Understand and describe the features inherent in an
Oracle 10g Data Warehouse. Demonstrate how to implement parallel operations. Demonstrate extraction, transformation, and loading processes. Describe and demonstrate effective usage of Materialized Views in a data warehouse. Describe star, snowflake and 3NF schemas. Implement an effective partitioning schema for your data warehouse tables. Develop an effective backup and recovery strategy. Describe security challenges in a data warehouse
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
Data Warehousing Schemas
Star Schema Model
Snowflake Schema Model
Tuning Star Queries
Star Transformation Hints
Star Transformation Hints
Static Partition Pruning And Star Query
Dynamic Partition Pruning And Star Query
Dynamic Partition Pruning Determination
Partitioning Basics
Supported partition types
Rolling window operations
Partition pruning
Partitioning Using a Template
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
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
ETL-Transformation
Transformation Using SQL
Transformation Using
PL/SQL Transformation Using Table Functions
Error Logging and Handling Mechanisms
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
Parallel Operations in Data Warehouses
Automated Parallel Query Tuning
Data Distribution And V$PQ_TQSTAT
Object Statistics And V$PQ_TQSTAT
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
Dimensions
Creating dimensions
Validate dimensions data
View dimension definition information
Distinguish between dimensions and constraints
Materialized Views Refresh
Refresh Methods and Modes
Identifying Dependent MVs
Conditions For Complete/Fast Refreshes
Materialized View Logs
Parallel Refreshes
Query Rewrite
What Can Be Rewritten?
Enabling Query Rewrite
Join Compatibility Checks
Common Joins
PCT and Query Rewrite
Query Rewrite using Multiple MVs
Index Materialized Views
SQL Access Advisor
DBMS_OLAP Advisory Procedures
Workload Management and Sources
Recommendations
Workload Filters and Attribute Types
Tuning of Manually Created Materialized Views
Fast-Refreshable Materialized Views
RECOMMEND_MVIEW_STRATEGY procedure
Data Warehousing System Management
Statistics Collection
Resumable Sessions
Backup and Recovery
Table Compression
Security
