ItzTraining Posted July 13, 2011 Report Posted July 13, 2011 IBM WebSphere DataStage and QualityStage – Version 8.1Unit -1 : Data Warehouse FundamentalsAn introduction to Data Warehousing – purpose of Data Warehouse – Data Warehouse Architecture – Operational Data Store – OLTP Vs Warehouse Applications – Data Marts Data marts Vs Data Warehouses – Data Warehouse Life cycle .Unit -2 : Data ModellingIntroduction to Data Modeling – Entity Relationship model (E-R model) – Data Modeling for Data Warehouse – Dimensions and fact tables – Star Schema and Snowflake Schemas.Unit -3 : ETL Design ProcessIntroduction to Extraction, Transformation & Loading- Types of ETL Tools – Key tools in the market .Unit -4 : Data Stage InstallationData stage Installation – Prerequisites to install Data stage – Installation process.Unit – 5 : Introduction to Datastage Version 8.1Datastage introduction – IBM information Server architecture –– DataStage components – DataStage main functions – Client components.Unit – 6 : Datastage AdministratorDatastage project Administration =- Editing projects and Adding Projects – Deleting projects Cleansing up project files – Global variable setting – Environement management – Auto purging – Rutime Column Propagation(RCP) – Add checkpoints for sequencer – NLS configuration – Generated OSH (Orchestra Engine) – System formats like data, timestamp – Project protect – Version details.Unit – 7 : Datastage DirectorIntroduction to Datastage Director – Validating Datastage Jobs – Executing Datastage jobs – Job execution status – Monitoring a job – Job log view – job scheduling – Creating Batches – Scheduling batches.Unit – 8 : Datastage DesignerIntroduction to Datastage Designer – Importance of Parallelism – Pipeline Parallelism – Partition Parallelism – Partitioning and collecting – Symmetric Multi Pro9cessing (SMP) Massively Parallel Processing (MPP) – Partition techniques – Datastage Repository Palette – Passive and Active stages – Job design overview – Designer work area – Annotations – Creating jobs – Importing flat file definitions – Managing the Metadata environment – Dataset management – Deletion of Dataset – Routines – Arguments.Unit – 9 : Working with Parallel Job StagesDatabase StagesOracle – Teradata – ODBC – dynamic RDBMSFile StagesSequential file – Dataset – File set – Lookup file set.Processing StagesCopy – Filter – Funnel – Sort Remove duplicate – Aggregator – Modify – Compress – Expand – Decode – Encode – Switch – Pivot stage – Lookup – Join – Merge – difference between look up, join and merge – change capture – Change apply – Compare – Difference – Surrogate key generator – Transformer.Debug StagesHead – Tail – Peek – Column generator – Row generator .Real Time StagesXML input – XML outputLocal and Shared containersUnit – 10 Advanced Stages in Parallel Jobs (Version 8.1)Range Look process – Surrogate key generator stage – Slowly changing dimension stage – iway stage – FTP stage – Java plug in – Job performance analysis – Resource estimation – Slowly Changing Dimensions implementation – Performance tuning.Unit – 11 Job SequencersArrange job activities in Sequencer – Triggers in Sequencer – Restablity – Recoverability – Notification activity – Terminator activity – Wait for file activity – Start Look activity – Execute Command activity – Nested Condition activity – Exception handling activity – User Variable activity – End Loop activity – Adding CheckpointsUnit – 12 Information AnalyzerIBM WebShpere Information Analyzer overview – Data Profiling process – Column analysis – Primary key analysis – Foreign key analysis – Cross-domain analysis – Baseline analysis – Aanalysis result publication – Deleting statistics reports – Baseline analysis reports – Cross-domain analysis summary statistics reports – Beseline analysis reports – Cross-domain analysis reports – Primary key reports – Foregin key analysis reports.Unit – 13 WebShpere Quality StageAbout Data Quality – Datastage quality stages – Investigate stage – Standardize stage Match Frequency stage – Unduplicate Match stage – Reference Match Stage – Survive stage.Unit – 14 IBM Information Server Administration GuideIBM WebSphere DataStage administration – Opening the IBM Information Server Web console – setting up a project ion the console – Customizing the project dashboard – Setting up security – Creating users in the console – Assigning security roles to users and groups – Managing licenses – Managing active sessions – Managing logs – Managing schedules – Backing up and restoring IBM Information Server.Thanks[email protected] Quote
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