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Data Stage Online Training
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Data Warehouse Fundamentals
An 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
Data Modeling
Company News
ADOBE LIVE CYCLE
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2. Introduction to Data Modeling
Entity Relationship model (E-R model)
Data Modeling for Data Warehouse
Dimensions and fact tables
Star Schema and Snowflake Schemas
ETL Design Process
Introduction to Extraction,
Transformation & Loading
Types of ETL Tools
Key tools in the market
Data Stage Installation
Data stage Installation
Prerequisites to install Data stage
Installation process
Introduction to Data stage Version 8.1
Data stage introduction
IBM information Server architecture
Data Stage component
Data Stage main functions
Client components
Data stage Administrator
Data stage project Administration - Editing projects and Adding Projects
Deleting projects Cleansing up project files
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3. Global variable setting – Environment management
Auto purging – Runtimes Column Propagation (RCP)
Add checkpoints for sequencer – NLS configuration
Generated OSH (Orchestra Engine) – System formats like data,
Timestamp – Project protect – Version details.
Data stage Director
Introduction to Data stage Director – Validating Data stage Jobs
Executing Data stage jobs – Job execution status
Monitoring a job – Job log view – job scheduling
Creating Batches – Scheduling batches
Data stage Designer
Introduction to Data stage Designer – Importance of Parallelism
Pipeline Parallelism – Partition Parallelism
Partitioning and collecting - Partition techniques
Data stage Repository Palette – Passive and Active stages
Job design overview – Designer work area
Annotations – Creating jobs – Importing flat file definitions
Dataset Overview
Working with Parallel Job Stages
Database Stages
Oracle – Teradata – ODBC – dynamic RDBMS
File Stages
Sequential file – Dataset – File set – Lookup file set
Processing Stages
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4. Copy – 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 Stages
Head – Tail – Peek – Column generator
Row generator
Real Time Stages
XML input – XML output, Java packs,
Web service packs
Local and Shared containers
Advanced Stages in Parallel Jobs (Version 8.1)
Range Look process – Surrogate key generator stage
Slowly changing dimension stage – away stage
FTP stage – Java plug in – Job performance analysis
Resource estimation
Slowly Changing Dimensions implementation
Performance tuning
Job Sequencers
Arrange job activities in Sequencer
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5. 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 Checkpoints
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