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Big Data Integration with Talend

Course Summary

The Big Data Integration with Talend training course focuses on the cloud and big data integration software. The software fosters organizations to become data-driven. It makes data more accessible and improves its quality. It quickly moves data where it's needed and allows for real-time decision making.

The course begins with students learning how to use Talend to enhance data handling and integration capabilities. Next, they will create ETL jobs that connect to almost any data source. Filtering, modifying, and uniting data are also covered. Students build standalone jobs that run on a schedule or are based on an event. This makes jobs more user-friendly for non-technical users. The course concludes by exploring data integration from numerous data sources. Best practices, troubleshooting, and performing CI/CD with Talend is also explored.

Purpose
 Learn how to use Talend through hands-on labs and real-world projects that students may encounter while building big data applications.
Audience
 Software Developers with experience with at a major programming language (Python, C#, Java, Ruby, etc) and some basic understanding of how ETL systems work.
Role
Data Engineer - Software Developer
Skill Level
Intermediate
Style
Workshops
Duration
3 Days
Related Technologies
CI/CD

 

Productivity Objectives
  • Describe Talend and its abilities as an ETL tool
  • Differentiate Talend with other Key ETL tools
  • Examine Talend Studio
  • Utilize Talend Open Studio
  • Perform Data Integration with numerous data sources
  • Identify Best Practices and troubleshooting methods/resources
  • Practice CI/CD with Talend

What You'll Learn:

In the Big Data Integration with Talend training course, you'll learn:
  • Overview
    • Introduction To Talend
    • Why Talend?
    • Talend Vs Other Tools
    • Logical Architecture
    • More On Data Integration Aspects
    • Talend Open Studio Walkthrough
    • Key Components In Palette
    • Installation
    • Conclusion
  • Managing Metadata
    • Introduction
    • Working with Built-In Schema
    • What are Generic Schemas?
    • Advantages of Generic Schemas
    • Generating Generic Schema
    • More on Working with Schemas
  • Data Validation
    • Introduction
    • Enabling And Disabling Reject Flows
    • Validating Against The Schema
    • Rejecting Rows Using tMap
    • Checking A Column Against A List Of Allowed Values
    • Checking A Column Against A Lookup
    • Creating Validation Rules For More Complex Requirements
  • Data Transformation
    • Introduction
    • Mapping Data
    • Working with tMap Expressions
    • Filtering Input Data
    • Joining Data Using tMap
  • Managing Context Variables
    • Introduction
    • Working with A Context Group
    • Linking Context Group with Job
    • Adding Contexts To A Context Group
    • Integrating Context with OS variables
  • Working With Databases
    • Introduction
    • Setup Connection
    • Importing Schemas
    • Reading Tables
    • Dynamic parameters to query
    • Debugging and Printing your input query
    • Storing results in Database Table
    • Dealing with Database Sessions
    • Working with Child Job
    • Error Handling
  • Integration with Enterprise Apps Via XML, Webservices, etc.
    • Introduction
    • Consuming CSV data
    • Consuming XML data
    • Writing XML data
    • Working with Nested data
    • Invoking Web Services
    • Reading And Writing To A Queue
  • Troubleshooting and Testing
    • Introduction
    • How to troubleshoot?
    • Debugging errors
    • Logging
    • Building Test Cases
    • Generating Test Data
  • Software Development Lifecycle
    • Working With Git And Talend
    • How To Perform Ci/Cd With Jenkins And Talend?
    • Job Monitoring Using Resource Manager Ui
    • Unit Testing
    • Best Practices
    • Joblets
    • Parallelization
    • Reusing Jobs (Child Jobs)
    • Context Variables
    • Using Repository
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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