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Data Management

Manage repositories, setup Data Stores and use the data services management console, install and configure data services, set up file formats, schedule jobs, manage Security in Data Services, and use Data Services Workbench.

> 12%

Performance Optimized Design

Optimize data flow for performance and measure performance, use parallel processing, push down operations, and distribute Data Flow execution across Job Servers; configure Bulk Loaders.

> 12% 

Basic Data Transformation

Use Target table options, built-in functions, the platform, validation and Query transforms, create batch jobs, describe data services object hierarchy/relationsihp and operation codes.

> 12% 

Recovery and Troubleshooting

Design recovery, troubleshoot/test jobs, apply error handling, explain Trace logs, and use the interactive debugger.

> 12% 

Complex Design Methodology

Design the interdependancies within a workflow, use workflows to control the execution of the job, and implement Datastore configurations and System Configurations.

8% – 12% 

Advanced Data Transformation

Apply data integrator transforms, audit data flows, and use scripting and embedded Data Flows.

8% – 12% 

Data Integration Concepts

Descibe ETL Project Guidelines, Real-Time processing, and profile data in Data Services.

< 8% 

Change Data Capture

Compare Delta Load Methods, and implement source based Change Data Capture and target based Change Data Capture.

< 8% 

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