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Last updated
Course Code
talendcloud
Duration
7 hours (usually 1 day including breaks)
Requirements
- Knowledge of data integration and management
- Familiarity with cloud technology
Audience
- Data administrators
- Developers
Overview
Talend Cloud is an open-source platform that provides end-to-end data integration and management solutions. Talend Cloud specializes in big data, data quality, master data management, and application integration for businesses.
This instructor-led, live training (online or onsite) is aimed at data administrators and developers who wish to manage, monitor, and operate data integration processes using Talend Cloud services.
By the end of this training, participants will be able to:
- Navigate the Talend Management Console to manage users and roles in the platform.
- Evaluate data to find and understand relevant datasets.
- Create a pipeline to process and monitor data at rest or in action.
- Prepare data for analysis to generate insights relevant to the business.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request a customized training for this course, please contact us to arrange.
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
