Oracle Database 10g: Implement and Administer a Data Warehouse

This course is intended for database administrators, system administrators, and database application developers who design, maintain, and use data warehouses. Before attending this course, you should be familiar with relational database concepts, basic data warehouse theory, Oracle server concepts including application and server tuning, and the operating system environment under which you are running the Oracle Database Server.

Audience

• Data Warehouse Administrator
• Database Administrators
• Database Designers

Course Topics 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

Course Objectives

• 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