Oracle Data Pump (Impdp Expdp )

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Free Download Oracle Data Pump (Impdp Expdp )
Published 12/2023
Created by Vivek Kumar Gupta
MP4 | Video: h264, 1280x720 | 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 Featuresata 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
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