Training Syllabus
NCORC005 - Oracle 10g Implementing and Maintaining Data Warehouse

Durasi : 5 hari

  1. Data Warehouse Design
    Logical Versus Physical Design in Data Warehouses
    Data Warehousing Schemas
    Data Warehousing Objects
    Physical Design in Data Warehouses
    Hardware and I/O Considerations
  2. Data Warehousing Schemas
    Star Schema Model
    Snowflake Schema Model
    Tuning Star Queries
    Star Transformation Hints
    Static Partition Pruning And Star Query
    Dynamic Partition Pruning And Star Query
    Dynamic Partition Pruning Determination
  3. Partitioning Basics
    Supported partition types
    Rolling window operations
    Partition pruning
    Partitioning Using a Template
  4. Extraction, Transportation, and Loading (Extraction and Transportation)
    ETL Tools
    Extraction Methods
    Logical Extraction Methods
    Physical Extraction Methods
    Change Data Capture
    Transportation Using Transportable Tablespaces
    Loading Mechanisms
  5. ETL-Loading
    Load a formatted flat file into an existing table with SQL*Loader
    Performing basic transformations while loading with SQL*Loader
    External tables using oracle_loader driver
    External tables using oracle_datapump driver
    Loading data with OCI and Direct-path APIs
  6. ETL-Transformation
    Transformation Using SQL
    Transformation Using PL/SQL
    Transformation Using Table Functions
    Error Logging and Handling Mechanisms
  7. Parallelism Concepts
    Parallel Operations
    Degree Of Parallelism
    Parallel Execution Plan
    Operations That Can Be Parallelized
    The PARALLEL Clause
    Parallel Query
    Parallel DDL
    Performance Benefits of Parallel DML
  8. Parallel Operations in Data Warehouses
    Automated Parallel Query Tuning
    Data Distribution And V$PQ_TQSTAT
    Object Statistics And V$PQ_TQSTAT
  9. Materialized Views
    Materialized Views Overview
    Types Of Materialized Views
    Nested Materialized Views
    Partitioned Materialized Views
    Refresh Methods and Modes
    Altering/Dropping Materialized Views
    Dimensions and Hierarchies
    Dimensions and the Data Dictionary
  10. Dimensions
    Creating dimensions
    Validate dimensions data
    View dimension definition information
    Distinguish between dimensions and constraints
  11. Materialized Views Refresh
    Refresh Methods and Modes
    Identifying Dependent MVs
    Conditions For Complete/Fast Refreshes
    Materialized View Logs
    Parallel Refreshes
  12. Query Rewrite
    Enabling Query Rewrite
    Join Compatibility Checks
    Common Joins
    PCT and Query Rewrite
    Query Rewrite using Multiple MVs
    Index Materialized Views
  13. SQL Access Advisor
    DBMS_OLAP Advisory Procedures
    Workload Management and Sources
    Workload Filters and Attribute Types
    Tuning of Manually Created Materialized Views
    Fast-Refreshable Materialized Views
    RECOMMEND_MVIEW_STRATEGY procedure
  14. Data Warehousing System Management
    Statistics Collection
    Resumable Sessions
    Backup and Recovery
    Table Compression