This Oracle Database 12c: Implement Partitioning training teaches you how to manage partitioning using Oracle Database 12c. Expert Oracle University instructors will demonstrate the benefits of partitioning for different types of workloads and learn the syntax for partitioning maintenance operations. In this course, you will be introduced to Oracle Database Cloud Service.
Learn To:
Apply partitioning strategies to enhance application performance.
Use partitioning techniques to reduce impact of table and index maintenance.
Use partitioning to decrease the time to refresh materialized views.
Partition lob segments, nested tables and object tables.
Understand the Oracle Partitioning methods for tables, index and materialized views available in Oracle Database 12c Release 1.
Gain an understanding of the Oracle Database Cloud Service.
Skills Covered
Upon completing this course, the learner will be able to meet these overall objectives:
Choose appropriate partition attributes for various application requirements
Understand partitioning options with other database features
Describe Oracle Enterprise Manager support of partitioned objects
Describe the partitioning architecture, uses, and advantages
Describe the partition types supported by the Oracle RDBMS
List all of the options for creating partition tables
Create partitioned tables
Describe the table and index partition relationships
List all the options of partitioned indexes
Create partitioned indexes
List all of the alterable partitioned table and index attributes
Describe the overhead associated with each maintenance command
Use the data dictionary to verify partitioning structure
Create Materialized Views that are partitioned
Explain the benefits of partitioning materialized views
Gain an understanding of the Oracle Database Cloud Service
Who Should Attend
Database Administrators
Database Designers
Systems Architects
Course Curriculum
Prerequisites
SQL Fundamentals
Basic SQL Tuning
Basic Database Administration
Oracle Database 12c R2: Administration Workshop Ed 3
Suggested Prerequisites:
Basic Data Modeling and Relational Database Design
