Programa do Curso

Designing Data Flows

  • Overview of data flow tasks and transformations
  • Working with data sources and destinations
  • Implementing common data transformations
  • Handling data quality issues

Control Flow in SSIS

  • Understanding control flow tasks
  • Using containers to manage control flow
  • Implementing loops and conditional logic
  • Managing package execution flow

Advanced Data Transformation Techniques

  • Using advanced transformations
  • Data cleansing, validation, and enrichment
  • Aggregation and summarization techniques
  • Implementing Slowly Changing Dimensions (SCD) in detail

Working with Variables and Parameters

  • Introduction to variables and parameters
  • Using variables to control package behavior
  • Dynamic configuration of package properties

Managing SSIS Package Execution

  • Configuring package execution options
  • Error handling and logging strategies
  • Using event handlers to manage runtime events
  • Scheduling and automating execution with SQL Server Agent

Deploying and Managing SSIS Packages

  • Deployment models in SQL Server 2022
  • Deploying packages to the SSIS catalog
  • Monitoring and troubleshooting deployed packages

Performance Tuning and Optimization

  • Identifying and addressing performance bottlenecks
  • Best practices for optimizing data flows and control flows
  • Parallelism and batch processing in SSIS

Summary and Next Steps

Requisitos

  • Basic understanding of SQL and relational database concepts
  • Familiarity with SQL Server Management Studio (SSMS)

Audience

  • Data professionals
  • Developers
  • Database administrators
 14 Horas

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