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SQLite Edition

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    Details

    Release Info

    Building an embedded solution and require an SQL engine with a tiny footprint? Look no further than SQLite to supply your Application with SQL-competency. Sans 'bells-and-whistles', SQLite drives straight to the point, enabling your Applications and Services rapidly and efficiently.

    Release Syllabus

    SQLite RDBMS Administration

    Intro to SQLite - RDBMS - Usage - Administration

    • Introduction - SQLite - Features
      • Discuss features and benefits
      • Identify installation footprint
      • Contrast SQLite with Client | Server RDBMSs
      • Discuss pros and cons of facility
      • Explore environment
    •  
    • SQLite Terminal Monitor Client
      • Pinpoint key invocation options
      • Enter SQLite Terminal Monitor
      • Contrast with MySQL Terminal Monitor
      • Expose RDBMS structure
      • Explore default schema
      • Create sample DBs with sample Table structures
      • Use various terminal features accordingly
      • Evaluate results
    •  
    • Data Types | Manifest Typing
      • Discuss features and benefits
      • Implement various Redirects
      • Trace behavior in appropriate logs
      • Contrast Redirects and other forms of URL Handling
    •  
    • Data Transportation
      • Highlight useful features
      • Consider transportation scenarios
      • Export data to a variety of formats
      • Import data from various sources
      • Ensure target DBMS configuration
      • Dump to MySQL and evaluate
      • Import from MySQL accordingly
      • Consider implications of pure SQL transports
    •  
    • SQLite - Bits and Bobs - Miscellany
      • Examine cross-platform operability
      • Compounded Queries
      • Table auto-incrementation considerations
      • Alter Table support
      • Table populations via $SHELL
      • File System space reclamation with SQL VACUUM
      • Witness SQL VIEWS support
      • Attach | Detach databases
      • Perform appropriate queries against sources
    •  
    • BASH $SHELL - SQLite Support
      • Discuss applicabilitiy
      • Generate DB and Table-space
      • Test manual data-captures
      • Author script with appropriate trappings
      • Alter Table space accordingly to reflect hypothetical shifts
      • Parse useful system data
      • Automate procedure
    •  
    • Python - SQLite - Integration
      • Consider features
      • Discuss sample usage scenarios
      • Review Python Interactive Mode
      • Generate sample connection string blocks
      • Test Python-SQLite connectivity
      • Automate data collection with Python | SQLite
      • Debug as needed
      • Evaluate results
    •  

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