DATASTAGE ONLINE TRAINING BY 'MENTORSINN' IN HYDERABAD INDIA

DATASTAGE ONLINE TRAINING
DATASTAGE 9.1 COURSE CONTENT
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
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.
ETL DESIGN PROCESS
Introduction to Extraction, Transformation & Loading
Types of ETL Tools
Key tools in the market.
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.
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.
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(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
WORKING WITH PARALLEL JOB STAGES
Database Stages
Oracle
ODBC
Dynamic RDBMS
File Stages
Sequential file
Dataset
File set
Lookup file set
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
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
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
End Loop activity
Adding Checkpoints
Jobs used in different real time scenarios.
Explanation of Sequence Job stages through different Jobs
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.