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Course Outline
Introduction
Overview of Talend Cloud Features and Architecture
- Key concepts
- Cloud versus local network services
Getting Started with Talend Cloud
- Account setup
- Managing users and roles
- Talend Management Console
- Talend Studio
Managing Talend Cloud Projects
- Creating and publishing a job
- Executing job tasks in the cloud
Configuring Connections and Datasets
- Creating and sharing a connection
- Dataset actions
Evaluating Data Quality with Data Inventory
- Metadata management
- Proofing datasets
- Semantic types, custom attributes, and tags
Processing Data with Pipeline Designer
- Creating a pipeline
- Executing pipelines
- Managing artifacts and tasks
Working With Information using Data Preparation
- Managing preparations
- Data actions and functions
- Large datasets
Handling Tasks with Data Stewardship
- Campaigns and tasks
- Audit capabilities
Monitoring Cloud Operations
- Creating a remote engine
- Executing and scheduling tasks
- Promoting environments
Troubleshooting
Summary and Conclusion
Requirements
- Knowledge of data integration and management
- Familiarity with cloud technology
Audience
- Data administrators
- Developers
7 Hours
Testimonials (3)
knowledge, exemplary training
Krzysztof Kantorski - Santander
Machine Translated
Very useful in because it helps me understand what we can do with the data in our context. It will also help me
Nicolas NEMORIN - Adecco Groupe France
Course - KNIME Analytics Platform for BI
It's a hands-on session.
