Datastage course Beginner level by Satori Technologies and Solutions Private Limited

Data stage Content
Data Warehouse Fundamentals
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
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 components
Data Stage main functions
Client components.
Introduction to Data warehousing 9.1
What is Data warehousing and its purpose
Architecture of Data warehousing
OLTP Vs Data warehouse Applications
Data Marts
Data warehouse Lifecycle with Real-time examples
Definitions
ETL Process
Types of Tables in D/W
Types of FACTS tables
Types of DIMENSION tables
Types of Schemas in D/W
What is Data Mart
Warehouse Approaches
Data Modelling
Introduction to Data Modelling
Entity Relationship model (E-R model)
Data Modeling for Data Warehouse
Dimensions and fact tables
Star Schema and Snowflake Schemas
Coverage Tables
Fact less Tables
What to look for in modelling tools
Modelling tools
ETL Design process
Introduction to Extraction, Transformation & Loading
Types of ETL Tools
What to look for in ETL Tools
Key tools in the market
ETL Trends & New Solution Options
Data stage installation
Datastage Installation
Prerequisites to install Datastage
Installation process
DATASTAGE
Introduction to Datastage version
Datastage Introduction
IBM Information Server architecture
DataStage within the IBM Information Server architecture
Datastage components
DataStage main functions
Client components
Datastage Administrator:
Datastage project Administration
Editing projects and Adding projects
Deleting projects
Cleansing up project files
Auto purging
Permissions to users
Runtime Column Propagation
Enable Remote Execution of Parallel jobs
Add checkpoints for sequencer
Project protect
.APT Config file
Datastage Designer:
Introduction to Datastage Designer
Partitioning Techniques
Creating the Jobs
Compiling and Run the Jobs
Exporting and importing the jobs
Parameter passing
System(SMP) & Cluster system(MPP)
Importing Method(Flat file, Txt, Xls and Database files)
OSH Importing Method
Configuration file
Importing table definitions
Importing flat file definitions
Managing the meta data environment
Dataset management
Deletion of Dataset
Importing jobs
Exporting jobs(Back up)
Configuration file view
Explanation of Menu Bar
Palette
Passive stages
Active stages
Database stages
Debug stages
File stages
Processing stages
Mutiple Instances
Runtime Column Propagation(RCP)
Job design overview
Designer work area
Annotations
Creating jobs,deleting jobs
Compiling jobs
Batch compiling
Aggregator stage ,Copy stage
Change Capture stage,Compress stage
Filter stage,Funnel stage
Modify stage
Join stage,Lookup stages
Difference between join and Lookup stages
Merge stage
Difference between Lookup and Merge stages
Remove duplicate stage
Sort stage,Pivot stage
Surrogate key stage, switch stage
Types of Lookups
Types of Transformer stages
Basic transformer stage
Transformer stage
Null handling in Transformer stage
If Then Else in Transformer
Stage variables
Constraints
Derivations
Peek stage, Head stage, Tail stage
Job properties
Local variables
Functions in Transformers
String,Date,Null handling functions
All properties in all stages
Slowly changing Dimensions (SCD)
SCD Type-1
SCD Type-2
SCD Type-3
Implementation of SCD T ype-1 in Datastage
Implementation of SCD T ype-2 in Datastage
Datastage Director:
Introduction to Datastage director
Datastage Director window
Jobs status view
Datastage director options
Running Datastage jobs
Validating a job
Running a job
Batch Running
Stopping a job and resetting job
Monitoring a job
Job scheduling
Unscheduling a job
Rescheduling a job
Deleting a job
Unlocking jobs
View Logfile
Clear log
Fatal error description
Warning description
Info description
Difference between Compile and Validate
Difference between Validate and Run
JOB SEQUENCER:
Arrange job activities in Sequencer
Triggers in Sequencer
Reset method
Recoverability
Notification Activity
Terminator Activity
Wait for file Activity
Start Look Activity
Execute Command Activity
Sequencer
CONTAINERS:
Reusability
Minimizing complexity
Local container
Shared container
Some jobs in container
PARALLEL PROCESSING AND PARTIONING METHODS:
Parallel
Pipeline Parallelism
Partition Parallelism
Partitioning and Collecting
Configuration file
Fastname, Pools, Resource Disk, Resource Scratch Disk
Running Job with different nodes
Symmetric Multi Processing
Massively Parallel Processing
Partition techniques
Round Robin
Random
Hash
Entire
Same
Modulus
Range
DB2
Auto
Datastage components
Server components
Clients components
Datastage Server
Datastage Repository
Naming Standards of jobs
Document preparation
ETL specs preparation
Unit testcases preparation
KEY SERVICE I
Potential Migration approach and techniques
Datastage version upgrade migration (ie DS 7.5.2 to 8.18.5 8.79.1)
Datastage Server job to Parallel Job migration
ETL tool migration(ie InformaticsAbinito to Datastage)
DWH Database Migration (ie Oracle to Teradata )
DWH concept migration (SCD 1 Type structure to Type 2)
KEY SERVICE II
Estimation Templates (Simple /Medium/Complex Job)
Test case Vs Bug report templates
Check list for Datastage developers