What You'll Learn

• Master the fundamentals-write precise SELECT queries that ask for exactly the data you need

• Combine enterprise data-solve multi-table business problems with joins, subqueries, and set operators

• Transform and clean data-handle NULL values, standardize inconsistent data, and build practical cleansing workflows

• Analyze like a pro-use aggregate functions, analytic windows, and common table expressions to build meaningful business metrics

• Tune for performance-understand execution plans, optimize indexes, and rewrite slow SQL using real evidence

• Work with modern data-query and generate JSON, store embeddings, and build AI-ready semantic search with Oracle AI Database 26ai

What Makes This Book Different

Most SQL books teach you syntax. This book teaches you how to think like a professional SQL developer.

Instead of random examples, you'll work with a connected enterprise dataset that grows with your skills. You'll learn a repeatable workflow: understand the requirement → inspect the data → build the query → validate the result → optimize performance. Every technique is demonstrated with realistic business problems-customer intelligence, inventory analysis, data quality, performance tuning, and end-to-end enterprise projects.

Whether you're querying your first Oracle database or preparing for AI-powered workloads, this book gives you the practical skills to solve real data problems with confidence.

Who This Book Is For

• Data analysts who want to write better SQL

• SQL developers building production reports and datasets

• BI professionals transitioning to Oracle

• Developers who need to work with JSON, vectors, and modern Oracle features

• Anyone tired of queries that "almost work"

Stop guessing. Start building SQL that delivers correct results, executes efficiently, and stands up to the demands of enterprise data.

Get your copy today and transform the way you work with Oracle SQL.

Parametry knihy

• Plný název: Oracle SQL for Data Analytics
• Podnázev: Build Reliable Queries, Analyze Enterprise Data, Tune Performance, and Work with Modern Oracle Data
• Autor: Kate Daniel
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 346
• EAN: 9798194251889
• ID: 53611630
• Nakladatelství: Independently published
• Hmotnost: 602 g
• Rozměry: 254 × 178 × 18 mm
• Datum vydání: 22. August 2026

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