{ "item_title" : "MySQL Blueprint for Beginners", "item_author" : [" Rion Frost "], "item_description" : "A database can accept perfectly valid SQL and still produce unreliable results.Poor table design creates duplication. Weak relationships allow conflicting records. Unsafe updates damage more rows than intended. Excessive privileges expose sensitive information. Missing indexes slow applications, while untested backups provide false confidence.MySQL Blueprint for Beginners gives you a structured, project-based path from an empty server to a secure, application-ready relational system.Instead of teaching isolated commands, this practical guide shows how database design, SQL, security, performance, recovery, and application access work together. Each chapter develops the continuing LocalMarket project-a catalogue and order-management system for a growing retailer.Inside, you'll learn how to: Understand tables, rows, columns, keys, relationships, schemas, clients, and serversInstall and verify a dependable local development environmentCreate limited accounts instead of performing everyday work as an administratorTranslate business requirements into entities, attributes, keys, and relationshipsDesign clear entity-relationship models before creating tablesChoose suitable numeric, text, date, Boolean-style, and JSON typesEnforce required values, uniqueness, ranges, and referential integrityCreate objects in the correct dependency orderInsert, update, and delete records through a preview-first safety workflowRetrieve precise results with filters, sorting, pagination, aliases, and expressionsCalculate summaries with string, numeric, date, conditional, and aggregate functionsCombine related information through inner, outer, self, and multi-table joinsDiagnose duplicated, missing, and unexpectedly multiplied resultsUse subqueries, common table expressions, set operations, and window functionsRank products, calculate running totals, and compare values across periodsNormalize schemas without fragmenting simple concepts unnecessarilyPlan safer migrations, constraint changes, renames, and structural updatesProtect multi-step operations with transactions, savepoints, locks, and rollbackRecognize deadlocks and retry only appropriate transient failuresCreate views, stored procedures, stored functions, triggers, and scheduled eventsApply least privilege and protect credentialsReduce SQL-injection risk through parameterized statementsRead execution plans and add indexes only when evidence supports themCreate logical backups and prove recovery through isolated restorationImport, export, monitor, and maintain stored information responsiblyConnect a Python application through the official connectorManage connection timeouts, TLS verification, CRUD operations, and application transactionsComplete a portfolio-ready relational project with security, performance, recovery, and validation recordsThe explanations are designed for complete beginners, but the working habits reflect professional practice. Readers learn to preview destructive operations, inspect affected-row counts, test constraints with invalid values, measure before optimizing, and restore backups instead of merely assuming they work.No previous SQL or database experience is required. The book is suitable for students, career switchers, junior developers, analysts, technical-support professionals, independent builders, and anyone creating a website, internal tool, catalogue, ordering system, or modest software product.", "item_img_path" : "https://covers3.booksamillion.com/covers/bam/9/79/819/100/9798191009254_b.jpg", "price_data" : { "retail_price" : "18.99", "online_price" : "18.99", "our_price" : "18.99", "club_price" : "18.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

Overview

Customers Also Bought

Details