Whether you’re writing an essay, creating a report, or just jotting down ideas, Introduction to Google Docs will help you feel confident using this powerful word processing tool. In this beginner-friendly course you walks you through the basics of navigating Google Docs, formatting your text, and collaborating in real-time—all from your browser. You’ll learn how to create clean, organized documents and take advantage of features that make your work easier and more efficient. With clear, practical lessons, this course is perfect for anyone new to Google Docs or looking for a refresher. By the end, you’ll be ready to write, edit, and share with ease.
Overview
COURSE DIFFICULTY
COURSE DURATION
10m
Skills Learned
After completing this online training course, students will be able to:
Design and build data pipelines in Azure Data Factory
Create mapping data flows for code-free transformations
Configure copy activities for data movement
Schedule and trigger pipeline executions
Data Engineers, Database Administrators
None
01. Class Introduction
02. Getting Started with Azure (Navigating the Azure Portal)
03. Getting Started with Azure (Resource Groups)
04. Getting Started with Azure (Setting up Storage)
05. Working with Data Factory (Provisioning Data Factory)
06. Working with Data Factory (Data Factory Navigation)
07. Working with Data Factory (Copy Data Tool)
08. Working with Data Factory (Factory Resources)
09. Pipeline Activities (Copy Activity - Azure SQL Database to ADLS)
10. Pipeline Activities (Copy Activity - ADLS to Azure SQL Database)
11. Pipeline Activities (Get Metadata Activity)
12. Pipeline Activities (Stored Procedure Activity)
13. Pipeline Activities (Lookup Activity)
14. Pipeline Activities (If Condition Activity)
15. Pipeline Activities (Filter Activity)
16. Pipeline Activities (For Each Activity)
17. Pipeline Activities (Creating Dynamic Datasets)
18. Data Flows (Source)
19. Data Flows (Transformations)
20. Data Flows (Sink)
21. Working with On-Premises Data (Creating Self-Hosted Integration Runtime)
22. Working with On-Premises Data (SQL Server Dataset)
23. Triggers (Schedule Trigger)
24. Monitoring (Azure Data Factory)
25. Wrap-Up
SKILLS LEARNED
Skills Learned
After completing this online training course, students will be able to:
Design and build data pipelines in Azure Data Factory
Create mapping data flows for code-free transformations
Configure copy activities for data movement
Schedule and trigger pipeline executions
WHO SHOULD ATTEND
Data Engineers, Database Administrators
PREREQUISITES
None
COURSE OUTLINE
01. Class Introduction
02. Getting Started with Azure (Navigating the Azure Portal)
03. Getting Started with Azure (Resource Groups)
04. Getting Started with Azure (Setting up Storage)
05. Working with Data Factory (Provisioning Data Factory)
06. Working with Data Factory (Data Factory Navigation)
07. Working with Data Factory (Copy Data Tool)
08. Working with Data Factory (Factory Resources)
09. Pipeline Activities (Copy Activity - Azure SQL Database to ADLS)
10. Pipeline Activities (Copy Activity - ADLS to Azure SQL Database)
11. Pipeline Activities (Get Metadata Activity)
12. Pipeline Activities (Stored Procedure Activity)
13. Pipeline Activities (Lookup Activity)
14. Pipeline Activities (If Condition Activity)
15. Pipeline Activities (Filter Activity)
16. Pipeline Activities (For Each Activity)
17. Pipeline Activities (Creating Dynamic Datasets)
18. Data Flows (Source)
19. Data Flows (Transformations)
20. Data Flows (Sink)
21. Working with On-Premises Data (Creating Self-Hosted Integration Runtime)
22. Working with On-Premises Data (SQL Server Dataset)
23. Triggers (Schedule Trigger)
24. Monitoring (Azure Data Factory)
25. Wrap-Up
