🔹 1. Introduction to LibreOffice Base

• Overview of LibreOffice Base and its capabilities

• The relationship between LibreOffice Base and other LibreOffice applications (Writer, Calc, etc.)

• Key differences between LibreOffice Base and Microsoft Access

• Supported file formats (ODF, CSV, DBF, MySQL, PostgreSQL, SQLite, etc.)

• How LibreOffice Base can be integrated into your business workflow

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🔹 2. Getting Started with LibreOffice Base

• Installing LibreOffice and launching Base

• Understanding the user interface (Main menu, toolbars, and database navigation pane)

• Creating a new database from scratch or using templates

• Opening and managing existing databases

• Saving, exporting, and importing database files

• Basic setup and configuration of a new database

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🔹 3. Creating and Designing Database Tables

• The concept of tables in database design

• Defining fields (name, data type, constraints) and their properties

• Data types in LibreOffice Base (Text, Number, Date, Boolean, etc.)

• Setting primary keys and defining relationships between tables

• Creating lookup lists and using combo boxes for easy data entry

• Designing tables for normalization (avoiding data redundancy)

• Importing data from external sources (CSV, Excel, etc.)

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🔹 4. Setting Up and Managing Relationships

• Understanding the importance of relationships in databases

• Creating and defining one-to-one, one-to-many, and many-to-many relationships

• Defining foreign keys and establishing referential integrity

• Enforcing data integrity through relational design (cascade delete, update rules)

• Using the "Relationships" window to manage and visualize table links

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🔹 5. Creating Forms for Data Entry

• Introduction to forms in LibreOffice Base (data entry and viewing)

• Designing user-friendly forms for entering and editing data

• Using form controls like text boxes, radio buttons, combo boxes, etc.

• Designing master-detail forms for hierarchical data (main form with subforms)

• Adding drop-down lists, checkboxes, and calendar controls for efficient data entry

• Formatting forms with different styles and themes for better readability

• Using macros for automating form actions

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🔹 6. Working with Queries

• Introduction to SQL queries and their role in databases

• Writing and running basic SELECT queries to retrieve data

• Filtering, sorting, and grouping data using query criteria

• Using aggregate functions (SUM, COUNT, AVG, etc.) in queries

• Creating parameter queries that prompt users for input

• Using complex queries with joins (INNER JOIN, LEFT JOIN, etc.) to combine data from multiple tables

• Creating cross-tab queries for summary data

• Using queries to update, delete, or insert data into tables

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🔹 7. Reports and Data Presentation

• The role of reports in data presentation and analysis

• Designing reports for printing and viewing data in a structured format

• Adding groupings, subreports, and page breaks to organize data

• Using sorting, filtering, and summary fields in reports

• Customizing the layout of reports with headers, footers, and logos

• Exporting reports to PDF or other file formats

• Using templates to quickly generate standard reports

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🔹 8. Managing and Querying External Databases

• Connecting LibreOffice Base to external databases (MySQL, PostgreSQL, SQLite)

• Configuring ODBC and JDBC connections to remote databases

• Creating linked tables that pull data from external sources

• Running queries against external databases and integrating external data into your projects

• Synchronizing data between LibreOffice Base and external databases

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🔹 9. Creating Macros and Automation

• Introduction to macros in LibreOffice Base (automating repetitive tasks)

• Writing simple macros in LibreOffice Basic

• Using the Macro Recorder to create simple tasks

• Linking macros to buttons or other form controls for easy execution

• Automating report generation or form data validation

• Debugging and troubleshooting macros

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🔹 10. Security and Data Integrity

• Securing databases with passwords and encryption

• Creating user access rights and permissions for multi-user environments

• Backing up databases to prevent data loss

• Restoring and recovering database files from backups

• Setting field validation rules and input masks to ensure correct data entry

• Using field constraints (unique, not null, check) to enforce data integrity

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🔹 11. Importing and Exporting Data

• Importing data from different formats (CSV, Excel, Text, etc.)

• Exporting tables and queries to external formats (CSV, Excel, PDF)

• Creating CSV files for sharing data with other applications

• Importing data from other LibreOffice applications (e.g., Calc, Writer)

• Synchronizing data with external software tools and services

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🔹 12. Database Maintenance and Optimization

• Compacting and repairing databases to reduce file size and optimize performance

• Managing indexes to speed up data retrieval

• Using SQL optimization techniques for faster query execution

• Monitoring and troubleshooting database performance

• Regularly backing up and archiving old data to improve performance

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🔹 13. Advanced Features and Customization

• Using advanced SQL functions and stored procedures for complex tasks

• Extending database functionality with user-defined functions

• Customizing the look and feel of forms, reports, and tables

• Implementing triggers and events to automate database actions

• Integrating LibreOffice Base with LibreOffice Calc for advanced data analysis

• Using LibreOffice Base for business intelligence and reporting

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🔹 14. LibreOffice Base vs. Microsoft Access

• Key differences between LibreOffice Base and Microsoft Access

• Comparing usability, features, and customization options

• Migrating data from Access to LibreOffice Base

• Cost-effectiveness of LibreOffice Base compared to Microsoft Access

• Evaluating which tool is best for small businesses, enterprises, or casual users

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🔹 15. Best Practices for Database Design

• Best practices for designing efficient and scalable databases

• Understanding normalization and avoiding data redundancy

• Using indexing to optimize query performance

• Structuring your database for ease of maintenance and future scalability

• Documenting database schemas and relationships for collaboration

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