Oracle Data Pump (Impdp Expdp )


Free Download Oracle Data Pump (Impdp Expdp )
Published 12/2023
Created by Vivek Kumar Gupta
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 15 Lectures ( 1h 33m ) | Size: 775 MB


Oracle Data Pump (Impdp / Expdp )
What you’ll learn
install configuration Oracle 19c Database
understand Data pump Vs Imp/Dmp
Parameter of Data Pump
Schema Refresh using Data Pump
Requirements
Familier with Oracle Database
Familiar with Linux basics
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 conceptsFamiliarity with SQL and PL/SQLOracle Database installed (preferably Oracle Database 11g or later)Introduction to Data Pump:Overview of Oracle Data Pump architectureKey differences between the original Export/Import utilities and Data PumpBasic Data Pump Commands:Syntax and usage of expdp and impdp commandsConnecting to databases and specifying target schemasExporting Data:Exporting entire databases, schemas, or specific tablesFiltering data during export using various parametersParallelism and performance considerationsImporting Data:Importing data from dump filesHandling tablespace and schema remappingStrategies for handling errors and exceptions during importAdvanced Data Pump Features:Data compression and encryption during export and importFine-grained control over object creation and manipulationUsing Data Pump transformations and SQL queries during importManaging Data Pump Jobs:Monitoring and managing Data Pump jobsResuming and restarting failed jobsControlling job behavior and resource usageBest Practices and Optimization:Optimizing performance with parallelism and parallel processingBest practices for efficient data movement and maintenance
Who this course is for
Oracle Database administrator
System Integrator
Data Warehouse Analyst
Data Warehouse Developer
Homepage

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