Talend Data Integration Advanced

Talend Data Integration provides an extensible, highly scalable set of tools for accessing, transforming, and integrating data from any business system. This course enables you to use the more advanced features of Talend Data Integration as quickly as possible. Participants can work in teams on projects shared on a remote repository to monitor Jobs and database changes.

Duration	1 day (7 hours)
Target audience	Anyone who wants to use Talend Data Integration to perform data integration and management tasks: software developers and development managers
Prerequisites	Completion of Talend Data Integration Basics and knowledge of computing, including familiarity with Java or another programming language, SQL, and general database concepts
Course objectives	After completing this course, you will be able to: Start Talend Studio and connect it to a remote repository Use SVN branches in Studio Run a Job in Studio or on a remote JobServer Monitor host CPU and JVM memory in real time during Job execution Use debugging features in Studio Configure a Talend project to capture statistics and logs, and monitor them from Activity Monitoring Console (AMC) Implement several methods of parallel execution in a Talend Job Create Joblets Create a unit test from a working Job Configure a database to monitor and log changes in a separate change data capture (CDC) database Use the CDC database to perform incremental updates between the source and target Set up a reference project in order to use items from another project
Course agenda	Connecting to a remote repository Creating a remote connection SVN in Studio Copying a Job to a branch Comparing Jobs Resetting a branch Reference project Setting up and using a reference project Remote Job execution Creating and running a Job remotely Resource usage and basic debugging Using Memory Run to view real-time resource usage Debugging Jobs using Debug Run Activity Monitoring Console (AMC) Configuring statistics and logging Using Activity Monitoring Console (AMC) Parallel execution Writing large files Writing to databases Automatic parallelization Partitioning Joblets Creating a Joblet from an existing Job Creating a Joblet from scratch Triggering Joblets Unit test Creating a unit test Change data capture Examining databases Configuring the CDC database Monitoring changes Updating a warehouse Resetting the database