DBeaver Essential Training

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Free Online Course: DBeaver Essential Training provided by LinkedIn Learning is a comprehensive online course, which lasts for 3-4 hours worth of material. The course is taught in English and is free of charge. Upon completion of the course, you can receive an e-certificate from LinkedIn Learning. DBeaver Essential Training is taught by Adam Wilbert.

Overview
  • Learn the basics of using the popular DBeaver universal database client. This course focuses on the DBeaver application, not on database development or writing SQL queries.

Syllabus
  • Introduction

    • Database management with DBeaver
    • What you should know
    • Using the exercise files
    1. Getting to Know DBeaver
    • What is DBeaver?
    • Touring the interface
    • Explore the DBeaver sample database
    • Create your own database connections
    • Add a PostgreSQL connection
    2. Organize the Workspace with Projects
    • Create and manage DBeaver projects
    • Store bookmarks to database objects
    • Set an active project
    • Add and link external files to the project
    • Customize the project explorer
    • Export and import projects
    3. Working with Tabular Data
    • View and organize table data
    • Filter rows shown in the results
    • Apply custom column filters
    • Finding specific values in the results
    • View summary statistics with the Calc panel
    • Obtain group statistics for a dataset
    • View execution history with the Query Manager
    • Edit data values
    4. Database Objects and Structures
    • Explore and modify object properties
    • Create a new table object
    • Compare table structures
    • Export data from a table
    • Import data to a table
    • Generate valid SQL commands
    5. Entity Relationship Diagrams
    • View and understand an ER diagram
    • Configure an ER diagram
    • Save and print an ER diagram
    6. Writing Commands with the SQL Editor
    • SQL scripts and the SQL console
    • Execute queries using the SQL console
    • Useful query writing techniques
    • Create and save project scripts
    • Save time with SQL templates
    • Improve legibility by formatting scripts
    7. Additional Features of Enterprise Edition
    • Creating charts from data results
    • Build queries with a visual editor
    • Generate sample data for testing
    • Compare two data sources
    Conclusion
    • Next steps