Oracle Data Pump (Impdp / Expdp )

Oracle Data Pump (Impdp / Expdp )

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Oracle Data Pump  (Impdp / Expdp )

What You Will Learn!

  • install configuration Oracle 19c Database
  • understand Data pump Vs Imp/Dmp
  • Parameter of Data Pump
  • Schema Refresh using Data Pump

Description

This comprehensive course on Oracle Data Pump provides an in-depth understanding of the Import (Impdp) and Export (Expdp) utilities, essential tools for managing data and metadata movement in Oracle databases. Participants will gain hands-on experience with practical examples and real-world scenarios to master the intricacies of these powerful data manipulation tools.


Prerequisites:

  • Basic understanding of Oracle Database concepts

  • Familiarity with SQL and PL/SQL

  • Oracle Database installed (preferably Oracle Database 11g or later)

  1. Introduction to Data Pump:

    • Overview of Oracle Data Pump architecture

    • Key differences between the original Export/Import utilities and Data Pump

  2. Basic Data Pump Commands:

    • Syntax and usage of expdp and impdp commands

    • Connecting to databases and specifying target schemas

  3. Exporting Data:

    • Exporting entire databases, schemas, or specific tables

    • Filtering data during export using various parameters

    • Parallelism and performance considerations

  4. Importing Data:

    • Importing data from dump files

    • Handling tablespace and schema remapping

    • Strategies for handling errors and exceptions during import

  5. Advanced Data Pump Features:

    • Data compression and encryption during export and import

    • Fine-grained control over object creation and manipulation

    • Using Data Pump transformations and SQL queries during import

  6. Managing Data Pump Jobs:

    • Monitoring and managing Data Pump jobs

    • Resuming and restarting failed jobs

    • Controlling job behavior and resource usage

  7. Best Practices and Optimization:

    • Optimizing performance with parallelism and parallel processing

    • Best practices for efficient data movement and maintenance

Who Should Attend!

  • Oracle Database administrator
  • System Integrator
  • Data Warehouse Analyst
  • Data Warehouse Developer

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Subscribers

1

Lectures

15

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