Talend Data Integration

This course helps you use Talend Studio for Data Integration as quickly as possible. It focuses on the basic capabilities of Studio and how you can use it to build reliable, maintainable data integration tasks that solve practical problems, including extracting data from common database and file formats, transforming it, and integrating it into targets.

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This course helps you use Talend Studio for Data Integration as quickly as possible. It focuses on the basic capabilities of Studio and how you can use it to build reliable, maintainable data integration tasks that solve practical problems, including extracting data from common database and file formats, transforming it, and integrating it into targets.

Talend Studio for Data Integration dramatically improves the efficiency of data integration Job design through an easy-to-use graphical development environment. With integrated connectors to source and target systems, it enables rapid deployment and reduces maintenance costs. It supports all types of data integration, migration, and synchronization. This course serves as a prerequisite for many other Talend courses, and the skills learned apply to most Talend products.

 
Course Objectives:

 

After completing this course attendees should be able to:

  • Create a project
  • Create and run a Job that reads, converts, and writes data
  • Merge data from several sources within a Job
  • Save a schema for repeated use
  • Create and use metadata and context variables within Jobs
  • Connect to, read from, and write to a database from a Job
  • Access a web service from a Job
  • Work with master Jobs and sub Jobs
  • Build, export, and test-run Jobs outside Studio
  • Implement basic error-handling techniques
  • Use best practices for Job and component naming, hints, and documentation
 

Course content

 

Getting started with Talend Data Integration
  • Starting Talend Studio
  • Creating your first Job
  • Running a Job
  • Using the component help
  • Designing a Job using best practices
  • Documenting a Job
Working with files
  • Working with delimited files
  • Working with hierarchical files
Working with databases
  • Creating tables in MySQL databases
  • Creating your first Job
  • Applying best practices
Using repository metadata
  • Using delimited file metadata
  • Using XML file metadata
  • Applying best practices
  • Using database metadata
  • Using generic schemas
  • Updating metadata
Processing data
  • Mapping data using tMap
  • Joining data using tMap
  • Capturing join rejects
  • Filtering data and capturing filtering rejects
  • Using other data processing components
Using contexts and context variables
  • Creating a built-in context variable
  • Connecting to databases using context variables
  • Creating a context group in the repository
  • Loading context variables from a flow
Building executables and Docker images from data integration Jobs
  • Building a stand-alone Job
  • Building a new version of the Job
  • Building a Docker image
Controlling execution
  • Managing files
  • Processing files
  • Managing Job execution using a master Job
Handling errors
  • Detecting and handling basic errors
  • Raising a warning
Working with web services
  • Accessing a SOAP web service
Use case: Creating a master sales table from different data sources
  • Setting up a customer table
  • First challenge
  • Setting up a sales table
  • Joining data
  • Performing calculations
  • Second challenge
  • Creating a master job
Using Git in Talend Studio
  • Using Git in Talend Studio
Remote Job execution
  • Creating and running a Job remotely
Basic debugging
  • Debugging Jobs using Debug Run
Parallel execution
  • Writing large files
  • Writing to databases
  • Automatic parallelization
  • Partitioning
Memorizing data
  • Preparing and memorizing a sequence of rows with the tMemorizeRows component
  • Reusing memorized rows in tMap
Joblets
  • Creating a Joblet from an existing Job
  • Creating a Joblet from scratch
  • Triggering Joblets
Using Custom Java Code
  • Using Java in Talend Studio
  • Executing simple instructions with tJava
  • Processing data with custom Java code using the tJavaRow and tJavaFlex components
  • Creating and using Java routines
Change data capture
  • Examining databases
  • Configuring the CDC database
  • Monitoring changes
  • Updating a warehouse
  • Resetting the database

 

To see the full course content Download now

Course Prerequisites

 
  • Basic knowledge of computing, including familiarity with Java or another programming language, SQL, and general database concepts

Who can attend

 

This course is beneficial for the following professionals:

 
  • Anyone who wants to use Talend Studio to perform data integration tasks: software developers and development managers

Number of Hours: 40hrs

Certification

Talend Data Integration Certified Developer

Key features

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

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  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Materials
  • Preparing for Certification

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