YoVDO

DBeaver Essential Training

Offered By: LinkedIn Learning

Tags

Databases Courses Data Visualization Courses Project Management Courses Database Management Courses

Course Description

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

Taught by

Adam Wilbert

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