Databases
Databases sit at the core of nearly every application. This hub gathers resources on relational databases, SQL, Oracle administration, data mining techniques, and the data structures that underpin efficient storage and retrieval. Whether you are writing your first query or optimizing production workloads, you will find reading lists and context here to sharpen your skills.
Starter Path
A structured path through data fundamentals, query writing, and database design.
Data & Databases Path →Curated Reading List
Oracle Reading List
Oracle Database administration, PL/SQL programming, performance tuning, and RAC architecture resources.
Data Mining Reading List
From statistical foundations to machine learning pipelines—classification, clustering, association rules, and practical data analysis.
Data Structures and Algorithms Using Visual Basic.NET
Core data structures implemented in VB.NET—arrays, linked lists, trees, graphs, sorting, and searching algorithms.
Google Apps: The Missing Manual
Practical guide to Google's productivity suite—Sheets formulas, Apps Script automation, and data management workflows.
How to Use This Hub
- → Start with relational basics before moving to specialized topics like data mining
- → Oracle resources cover both development and DBA perspectives
- → Data structure fundamentals apply across all database work
- → Cross-reference with Programming Languages for language-specific database integrations