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SAS Certified Data Integration Developer Course

SAS Certified Data Integration Developer Course

Master SAS data integration: Metadata management, ETL workflows, job deployment, transformations, and more.

Engage in live interactive sessions led by certified SAS data integration experts.

Receive structured guidance for certification exam preparation and advanced technical skill development.

Earn the globally recognized SAS Certified Data Integration Developer credential.

Key Highlights

Numerous live interactive sessions delivered over an extended period

Extensive hands-on projects and quizzes focused on practical application

Training led by experienced SAS-certified data integration professionals

Comprehensive exam preparation including practice assessments and strategic insights

Access to professional SAS communities and exclusive resources

About SAS Certified Data Integration Developer Course

This thorough course develops expertise in using SAS Data Integration Studio and related technologies. Coverage includes metadata creation and maintenance, ETL pipeline design and optimization, job scheduling, and managing slowly changing dimensions. The curriculum integrates practical exercises and real-world case scenarios aligned to the SAS Certified Data Integration Developer certification exam, equipping participants for both certification and applied workplace tasks.

What Will You Learn?

    • Managing metadata for diverse source and target systems
    • Designing and optimizing ETL workflows through SAS Data Integration Studio
    • Applying complex transformations including lookup standardization, summary statistics, and SQL grouping
    • Efficient handling of large data volumes via advanced table loading methods
    • Implementing slowly changing dimension strategies to track historical data
    • Customizing workflows using generated transformations with SAS code templates
    • Scheduling and deploying jobs in batch processing environments
    • Performing diagnostic and troubleshooting activities to maintain pipeline integrity

    • Metadata administration across heterogeneous data environments
    • Workflow creation and refinement tailored to complex integration scenarios
    • Execution of varied data transformations for quality and performance
    • Management of data warehouse changes leveraging slowly changing dimension techniques
    • Development and deployment of tailored generated transformations
    • Orchestration of batch jobs with effective scheduling and monitoring strategies
    • Capability to analyze and mitigate operational challenges in ETL processes

    • Professional Roles Facilitated

    • SAS Data Integration Developer
    • ETL Developer in SAS ecosystems
    • Data Engineer specializing in SAS-driven data management
    • Business Intelligence Data Specialist
    • Analytics Data Preparer
    • Data Governance Analyst

    • Core Topics Covered

      Metadata management and governance
      Advanced data transformation techniques
      ETL pipeline design, execution, and error handling
      Slowly changing dimension management
      Custom SAS code in generated transformations
      Job scheduling and batch processing
      Operational troubleshooting and dependency analysis

      Projects Included

    • Metadata registration and lifecycle management
    • Advanced transformation development using SAS tools
    • Table loading and indexing optimization for high-volume data
    • Implementation of SCD Type 1 and Type 2 for accurate historical data representation
    • Creation of custom generated transformations through SAS code
    • Job deployment, scheduling, and monitoring with management consoles
    • Conducting impact and reverse impact analyses for metadata and jobs
    • Resolution of pipeline and job execution errors

    Professional Development

    Participation in SAS community forums for experience exchange Skill enhancement workshops focusing on SAS integration best practices
    Engagement with expert-led technical discussion groups
    Continuous learning opportunities through webinars and professional events

    SAS Certified Data Integration Developer Certification Details

    Validates expertise in designing, developing, and managing data integration using SAS tools
    Emphasizes skills in metadata administration, data transformation, and ETL pipeline orchestration
    Recognizes ability to implement and maintain complex data workflows, including handling slowly changing dimensions
    Credential is acknowledged widely in organizations utilizing SAS for data management and analytics
    Candidates should maintain awareness of certification updates and required recertification policies

FAQ

It assesses proficiency in metadata management, ETL pipeline design, job deployment, data transformation techniques, and handling of slowly changing dimensions using SAS Data Integration Studio.

Candidates must be adept at managing metadata, developing transformations, scheduling and deploying jobs, and troubleshooting execution issues within SAS environments.

Mastery of in-database processing is critical as it enhances ETL performance and is a significant component of the certification evaluation.

Integrating hands-on practice with formal training, supplemented by official study materials and mock exams, yields the best results.

The credential enhances credibility, facilitates access to advanced roles involving complex SAS data workflows, and is respected by employers in sectors relying on SAS technology.
Q6

Certifications remain valid until superseded by updates requiring re-certification; candidates should monitor communications from SAS for renewal guidance.
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