Talend Cloud Training Course

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

Testimonials

★★★★★
★★★★★

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