Datastage Online Training

Course Duration : 30 Hrs

Datastage Course Content

Unit -1: 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.

Unit -2: Data Modeling

• Introduction to Data Modeling
• Entity Relationship model (E-R model)
• Data Modeling for Data Warehouse, Normalization process
• Dimensions and fact tables  
• Star Schema and Snowflake Schemas.

Unit -3: ETL Design Process

• Introduction to Extraction, Transformation & Loading
• Types of ETL Tools
• Key tools in the market.

Unit – 4: Introduction to Data stage Version 7.5x2 & 8.1& 8.5

• Data stage introduction
• IBM information Server architecture
• Data stage components
• Data Stage main functions
• Client components- Adding different Servers to our workspace.

Unit – 5:  Data stage Administrator

• Data stage project Administration
• Editing projects and Adding Projects
• Deleting projects Cleansing up project files
• Environmental Variables
• Environment management  
• Auto purging
• Runtime Column Propagation(RCP)
• Add checkpoints for sequencer
• NLS configuration
• Generated OSH (Orchestra Engine)
• System formats like data, timestamp
• Projects protect – Version details.

Unit – 6:  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.

Unit – 7:  Data stage Designer

• Introduction to Data stage Designer
• Importance of Parallelism
• Pipeline Parallelism
• Partition Parallelism
• Partitioning and collecting(In depth coverage of partitioning and collective techniques)
• Symmetric Multi Processing (SMP)
• Massively Parallel Processing (MPP)
• Introduction to Configuration file
• Editing a Configuration file
• Partition techniques  
• Data stage 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

Unit – 8:  Working with Parallel Job Stages

• Database Stages
• Oracle
• ODBC
•  Dynamic RDBMS
• File Stages
• Sequential file
• Dataset
• File set  
• Lookup file se

• Processing Stages
• Copy
• Filter
• Funnel
• Sort
• Remove duplicate
• Aggregator
• Switch
• Pivot stage
• Lookup
• Join
• Merge
• Difference between look up, join and merge
• Change capture
• External Filter
• Surrogate key generator
• Transformer
• Real time scenarios using different Processing Stages - Implementing different logics using Transformer
• Debug Stages
• Head
• Tail
• Peek
• Column generator
• Row generator
• Write Range Map Stage
• Real Time Stages
• XML input 
• XML output
• Local and Shared containers
• Routines creation
• Extensive usage of Job parameters, Parameter Sets, Environmental variables in jobs
• Introduction to predefined Environmental variables creating user defined Environmental variables and implementing the same in parallel jobs

Unit – 9:  Advanced Stages in Parallel Jobs (Version 8.1)

• Explanation of Type1 and Type 2 processes
• Implementation of Type1 and Type2 logics using Change Capture stage and SCD Stage
• Range Look process  
• Surrogate key generator stage
• FTP stage  
• Job performance analysis
• Resource estimation
• Performance tuning

Unit – 10: Job Sequencers

• Arrange job activities in Sequencer
• Triggers in Sequencer
• Restablity
•  Recoverability
• Notification activity  
• Terminator activity  
• Wait for file activity
• Start Loop activity
• Execute Command activity
• Nested Condition activity
• Exception handling activity  
• User Variable activity
• End Loop activity
• Adding Checkpoints
• Jobs used in different real time scenarios.
• Explanation of Sequence Job stages through different Jobs

Unit 11: IBM Information Server Administration Guide

• IBM Web Sphere Data stage 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.

Additional Features

• Performance Tuning of Parallel Jobs
• Data stage Installation process and setup
• Project Explanation