The lecture focuses on deploying and managing databases, particularly for large-scale data storage, contrasting databases with data warehouses, data marts, and data lakes. It explores flat file databases like CSVs, highlighting their limitations in querying and functionality, then transitions to relational databases, emphasizing their built-in querying capabilities and support for data relations. The lecture introduces SQL for structured query language, covering CRUD operations (create, read, update, delete) and declarative querying. It uses SQLite to demonstrate creating tables, importing data, and performing SELECT queries, including functions like COUNT and DISTINCT. The lecture also covers database design, primary and foreign keys, and indexing for performance optimization, and touches on SQL injection risks and NoSQL alternatives.
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