SQL Features: A guide to advanced techniques pdf baixar
por Jose Onias Fernandez Osorio
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Descrição do livro
Chapter 1 – Mastering SQL Indexes
Indexes are the unsung heroes of performance tuning. This chapter reveals the inner workings of different index types—B-trees, bitmap, hash, and composite—and explains how to create and maintain them for optimal performance. You'll learn how and when to use each type, demystify index scans versus seeks, and adopt best practices for index design across large-scale systems.
Chapter 2 – Effective Use of Constraints
Constraints are the guardians of data integrity. Here, we delve into the key elements that ensure your data remains accurate and consistent: primary keys, foreign keys, unique constraints, and check constraints. You’ll discover how to design constraint strategies that support application logic while improving data reliability and minimizing risk.
Chapter 3 – Query Execution Plans
This chapter equips you with the skills to interpret and optimize query execution plans. You’ll investigate how databases transform SQL into execution steps, identify performance bottlenecks, and adjust queries using indexing, joins, and hints. Mastering this chapter means taking command of your SQL’s efficiency.
Chapter 4 – Using Materialized Views
Materialized views are a performance game-changer. You’ll explore how to use them to precompute and store complex query results, reduce computation time, and refresh strategies. Learn how to balance performance gains with data freshness and understand when to use them in OLAP or reporting systems.
Chapter 5 – Regular Expressions
Data cleansing and pattern recognition become far more powerful with regular expressions in your SQL toolkit. This chapter provides hands-on examples of using regex for searching, validating, and transforming string data. Whether you’re spotting bad email addresses or parsing log files, regex makes your SQL smarter.
Chapter 6 – Time-Series Data
Time-series data powers everything from financial forecasts to IoT dashboards. This chapter explores techniques for storing, querying, and analyzing temporal data. You’ll learn how to detect patterns, compare time windows, and write SQL that treats time not as a constraint, but as an analytical advantage.
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