DATASTAGE ONLINE TRAINING
IBM laid out requirements companies must think about when developing an knowledge integration architecture equipped to grow with their needs. The seven requirements are:
1. A information flow architecture supporting information pipe lining
2. Dynamic information partitioning & in-flight repartitioning of information
3. Adapting to scalable hardware without requiring modifications of the information flow design
4. Support & take advantage of available parallelism of leading databases
5. High performance & scalability for bulk & real-time information processing
6. Extensive tooling to support resource estimation, performance analysis & optimization
7. Extensible framework to incorporate in-house & third-party application
Information available to business leaders continues to explode. Business requires an extensive information integration application platform that helps organizations derive more value from this complex, heterogeneous knowledge spread across their systems. It ought to include a suite of parts that provides end-to-end knowledge integration that offers discovery, understanding, transformation & delivery capabilities Quality Stage is a separate course.
The tool that I work on [InfoSphere DataStage] is designed to support these seven elements & provide the infrastructure customers need to accomplish high performance & scalability in their knowledge integration surroundings.
DATASTAGE ONLINE TRAINING COURSE CONTENT
INTRODUCTION TO DATAWARE HOUSING (DWH)
DATA WAREHOUSE FUNDAMENTALS
An Introduction of Data warehousing
purpose of Data warehouse
Data ware Architecture
OLTP Vs Data warehouse Applications
Data Marts
Data warehouse Lifecycle
SDLC
DATA MODELING
Introduction of Data Modeling
Entity Relationship Model
Dimensions and Fast Tables
Logical Modeling
Physical Modeling
Schemas Like Star Schema & Snowflake Schemas
Fact less Fact Tables
PROCESS OF ETL (EXTRACTION, TRANSACTION @LOAD)
Introduction of Extraction , Transformation and Loding
Types of ETL tools
Key tools in the market
INSTALLATION PROCESS
Windows server
Oracle
.NET
Datastage 7.5X2 & 8x
DIFFERENCE
Server jobs & Parallel jobs
COMPONENTS IN DATASTAGE
Administrator clint
Designer client
Director client
Import/export manager
Multi client manager
Console for IBM imformation server
Web console for IBM imformation server
INTRODUCTION TO IBM WEB SPHERE DATASTAGE AND QUALITY STAGE 8X
Datastage Introduction
IBM Information server Architecture
IBM Data Quality Architecture
Enterprise Information Integration
Web Sphere DataStage Components
DATASTAGE DESIGNER
About Web Sphere DataStage Designer
Partitioning Methods
Partitioning Techniques
Designer Canvas
Central Storage
Job Designing
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
PARALLEL PALETTE
DATABASES STAGES
Oracle Database
Dynamic RDBMS
ODBC
SQL Server
Teradata
FILE STAGES
Sequential File
Dataset
Lookup File set
DEV/DEBUG STAGES
Peek
Head
Tail
Row Generator
Column Generator
PROCESSING STAGES
Slowly changing dimension stage
Slowly changing dimensions implementation
Aggregator
Copy
Compress
Expand
Filter
Modify
Sort
Switch
Lookup
Join
Marge
Change Capture
Change Apply
Compare
Difference
Funnel
Remove Duplicate
Surrogate Key Generator
Pivot stage
Transformer
CONTANERS
Shared Containers
Local Containers
DS-DIRECTOR
About DS Director
Validation
Scheduling
Status
View logs
Monitoring
Suppress and Demote the Warnings
Peek view
DATASTAGE ADMINISTRATOR
Create Project
Delete Project
Protect Project
Environmental variables
Auto purge
RCP
OSH
Commands Execute
Multiple Instances
Job Sequence Settings
JOB SEQUENCE AREA
Job Activity
Job sequencer
Start loop Activity
End loop Activity
Notification Activity
Terminator Activity
Nested Condition Activity
Exception handling Activity
Execute Command Activity
Wait for file Activity
User variable Activity
Adding Check Points
Restartable
IBM WEB SPHERE QUALITY STAGE
Data Quality
Data Quality Stages
Investigate Stage
Standardize Stage
Match Frequency Stage
Reference Match Stage
Unduplicated Match Stage
Survive Stage
Viewing audit details in operational DASHBOARD reports
KEY SERVICE
FAQS
Covering DBA concepts
Concentration on performance tuning
Real time scenarios
Certification guidance
Resume preparation
Sample resumes
Interview & certification FAQS
How to face the interview
Class notes which is useful for who is trying for job
Project preparation
We also provide other Data Warehousing Classes like MSBI
