Talend Data Integration Certified Developer Training

Curriculum:

Module 1: Introduction to Talend Data Integration

• Overview of Data Integration concepts
• Introduction to Talend Open Studio (TOS)
• Understanding Talend’s ecosystem (Data Integration, Data Quality, ESB, MDM)
• Architecture of Talend Data Integration
• Talend Studio installation and workspace setup
• Overview of Job Designer and Repository

Hands-on: Installing Talend, exploring workspace, creating your first project

Module 2: Talend Studio Basics

• Understanding Jobs and Components
• Palette overview and component categories
• Working with metadata (DB connections, files, schemas)
• Building your first ETL Job
• Running and debugging Jobs
• Using Talend Exchange and Community resources

Hands-on: Creating and executing basic data flow jobs

Module 3: Data Extraction (Input Components)

• File input components (tFileInputDelimited, tFileInputExcel, tFileInputJSON, tFileInputXML)
• Database input components (tMysqlInput, tOracleInput, tMSSqlInput, tPostgresqlInput)
• Web Services, API, and Cloud connectors (REST, SOAP, AWS, Azure)
• Using metadata for schema reuse

Hands-on: Extracting data from different sources

Module 4: Data Transformation

• Understanding transformation logic in Talend
• Mapping data with tMap, tFilterRow, tJoin, tAggregateRow
• Lookup and join handling
• Data type conversions and expressions
• Handling nulls, conditional logic, and calculations
• Using built-in Talend functions and expressions

Hands-on: Creating complex transformations with tMap

Module 5: Data Loading (Output Components)

• File output components (CSV, Excel, JSON, XML)
• Database output components (Insert, Update, Upsert)
• Using tOutputBulk and tOutputBulkExec
• Batch processing and transaction handling

Hands-on: Loading processed data into databases and files

Module 6: Context Variables and Parameterization

• Understanding Contexts and Variables
• Defining global and local variables
• Using context groups for environment-based configuration
• Passing parameters to child jobs
• Using command line parameters and Talend context files

Hands-on: Creating dynamic jobs using context variables

Module 7: Job Orchestration and Subjobs

• Linking multiple subjobs
• Using OnSubjobOK, OnComponentOK, and RunIf triggers
• Error handling and recovery
• Implementing loops and iterations
• Using tRunJob and joblets

Hands-on: Building multi-job workflows with error management

Module 8: Error Handling and Debugging

• Using tLogCatcher, tWarn, tDie components
• Exception management and logging strategy
• Using tAssert and tAssertCatcher for testing
• Monitoring Job execution logs
• Debugging with breakpoints and data trace

Hands-on: Implementing error handling and logging

Module 9: Performance Optimization

• Job performance tuning best practices
• Parallel execution and multi-threading
• Using tParallelize and memory optimization techniques
• Database optimization and bulk loading
• Handling large datasets

Hands-on: Optimizing ETL jobs for large-scale processing

Module 10: Scheduling and Deployment

• Exporting Jobs as standalone executables
• Using Talend Administration Center (TAC)
• Job scheduling and monitoring
• Working with command line and cron jobs
• Using Talend Cloud for deployment

Hands-on: Deploying and scheduling jobs using TAC

Module 11: Advanced Components and Features

• Using tReplicate, tUnite, tNormalize, tDenormalize
• Managing deltas with tMap and CDC (Change Data Capture)
• Using tJava, tJavaRow, and custom Java code
• Working with APIs and JSON/XML transformations
• Connecting Talend with Big Data and Cloud systems (AWS S3, Azure, GCP)

Hands-on: Creating custom logic and integrating cloud connectors

Module 12: Talend Data Quality and Governance (Optional Advanced Track)

• Introduction to Talend Data Quality (TDQ)
• Profiling and cleansing data
• Implementing validation rules
• Data matching and deduplication
• Integrating TDQ with DI Jobs

Module 13: Real-Time Project and Case Study

• End-to-end ETL project implementation
• Integration of multiple data sources
• Data quality and transformation logic
• Error handling and job scheduling
• Documentation and deployment

Module 14: Certification Preparation

• Overview of Talend Data Integration Certified Developer exam
• Sample questions and mock tests
• Exam strategy and tips