Oracle Database 11g- Administer a Data Warehouse
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Transcript of Oracle Database 11g- Administer a Data Warehouse
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Oracle University | Contact Us: +386 1 58888 20
Oracle Database 11g: Administer a Data Warehouse
Duration: 4 Days
What you will learnParticipants learn about Oracles Database partitioning architecture and how to identify the benefits of partitioning inaddition to using parallel operations to reduce response time for data-intensive operations. Participants extract,transform, and load data into an Oracle database warehouse. Participants also use materialized views to improve thedata warehouse performance and learn how query rewrites can improve performance.
The usage of SQL Access Advisor to optimize the entire workload, tuning materialized views for fast refresh and queryrewrite and also how to use the compression and resumable sessions features are discussed.Learn To:
Implement partitioning Use parallel operations to reduce response time Extract, Transform, and Load data Create, use, and refresh materialized views to improve the data warehouse performance Use Query rewrite to quickly answer business queries using materialized views Use SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite
AudienceApplication DevelopersData Warehouse AdministratorData Warehouse DeveloperDatabase AdministratorsSupport EngineerTechnical Consultant
PrerequisitesRequired PrerequisitesAbility to read and understand execution plans
Data Warehouse design, implementation, and maintenance experience
Good working knowledge of SQL and in data warehouse design and implementation
Course ObjectivesUse parallel operations to reduce response time for data-intensive operationsExtract, Transform, and Load data in the data warehouseCreate, use, and refresh materialized views to improve the data warehouse performanceUse Query rewrite to quickly answer business queries using materialized viewsUse SQL Access Advisor and PL/SQL procedures to tune materialized views for fast refresh and query rewrite Use the features of compression and resumable sessions
Copyright 2011, Oracle. All rights reserved. Page 1
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Review the basic Oracle data warehousing concepts
Course Topics
IntroductionDevelopment Tools Oracle SQL Developer Enterprise ManagerSample Schemas used
Data Warehouse Design: OverviewCharacteristics of a Data WarehouseComparing OLTP and Data WarehousesData Warehouse Architectures Data Warehouse DesignData Warehouse objectsData Warehouse Schemas
Data Warehouse Tuning ConsiderationsOptimizing Star QueriesIntroducing Bitmap Join IndexesUnderstanding Star Query Optimization and Bitmap Joined Index Optimization
Partitioning BasicsPartitioned Tables and IndexesPartitioning MethodsPartitioning TypesPartition Pruning and Star queries
Parallelism ConceptsOperations That Can Be ParallelizedHow Parallel Execution WorksDegree of ParallelismParallel execution planAutomatice Parallelism
Parallel Operations in Data WarehousesParallel Query Parallel DDLParallel DMLTuning Parameters for Parallel ExecutionBalancing the Workload
ETL: Extraction and TransportationExtraction MethodsCapturing Data With Change Data CaptureSources and Modes of Change Data CapturePublish and Subscribe Model: The Publisher and the SubscriberSynchronous and Asynchronous CDCAsynchronous AutoLog Mode and Asynchronous HotLog ModeTransportation in a Data Warehouse
Copyright 2011, Oracle. All rights reserved. Page 2
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Transportable Tablespaces
ETL: LoadingLoading MechanismsApplications of External TablesDefining external tables with SQL*LoaderPopulating external tables with Data PumpOther Loading Methods
ETL: TransformationData transformation Transformation MechanismsTransformation Using SQLTable FunctionsDML error logging
Materialized ViewsThe Need for Summary ManagementTypes of Materialized Views Using Materialized Views for Summary ManagementMaterialized View Dictionary views
Refreshing Materialized ViewsRefresh OptionsRefresh ModesConditions That Effect Possibility of Fast RefreshMaterialized View LogsPartition Change Tracking (PCT) RefreshRefresh Performance Improvements
Working With DimensionsWhat Are DimensionsCreating Dimensions and HierarchiesDimensions and PrivilegesDimension RestrictionsVerifying Relationships in a DimensionDimension Invalidation
Query RewriteQuery Rewrite: OverviewWhat Can be RewrittenConditions Required for Oracle to Rewrite a QueryQuery Rewrite guidelinesSetting Initialization Parameters for Query RewriteQuery Rewrite MethodsPartition Change Tracking (PCT) and Query RewriteQuery Rewrite Enhancement to Support Queries Containing Inline Views
Using the SQL Access Advisor, Compression, and Resumable SessionsSQL Access Advisor: Usage ModelSetting Initial Options Specifying the Workload Source
Copyright 2011, Oracle. All rights reserved. Page 3
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Recommendation OptionsSchedule and ReviewPL/SQL Procedure FlowTuning Materialized Views for Fast Refresh and Query RewriteTable Compression and Resumable Sessions
Copyright 2011, Oracle. All rights reserved. Page 4