Talend:

Sonu · July 28, 2024

Beginner Level

  1. Introduction to Talend
    • Objective: Understand the basics of Talend and its environment.
    • Key Topics:
      • Overview of Talend products and components
      • Installing Talend Open Studio
      • Navigating the Talend interface
      • Introduction to ETL concepts
  2. Basic Data Integration
    • Objective: Learn how to perform basic data integration tasks.
    • Key Topics:
      • Creating and configuring jobs
      • Connecting to databases and files
      • Basic data transformations (filtering, joining, sorting)
      • Error handling and logging
  3. Data Preparation and Transformation
    • Objective: Prepare and transform data using Talend.
    • Key Topics:
      • Data cleansing and validation
      • Using built-in components for transformations
      • Managing metadata
      • Basic expression language (tMap, tFilterRow, etc.)

Intermediate Level

  1. Advanced Data Integration Techniques
    • Objective: Master advanced data integration tasks in Talend.
    • Key Topics:
      • Advanced transformations (aggregations, lookups)
      • Data enrichment and integration with web services
      • Working with XML and JSON data
      • Using context variables and global variables
  2. Performance Optimization
    • Objective: Optimize Talend jobs for better performance.
    • Key Topics:
      • Job optimization techniques
      • Parallelization and multi-threading
      • Best practices for performance tuning
      • Monitoring and profiling jobs
  3. Data Quality and Governance
    • Objective: Ensure data quality and governance in Talend projects.
    • Key Topics:
      • Data profiling and data quality components
      • Implementing data governance
      • Managing reference data
      • Data lineage and impact analysis

Advanced Level

  1. Big Data Integration
    • Objective: Integrate and process big data using Talend.
    • Key Topics:
      • Introduction to Talend Big Data components
      • Working with Hadoop, Spark, and NoSQL databases
      • Big data processing and batch jobs
      • Real-time data integration
  2. Custom Components and Scripting
    • Objective: Extend Talend’s functionality with custom components and scripts.
    • Key Topics:
      • Developing custom components
      • Using Java, Python, and other scripting languages
      • Integrating external libraries and APIs
      • Advanced tJava, tJavaRow, and tScriptRow components
  3. Deployment and Administration
    • Objective: Deploy and manage Talend solutions in production.
    • Key Topics:
      • Job deployment best practices
      • Talend Administration Center (TAC)
      • Monitoring and scheduling jobs
      • Security and user management

Resources and Practice

  • Books and Documentation:
    • “Talend Open Studio: Cookbook” by Richard Halterman
    • “Talend for Big Data” by Bahaaldine Azarmi
    • Talend Help Center documentation
  • Practice and Hands-on Labs:
    • Talend Open Studio for hands-on practice
    • Practice projects and case studies
    • Kaggle for datasets and competitions
  • Communities and Forums:
    • Talend Community Forum
    • Stack Overflow
    • LinkedIn Groups and other professional networks

By following this guided path, you can progress from a beginner to an advanced Talend developer, equipped with the skills needed to handle data integration, transformation, and big data processing using Talend’s powerful tools and features.

About Instructor

Sonu

92 Courses

Not Enrolled

Course Includes

  • 1 Lesson